urltoken is an internet-based knowledge exchange , which includes wikianswers , referenceanswers , videoanswers , and five international language q&a communities .

the urltoken domain name was purchased by entrepreneurs bill gross and henrik jones at idealab in 1996 .

the domain name was acquired by netshepard and subsequently sold to gurunet .

the website is the primary product of the answers corporation ( previously gurunet ) , an internet reference and q&a company , founded by bob rosenschein , mark tebbe and mort meyerson in 1999 .

the site supports english , french , italian , german , spanish , and tagalog .

wikianswers is a community-generated social knowledge q&a platform , using wiki-based technologies .

answers . com

copyright © 2018 urltoken - all rights reserved . plantanswers and urltoken are trademarks of jerry parsons .
the company acquired the urltoken domain early last year for $ 80 , 000 .
in urltoken ' s a9 search site . gurunet also supplies information for comet systems .
postscript : businessinsider reports urltoken shareholders are going to try to prevent the deal from happening .
urltoken parker paradigms , inc . 5 penn plaza , 23rd floor new york , ny 10001
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> urltoken < / a > is announcing a ' significant ' minority investment from private equity firm ta associates . financial terms of the investment were not
join the conversation with randy on urltoken and have a voice in pushing revolution toward evolution . join the conversation
the key difference between gurunet ' s urltoken and a search engine like google is that urltoken offers an array of editorially produced reference materials , while search engines list web pages their algorithms deem relevant to the search term .
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“the urltoken acquisition is completely in line with iac’s m & a strategy of acquiring , at disciplined valuations , companies that are complementary and synergistic with both our existing businesses and our areas of expertise , ” said greg blatt , ceo of iac . “we are extremely excited to bring these two businesses together ; urltoken ’s content will differentiate and greatly increase the authority of urltoken ’s offerings , while ask’s expertise in search technology and user experience will improve the discoverability of existing content on urltoken . the complementary nature of these two businesses will provide significant synergies going forward , and thus we expect that urltoken will generate more profit as a part of urltoken and iac than it has been able to over the last few years . ”
urltoken bypasses search engines to yield succinct information on terms in any document , but it says google is not a competitor .
matt durr is a business reporter for the ann arbor news . email him at mattdurr @ urltoken or follow him on twitter .
each month , more than 1 million visitors in 223 countries across the globe turn to urltoken as a trusted source of valuable information .
the new york times , which was set to sell its urltoken unit to answers . com , now looks ready to sell it to barry diller instead .
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> twitter has always been good for getting immediate answers to the most esoteric questions . usually it is someone who is fo
answers corporation , which owns and operates a community - generated q & a site at urltoken , this morning announced that its database of answers now tops 10 million .
question and answer reference site urltoken has purchased dictionary . com’s parent company , lexico publishing , for $ 100 million in cash . lexico can really serve all your lexical needs because
the accommodation central team is available to answer any questions you may have regarding the reasonable accommodation process . if there are any questions , please send an email to act @ urltoken
we tracked urltoken since january 29 , 2018 . during last 30 days , it hasn ' t been working one time - on june 19 , 2018 . the average response time is 0 . 152 sec which is very good . note that response time may vary depending on how far you are from the urltoken server located in cedar knolls , united states .
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> every big publisher on the web wants to be able to serve up ad - friendly videos , but creating them can be a pain . but the
integrity associates working at urltoken should be prepared to work on both the thanksgiving and christmas holidays should amazon ' s business require it . as these days ' approach , specific details will be communicated .
5min is already one of the largest video networks , with more than 110 million video views a month and 30 million unique visitors across 800 partner sites . but urltoken will become its biggest partner by far . 5min syndicates videos from about 1 , 000 online video producers , including cbs , hearst , scripps , and watchmojo . anytime one of 5min’s videos matches a question asked on urltoken , wikianswers , or referenceanswers , video results will show up and they will play on the new video answers page . advertising revenues will be split between urltoken , 5min , and the video publisher , with roughly a third going to each .
the popular questions and answers site , urltoken has announced they have been acquired by afcv holdings , llc . for $ 127 million . afcv holdings is paying $ 10 . 50 per share for the outstanding shares .
upon closing , the about group will join iac’s search and applications reporting segment , joining urltoken , dictionary . com , mindspark , nrelate , and pronto . darline jean , about’s ceo , will report to doug leeds , urltoken ceo . this segment has recorded double digit growth for the last two years , consistently outperforming expectations and driving the company’s total revenue and profits . the deal was signed on sunday august 26 , 2012 .
the customer satisfaction firm - which analyzes customer experience for businesses - was created in 2001 and operated offices around the world . foresee was named the 2011 company of the year at the former urltoken deals of the year ceremony .
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with nearly 1 , 000 topic sites and more than three million unique articles , urltoken is one of the most comprehensive content and reference libraries on the internet , offering expert , quality content across 90 , 000 topics that helps users find solutions to a wide range of daily needs . globally , nearly 100 million unique users visit urltoken on a monthly basis . ask . com , with more than 100 million users globally of its own , is one of the leading search and q & a platforms on the internet .
new york , august 26 , 2012 / prnewswire / — today iac ( nasdaq : iaci ) announced that urltoken has agreed to acquire 100 % of the about group from the new york times company ( nyse : nyt ) for $ 300 million in cash .
employment and income verifications can be processed by visiting urltoken . if the business or agency requesting the verification does not have the ability to utilize thomas and thorngren , the verification form may be faxed to 302 - 661 - 8779 or emailed to voe @ integritystaffing . com .
urltoken is a web site devoted to news , analysis and opinion on technology , the internet and media . but it is different from other sites in this space . it is a fusion of different media styles , different topics , different formats and different sources . read more »
the new york times’ time with urltoken may be coming to an end . the paper has been looking to get rid of the struggling web site , which produces high - volume , low - cost content , and has a deal in place to sell it to answers . com .
urltoken does not guarantee that help will be provided for each and every request you submit , nor does it guarantee that it will be provided quickly enough to satisfy the needs of every student . remember – good teaching often requires preparation , and online tutoring is no exception to that rule .
now , after an unsuccessful foray into the enterprise search market , the company has returned to its consumer roots by retiring its subscription service in favor of an ad - supported revenue model and launching urltoken , a web site that will allow people to access its information warehouse without downloading the gurunet application .
answers , which owns consumer websites urltoken and multiply . com , said it hopes to deleverage more than 86 percent of its current $ 540 million in debt with a debt - to - equity conversion that it said is already backed by the holders of roughly 90 percent of secured claims . . . .
law360 , new york ( march 6 , 2017 , 6 : 59 pm est ) - - the private equity - backed owner of urltoken filed for chapter 11 protection in new york on friday , bringing to the bankruptcy court a prepackaged plan to cut $ 471 million in debt that it says has the overwhelming support of its secured lenders .
as a cooperative , we need your input to move in the right direction . every owner’s input allows cu * answers to shape our future together . discussion and voting within owner’s voice allows every owner to contribute to the process of guiding the priorities for the products and services offered at cu * answers and our urltoken partners . find out more !
“this is a rare merger with true bilateral synergies , ” said joey levin , ceo of iac search & applications . “on the one hand , the urltoken search and content business has generated exceptional revenue and profit growth by marketing and distributing a quality consumer search and q & a experience , and about provides ask with a tremendous amount of quality content to further enhance that experience and the credibility of the ask brand . on the other hand , urltoken has created , and today continues to grow , a library of content which consumers love across a vast array of categories , and we can now market and distribute that content and the about brand through ask and significantly increase traffic and profitability at about . ”
law360 , new york ( april 10 , 2017 , 9 : 42 pm edt ) - - the private - equity - backed owner of urltoken got the green light monday from a new york bankruptcy court for its prepackaged chapter 11 plan that will cut $ 471 million in debt and convert much of it to equity after its secured lenders voted to approve the plan .
integrity staffing offers supplemental health and welfare coverage to all of our associates . associates are eligible after working eight hours on their first assignment . if you are interested and would like to apply or would like information about your current benefits plan , you may download the pdf below with all associate benefit information . additionally if you have any questions please feel free to contact benefits @ urltoken .
attention cu * answers stockholders make sure your voice is heard ! vote electronically for board elections may 1 – june 22 , 2018 ! visit the cu * answers elections website elections . cuanswers . com . ready to vote ? visit urltoken and follow the instructions in your email . watch your email today for your voting instructions ( if necessary , you can change your vote during the annual… read more »
attention cu * answers stockholders make sure your voice is heard ! vote electronically for board elections may 1 – june 16 , 2017 ! visit the cu * answers elections website elections . cuanswers . com . ready to vote ? visit urltoken and follow the instructions in your email . watch your email today for your voting instructions ( if necessary , you can change your vote during the annual… read more »
attention cu * answers stockholders make sure your voice is heard ! vote electronically for board elections , now through june 16 , 2017 ! visit the cu * answers elections website elections . cuanswers . com . ready to vote ? visit urltoken and follow the instructions in your email . watch your email today for your voting instructions ( if necessary , you can change your vote during the annual stockholders… read more »
every big publisher on the web wants to be able to serve up ad - friendly videos , but creating them can be a pain . but there are already plenty of high - quality videos out there in every subject imaginable . with that in mind , urltoken has quietly launched video answers with about 200 , 000 videos from video distribution network 5min on everything from home repair and fashion tips to cars and travel .
to view or print your w2 form or pay statements please visit our employee portal at urltoken your user name is your last name plus the last 4 digits of your social security number . unless you have already logged into the portal in the past , your password will be the last 6 digits of your social security number . for example , if your name was john smith and your social security number was 123 - 45 - 6789 your login information would be :
one of the biggest q & a sites on the web , urltoken , now offers answers to anyone who tweets a question to @ answersdotcom . ( the @ answers account is owned by mahalo , which has its own rival social q & a service on twitter which routes questions to humans ) . when you tweet a question to @ answersdotcom , you get a reply almost immediately which is the top answer from the site , or from wikianswers , which it also owns .
urltoken supports the honor codes of all institutions of learning and provides academic assistance , i . e . college homework help , for no other reason than to help students learn . when using our services you agree to use this assistance in a manner consistent with the ethical and moral guidelines of your educational facility , and as such , we forbid the use of our services for any other purpose . any use of our services in violation of the ethical standards of your college or university could lead to serious probationary or punitive measures by your school .
cu * answers sets a record for new members processed in cu * base with over 160 , 000 added through conversions and mergers . 11 credit unions join its network of credit unions . cu * answers invests in imaging solutions team , taking over the sales and support process for e - document strategies . cu * answers and its urltoken network partners design a new sales culture and foundation , presenting a significant opportunity for expanding the suite of services , and welcome partner chatter yak ! into the fold . working with payveris for transaction processing , cu * answers designs its first native user interface within it’s me 247 online banking for bill pay .
to enroll in direct deposit , you must log into your employee portal at urltoken . your user name is your last name and the last four of your social security number . your password is the last six of your social security number . once you have logged in , click the link icon at the top of the screen and choose
request direct deposit
. follow the instructions and click finish . if your direct deposit information is entered by 3 : 00 pm on a tuesday , your current week’s pay will be in your indicated account on friday . if your information is entered after 3 : 00 pm on a tuesday , your current week’s pay will be on the aline pay card . since the cutoff was missed , your direct deposit will not begin until the following friday .
the new york times company agrees to sell its about group to iac new york , august 26 , 2012 – the new york times company ( nyse : nyt ) has entered into an agreement to sell its about group , which includes the web sites of about . com , urltoken and caloriecount . com , to iac ( nasdaq : iaci ) for $ 300 million in cash . the all cash transaction is expected to close in the next several weeks . the company intends to use the net proceeds for general corporate purposes . “about . com has been a strong contributor to our company since its acquisition in 2005 , ” said arthur sulzberger , jr . , chairman , the new york times company . “about’s early expertise in search engine optimization , expert content and revenues from cost - per - click and display advertising made it a valuable component of our portfolio for the past seven years . this sale will allow the times company to focus on the development and growth of our core brands locally , nationally and on a global scale . ”
twitter has always been good for getting immediate answers to the most esoteric questions . usually it is someone who is following you who supplies the answer , and those are always the best ones . but q & a sites also want in on the supplying answers to people with questions on twitter .
@ answersdotcom does best with trivia or factual questions . ask , how many bones are in the human body ? it comes up with 206 . or , how many people live in france ? it estimates 65 million .
but if you ask , what wine goes with lamb ? , apparently nobody has ever asked that on answers . com .
answers corporation has laid off another 100 employees of foresee according to reports from current and former employees . the newest round of cuts is the second since answers bought foresee in 2013 . ( matt durr | the ann arbor news )
nineteen months after being sold to the answers corporation for more than $ 200 million , ann arbor - based foresee has undergone more lay offs as part of nearly 100 cuts made by answers corporation .
employees were made aware of the layoffs wednesday , several current and former employees confirmed to the ann arbor news after receiving correspondence regarding the layoffs from company executives .
calls and emails to foresee made by the ann arbor news wednesday and thursday have not been returned . attempts to reach answers corporation have also been unsuccessful .
a worker adjustment and retraining notification act ( warn ) notice regarding the layoffs has not been issued by foresee , according to state records . it is unknown how many employees were laid off in the ann arbor foresee office , or where the other staff reductions were made .
in january 2014 , between 50 and 75 employees were laid off just weeks after the sale to answers was completed . at the time , a spokeswoman for the company said there were 335 employees at the ann arbor offices and there were plans to hire an additional 150 over the next year .
answers corporation was acquired in september 2014 by apax partners , but the terms of the deal were not disclosed . the acquisition was worth approximately $ 900 million to apax partners .
the initial round of layoffs at foresee in 2014 was described as part of a restructuring effort by answers after they acquired webcollage , easy 2 technologies and reseller ratings around the same time .
founder and former president and ceo larry freed resigned from the company weeks after the sale was complete , but did not give a reason for his decision .
freed declined to comment on the layoffs as did representatives from ann arbor spark .
following the sale of foresee , freed wrote in a blog post about the opportunity to grow the company .
this is an amazing opportunity for us to continue to grow with increased resources and to join a very successful company without sacrificing our autonomy , our unique company culture , or any of the personnel that has made us so successful to date ,
freed wrote .
this is a move that was good for employees , shareholders , and our clients , because it just allows us to do what we already do well , and to do it even better .
nothing should change for clients or employees except that we are stronger than ever .
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“what we are really building here is ability for every publisher to have their own video section without producing because i think there is no roi for production , ” says ceo ran harnevo . the videos in his network are all in highly - targeted , evergreen niches like yoga or food videos with low double - digit cpms . video producers ca extend their reach beyond their own sites by syndicating with 5min and make some extra cash .
5min’s model contrasts with demand media’s , which produces its own videos at $ 50 or so a pop and shows them on ehow and its portfolio of search - friendly niche sites . aol also wants to get into this game with its recent acquisition of studio now . but 5min’s philosophy is to let others produce the best videos , and focus on distributing them at scale , while splitting the downstream revenues . “destinations are just not big enough today , ” he says .
the question - and - answers site has signed a letter of intent to buy about for $ 270 million , according to people familiar with the transaction .
the deal hasn’t closed yet , and i’m told that answers’ backers — pe firms summit partners and ta associates — are trying to line up financing .
the times bought about , the precursor to “content farms” like demand media , for $ 410 million in 2005 . last year , about ceo cella irvine left the company following a string of lousy quarters , but about’s performance has yet to improve .
last month , the times took a $ 195 million goodwill write - down on the unit , which is largely dependent on search traffic from google .
“while about is gaining momentum in its turnaround efforts , and we expect to build on that progress in the second half of the year , we have reduced our long - term display growth and profitability assumptions for the group , ” times cfo james follo told investors .
i’ve asked answers’ executives for comment . times pr head robert christie says , “the company has a policy that it doesn’t discuss potential acquisitions and divestitures . ”
update : the times is now confirming “talks” without naming names . via press release : the new york times company confirmed today that it is engaged in discussions regarding the potential sale of its about group . no definitive agreement has been reached . the negotiations are ongoing and there can be no assurances that an agreement will be reached or that a transaction will be completed .
tagged with : about group , about . com , cella irvine , demand media , google , new york times
api - video / find _ all _ videos . asp & fields ; = id , videostillurl , thumbnailurl , guid , video320kmp4url , name , duration & count ; = 4 & doctype ; = 128
there’s a lot of attention and pr around marissa , but their product lineup just kind of blows .
in conjuction with the announcement , answers corporation is today debuting its first iphone app , a free fast - paced trivia game dubbed blufr .
the 10 millionth answer registered by the israeli / us company came in response to the question : “who was the first native american to play pro - football ? ” ( direct link ) .
the company points out that the answer to this question can improve over time as people contribute their knowledge by using the site’s “improve” feature . questions can also be discussed in answers . com’s community forum and can easily be shared on social networking sites such as facebook and twitter .
bob rosenschein , ceo of answers . com , also reveals in the press release that its community is now 5 . 5 million registered members strong .
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“this is a great outcome for our shareholders , ” said bob rosenschein , founder , chairman and ceo . “after an exciting six years as a public company , we are very pleased to achieve considerable value for our investors . the acquisition price of $ 10 . 50 per share represents a significant cash premium of approximately 33 % over our 90 - day volume - weighted average closing stock price . ”
mr . rosenschein continued , “this agreement is also a positive for our community members . the integrity and commitment of our company to our products remain unchanged , as we continue our mission of creating the ultimate destination for answers . ”
a source close to outboard investments , which owns 9 . 2 % of the company , told us , “there’s not a shot in the world this thing is going through . this is going up for auction or it’s not going down . ”
says a principle : “we got this news this morning with our cornflakes – on yahoo . the company gave no indication that it was anywhere near making a deal with anybody or that it was even shopping it around . ”
“we’re not agreeing to anything at this stage . we’re waiting for the fourth quarter outcome . all we’ve seen is less than bare bones . our expectation is that on reflection , the board will reconsider and look for signifinantly higher price . ”
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people familiar with the transaction say the times now plans to sell about to diller’s iac conglomerate for about $ 300 million . the times had previously planned to sell about to answers for about $ 270 million .
diller lobbed in his offer after allthingsd broke the news of the pending answers transaction .
apparently , the fact that he’s offering a “clean cash” deal helped sway the times and its allen & co . bankers . answers and its private equity backers summit partners and ta associates were going to finance the deal with debt , and would have included equity in answers as part of the transaction .
tagged with : about . com , answers . com , barry diller , iac , new york times
when allthingsd began , we told readers we were aiming to present a fusion of new - media timeliness and energy with old - media standards for quality and ethics . and we hope you agree that we’ve done that .
certified site metrics are metrics that are directly - measured from the website instead of estimated . the website owner has installed an alexa certify code on the pages of their site and chosen to show the metrics publicly .
not all websites implement our on - site analytics and publish the results . for these sites , we show estimated metrics based on traffic patterns across the web as a whole . we identify these patterns by looking at the activity of millions of web users throughout the world , and using data normalization to correct for any biases .
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if a site has certified metrics instead of estimated , that means its owner has installed code allowing us to directly measure their traffic . these metrics have a greater level of accuracy , no matter what the ranking .
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gurunet - - a reference service that bypasses search engines to yield succinct information on terms in any document - - launched a new web site monday that it insists will not compete with google .
gurunet , a new york - based , publicly traded company with a research and development unit in jerusalem , gained attention in 1999 for its desktop application that made any word in a document searchable with a single click .
the consumer market is a great place to be ,
said gurunet ceo bob rosenschein , who described his company ' s enterprise foray as
painful .
all the metrics are up : connectivity , usage , number of searches , length of queries - - everything about looking things up on the internet is growing ,
he said .
while google offers dictionary definitions of its own , above its list of web page results , rosenschein insists his company is in a different business .
we believe sometimes you don ' t want to search for web pages , and what you want is a quick definition ,
rosenschein said .
sometimes people want information very quickly and that ' s not google ' s strength . we are not competing head to head with any of the search engines . we complement or supplement their offerings . google is in a league of its own .
in fact , gurunet offers another avenue into google ' s catalogue of web pages , images and news headlines .
a search on google for shirley chisholm - - the former new york city representative in the house of representatives who was the first black woman to serve in congress - - turned up a news headline about her death new year ' s day and links to 90 , 000 web pages . on answers . com , the results page displayed four different brief biographies , along with links to google results and other web resources .
gurunet boasts about 100 different information sources populating its results , including search engines , encyclopedias , almanacs , image databases and dictionaries . some of those information sources are free ; gurunet licenses the rest .
. that market proved a bad fit for the company , which found enterprise adoption cycles too slow and costly .
while gurunet tried its corporate fortunes , the consumer search market heated up , with google rising to the top of the heap and enjoying a spectacular initial public offering .
be respectful , keep it clean and stay on topic . we delete comments that violate our policy , which we encourage you to read . discussion threads can be closed at any time at our discretion .
no , pokemon go itself is not dangerous . paying attention to your phone instead of your surroundings is dangerous , especially while driving . going to dangerous places and tresp
the timeworn and pedestrian answer is simply
to get to the other side .
here are some creative and original answers : the chicken crossed the road . this fact is rarely dis
zeus was believed by the ancient greeks to be one of the olympian gods , and all the olympian gods lived on mt . olympus . there were twelve olympians . they were : zeus , poseidon ,
the terms that can be used when it comes to flamingos , is flock , colony , regiment , flurry , stand , and flamboyance of flamingos .
the vice president becomes the new president if the president vacates his office for any reason , including death , resignation , or forced removal via the impeachment process .
peanuts are sometimes used in dynamite , in the form of peanut oil . some manufacturers use it to make glycerol , which is an ingredient of nitroglycerine , although it is not an
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skymind is an artificial intelligence company supporting the open source deep learning framework deeplearning4j and the jvm-based scientific computing library nd4j .

the company was founded in 2014 by adam gibson and chris nicholson , and is headquartered in san francisco , california .

it is privately funded , and raised $ 3 million in seed financing in 2016 .

skymind

understand why skymind is a good enterprise choice for those embarking on ai initiatives .
skymind has partnered with the largest software and hardware vendors in the enterprise it ecosystem .
copyright © 2017 . skymind . nd4j is distributed under an apache 2 . 0 license .
cisco integrates with skymind to bring ai / ml workloads to hyperconverged infrastructure . read more →
orange tests skymind ' s deep learning software to identify fraud in telecommunications . read more →
chris nicholson is a co - founder at skymind , an enterprise - facing deep learning company .
softbank integrates skymind ' s skil somatic for building household robots with sensory data . read more →
in september , skymind raised $ 3 million from y combinator and the chinese internet giant tencent .
the skymind intelligence layer is the open - source enterprise distribution which is a pre - built and pre - configured collection of software packages focused on machine learning . skymind ' s products include :
2015 presentation on deep learning for the enterprise by skymind , the commercial support arm of deeplearning4j .
create a new experiment in the skymind intelligence layer ( skil ) by importing a zeppelin notebook .
the latest step down this path is tuesday’s announcement of cloudian’s collaboration with skymind , an ai company .
as a member of several global consortiums , skymind is part of an ecosystem of complementary products and services .
$ 42 billion french telecom orange sa is already using skymind and its skymind intelligence layer ( skil ) to build and deploy production code for deep - learning projects . skil facilitates the digital interactions between skymind and existing tools like hadoop . nicholson also notes interest from medium - size companies in traditional data - rich sectors like financial services and e - commerce .
skymind is the company behind the deeplearning4j framework . deeplearning4j makes efficient use of gpus and integrates with distributed systems such as hadoop and spark to scale to large data sets . skymind sells an enterprise editions of its software together with training and support .
with nvidia’s powerful dgx - 1 ai supercomputer and skymind’s open - source deep learning distribution , skil ( skymind intelligence layer ) , large organizations can leverage a single , unified platform that works natively with their existing software to build deep learning solutions .
the libraries are completely open - source , apache 2 . 0 , and maintained by the developer community and skymind team .
skymind academy enables your team to build deep learning solutions . we offer private corporate seminars and public workshops . learn more at urltoken
500 , 000 docker pulls for the skymind intelligence layer ce . check out the rest api for our free machine learning model server :
less than 48 hours after skymind’s funding round , two other emerging analytics providers called arcompany and realsociable inc . merged into new company bearing the name
skymind sells software and services based on deeplearning4j , a popular tool that enterprise programmers are using to build systems to detect fraud and recognize images for business .
20 . urltoken help @ urltoken skymind inc . u . s . a . 1328 mission street suite 9 san francisco , ca 94103 help @ urltoken urltoken
we had a chance to talk with chris nicholson , founder and ceo of the deep learning company skymind , to discuss where the future of ai is heading .
( for most of that time , i’ve been working on a deep learning startup called skymind , and raised more than $ 3 million dollars from angels , seed funds , and larger investors on the idea that deep learning will transform most industries . skymind built deeplearning4j , an open - source framework for java and scala . )
without the engagement of skymind customers and community , and the generous backing of skymind’s investors – tencent ’s investment team , led by david wallerstein ; liquid 2 ventures ; mandra capital ; sv angel ; ullas naik ; hemi ventures ; wei guo ; ray lanes’s greatpoint ventures and others – deeplearning4j would not exist in its present form .
new startup skymind offers support for open source deep learning - it offers support and services for deeplearning4j , an open source deep learning project it has created . [ 5 ]
skymind is an early - stage company , but it ' s quickly establishing itself as one of silicon valley ' s premier sources of expertise on artificial intelligence in the enterprise .
skymind is its commercial support arm , bundling deeplearning4j and other libraries such as tensorflow and keras in the skymind intelligence layer ( community edition ) , a deep learning environment that gives developers an easy , fast way to train and deploy ai models . skil ce is free and downloadable here . skil acts as a bridge between python data science environments and the jvm .
open - source deep - learning allows retailers and e - commerce companies to empower their internal teams to create , customize and adapt recommender solutions with the help of deep - learning experts at skymind . online retail has wholeheartedly embraced open - source , starting with linux as an operating system , continuing through the big data ecosystem of hadoop and spark , and ending with the analytics necessary to take actions . skymind’s deep learning offers record - breaking analytics tools to the open - source enterprise . with them , skymind clients are actively modernizing how they sell .
this screencast shows how to use skymind ' s datavec to build an image pipeline to prepare data for processing in a neural network using deeplearning4j . topics covered include , parentpathlabelgenerat . . .
deeplearning4j is part of a set of open source libraries for building deep learning applications on the java virtual machine . it is one of several open - source libraries maintained by skymind engineers .
skymind , a company developing an open - source deep - learning library for java , along with tools for implementation , today closed $ 3 million in financing from tencent , sv angel , greatpoint ventures , mandra capital , hemi ventures and y combinator . skymind was previously part of y combinator’s winter 2016 batch and has taken money from joe montana’s liquid 2 ventures and a number of other prominent angels .
for instance , skymind cofounder adam gibson and top engineer josh patterson were tapped by famed tech publisher o ' reilly to write its guide to
deep learning ,
a core technology in building ai .
cloudian will combine its scalable , on - premises storage systems for hyperscale technology in the data center with skymind’s deeplearning4j ability to recognize patterns in massive amounts of data . this will give users actionable intelligence .
the skymind and dl4j team’s mascot is a mathematical object , the oloid , which is composed of two linked congruent circles in perpendicular planes . to us , it stands for non - dualism and interdependence .
we’d like to thank chris for taking the time to answer some of our questions . skymind was founded in 2014 and is headquartered in san francisco . to learn more about the company , check them out here .
this screencast shows how to use skymind ' s datavec to ingest comma separated values from a text file , convert the fields to numeric using a datavec transform process in spark , and save the modified . . .
i can spend months organizing data before i ' m even to the point of being able to analyze it and that ' s not even speaking to the confidence level of data accuracy . with skymind ' s deep learning solutions , analysts like me can present solutions derived from organized data much , much quicker . skymind is pushing towards a future where every data point is accounted for , delivering the what so analysts can deliver the why .
the goal of skymind is become an open - source ( that ' s right , it ' s all open - source ) artificial intelligence layer for enterprise data systems , similar to how red hat supports the open - source operating system layer . in order to achieve that goal , skymind is not stopping with deeplearning4j . rather , it has recently introduced another deep learning layer called skil ( skymind intelligence layer ) . thanks to a $ 3 million seed round from tencent , sv angels , great point ventures , mandra capital and y combinator , the company that was started in bunk beds in a hacker house is moving forward with bringing more deep learning solutions to enterprise data warehouses .
object detection skymind ' s image recognition technology can be trained to recognize specific objects or patterns such as scenes in images . for example , it can detect corporate logos and therefore perform copyright infringement functions . alternatively , it can detect weapons , both carried openly and hidden under clothing . open - source deep - learning allows those institutions to empower their internal teams to create , customize and adapt image recogntion solutions with the help of deep - learning experts at skymind .
skymind launches with open - source , plug - and - play deep learning features for your app - deep learning essentially drives computers to make inferences like human brains do , based on the consideration of lots of information . [ 7 ]
this screencast shows how to use skymind ' s datavec to build an image pipeline to prepare data for processing in a neural network using deeplearning4j . topics covered include , parentpathlabelgenerator and image scaling . browse all our public training courses at urltoken .
14 . deep learning for enterprise 14 skil® the skymind intelligence layer - deep learning in production skil is skymind’s proprietary enterprise distribution . it contains all of the necessary components and dependencies to deploy to production deeplearning4j as well as the proprietary vendor integrations and open source components . r core components core components are composed of our full suite of open - source libraries such as deeplearning4j , nd4j , datavec , javacpp and libnd4j . this is everything you need to build a deep learning application . vendor integrations vendor integrations are separate proprietary pieces of software that we bundle with our enterprise distribution . this includes hadoop distributions , connectors and chip / blas integrations . reference architecture skymind intelligence layer ( skil ) works natively with the jvm stack .
skymind employs 15 people , but they are not all centralized in a single opulent palo alto or soma headquarters like most startups these days . instead , members of the team operate out of japan , south korea and australia . many of these engineers came directly from the skymind open - source community , where they were working on their own challenges with the library . of course , the company does have a small soma headquarters , but it’s not nearly as integral to the core business .
to help enterprises keep pace in the new phase of digital transformation with artificial intelligence ( ai ) , skymind offers an end - to - end ai service with a leading deep - learning framework written in enterprise - friendly java , called deeplearning4j ( dl4j ) .
these are just a few examples of how businesses are using ai to add value . the combination of massive gpu computing resources with a deep learning framework adapted to java and the enterprise production stack makes the nvidia and skymind offering a powerful tool for enterprise teams .
skymind is the company behind deeplearning4j , the only commercial - grade , open - source , distributed deep - learning library written for java and scala . integrated with hadoop and spark , dl4j is specifically designed to run in business environments on distributed gpus and cpus .
skymind is the company behind deeplearning4j , the only commercial - grade , open - source , distributed deep - learning library written in java and scala . used by fortune 500 corporations , dl4j is specifically designed to run in business environments on distributed gpus and cpus .
17 . urltoken help @ urltoken 17 skymind university machine learning is one of the fastest - growing and most exciting fields in technology , and deep learning represents the state of the art . through skymind university , you can master our deep learning technologies with our lab - intensive , real - world training . get certified our certification program helps professionals demonstrate their skills and credentials and build their careers . it gives employers a meaningful way to develop qualified professionals and also allows entrepreneur to build amazing products using deep learning technology . skymind university starts with the practical , teaching you what you need to knowtostartsolvingrealworldproblems . our program covers everything from data pipelines and deep learning model development to deploying deep learning to production . whether you’re updating your expertise or building brand new skills , this is where it all begins .
the mission to bring google’s ai to the rest of the world - skymind will serve not only as a steward for this open source project but as a consultant that will help others use the code to build their own ai - powered online services . [ 6 ]
nd4j is an open - source , distributed deep - learning project in java spearheaded by the people at skymind , a san francisco - based business intelligence and enterprise software firm . we’re a team of data scientists , deep - learning specialists , java programmers and semi - sentient robots .
eclipse deeplearning4j is an open - source , distributed deep - learning project in java and scala spearheaded by the people at skymind , a san francisco - based business intelligence and enterprise software firm . we’re a team of data scientists , deep - learning specialists , java systems engineers and semi - sentient robots .
but while it certainly lends itself to a wide range of use cases , hadoop can’t support every single data - crunching workload in the enterprise . applications that use deep learning algorithms to process data , for instance , often need to be run on specialized frameworks like the deeplearning4j engine from skymind inc . , which
a startup called skymind launches , pushing open source deep learning - the existence of open source libraries backed by professional services could certainly help spur adoption — especially for a field of data analysis previously relegated to top universities and research labs at companies such as google , microsoft , facebook and baidu . [ 9 ]
if you have any questions , please join us on gitter ; for premium support , contact us at skymind . nd4j is the java - based scientific computing engine powering our matrix operations . on large matrices , our benchmarks show it runs roughly twice as fast as numpy . dl4j ' s programming guide is available here .
skymind libraries were downloaded 22 thousand times last month , and that number is growing at 17 percent month over month . nicholson wants the company to continue to develop tools for data scientists . these tools could eventually include packages to better democratize access to reinforcement learning , a categorization of reward - based machine learning , for existing businesses .
skymind , the creator of the deeplearning4j open source deep - learning library , and cloudian are set to create data - management solutions for the hyper - scalable data sets necessary for ai and ml use cases , that target vertical industries such as medical , fraud detection for financial services , security and robotics , to name a handful .
3 . adam gibson | skymind who is deep learning for ? ● chief information officers looking for the highest performance in machine learning ● businesses looking to maximize the value of small data science teams , creating apps and cutting costs . ● data scientists and programmers who seek to process huge amounts of unstructured data without laborious feature extraction . users
one sector that will not be leveraging skymind is the top layer of large tech companies that have poured billions of dollars into developing their own open - source technologies . google’s tensorflow , amazon’s dsstne and baidu’s paddle have all found their way into a number of external applications . importantly , however , none of these tools are built for java .
“cloudian and skymind help organizations extract actionable information from vast pools of unstructured data , ” said tso . “training data is the foundation of ai and ml . more training data and better metadata tagging result in quicker , more effective learning , making data the dynamic asset that is the key to unlocking ai and ml’s business impact , ” he added .
there are a lot of knobs to turn when you’re training a distributed deep - learning network . we’ve done our best to explain them , so that deeplearning4j can serve as a diy tool for java , scala and clojure programmers working on hadoop and other file systems . if you require support or customization beyond these tutorials , please contact us at skymind .
our open - core product , the skymind intelligence layer , bundles the deeplearning4j suite of libraries alongside a conda environment with tensorflow , keras , scikit - learn and other popular machine learning tools . skil makes it easy to perform distributed training , testing against production environments , and deployment of trained models to production , automating redundant , everyday workflow tasks faced by data scientists .
6 . deep learning for enterprise 6 what is skymind ? we make deep learning accessible to enterprises about us skymind is tackling some of the most advanced problems in data analysis and machine intelligence . we offer state - of - the - art , flexible , scalable deep learning for enterprise . deep learning is becoming an important tool for natural - language processing ( nlp ) , computer vision , database predictions , pattern recognition , speech recognition , predictive analytics and fraud detection . we support urltoken and nd4j . org , the only commercial - grade , open - source , distributed deep - learning library written for java and scala . integrated with hadoop and spark , dl4j is specifically designed to run in business environments on distributed gpus and cpus . r
to be fair , skymind ' s target market is a bit above my pay grade . it is aimed squarely at cios who are staring at thousands of data tables , sipping their coffee and wondering what do with all that information . i ' ve worked for these cios . they need insight , they need to be able to make forecasts and analyze historical transactions or customer behavior .
deeplearning4j aims to be cutting - edge plug and play , more convention than configuration , which allows for fast prototyping for data scientists , machine - learning practitioners and software engineers . dl4j is customizable at scale . released under the apache 2 . 0 license , all derivatives of dl4j belong to their authors . dl4j can import neural net models from most major frameworks via keras , including tensorflow , caffe and theano , bridging the gap between the python ecosystem and the jvm with a cross - team toolkit for data scientists , data engineers and devops . keras is deeplearning4j ' s python api . skymind is the second - largest contributor to keras after google , and offers commercial support for keras . machine learning models are served in production with skymind ' s machine learning server .
read : urltoken at skymind , we’re tackling some of the most advanced problems in data analysis and machine intelligence . we offer state - of - the - art , flexible , scalable deep learning for industry . deep learning is becoming an important tool set for natural - language processing ( nlp ) , computer vision , database predictions , pattern recognition , image / video processing and fraud detection .
the skymind intelligence layer ( skil ) is an open - source enterprise distribution that contains all necessary components and proprietary vendor integrations to build production - grade deep learning solutions . core components are composed of the full suite of open - source libraries such as deeplearning4j , nd4j , datavec , javacpp and libnd4j . along with vendor integrations , you get everything you need to build a deep learning application .
yes ! deeplearning4j ' s python api employs keras , a high - level , intuitive abstraction layer that also takes tensorflow and theano as a backend . teams that have trained models on other python frameworks can import them to the jvm and deeplearning4j using keras model import . and developers just starting to train configure and train a model can do so via our python interface . skymind is the second - largest contributor to keras and offers commercial support for the framework .
image classification image classification categorizes objects that appear in images . for example , skymind ' s image recognition technology can be trained to recognize vehicle categories such as cars , trucks and motorcycles . this allows users to sort images in real time and flag certain objects as necessary . skymind ' s image recognition technology also provides pre - trained classifiers that can label images with existing categories , so that it becomes easier to automatically tag large collections of images . in the vanguard of the ai revolution , a few companies are moving now to apply the most accurate techniques to their costliest and most challenging problems . they are the companies embracing deep learning to cut risk and modernize compliance . optical character recognition ocr is the process of extracting text from images . ocr can be applied to scanned or photographed documents , pictures , or photos to them them to computer - readable formats . that makes it easier to sort , store and search those documents .
the enterprise demands performance , fault tolerance , and scalability . skymind helps you take any tensorflow , keras , deeplearning4j , or pmml model and deploy it as an enterprise - ready microservice . we give you all of the tooling you need to satisfy your systems engineers such as monitoring and integration support . our flagship software skil helps you bridge r & d ; to deployment and improve your models for any use case : fraud detection , computer vision , product recommendation , and more .
to be sure , the algorithms championed by gibson are still an awfully long way from cloning the human brain–which means even the artificial intelligence moniker is a big of a stretch–and skymind is still very much in its infancy . but google and microsoft have shown that deep learning can advance the state of the art , and with his startup , gibson has at least identified the next logical step for this fledgling technology . if he doesn ' t bring deep learning to the rest of world , someone else will .
skil will bundle up deeplearning4j and the other skymind open - source libraries and integrate with numerous big - data tools like hadoop and spark , as well as message queue kafka and cloud controlling openstack . skil will allow users to build production grade deep learning deployments , adding that artificial intelligence layer to the dirty piles of unorganized ( or even slightly organized ) data . we collect a lot of data , sometimes we need help not only cleaning up that data for presentation - - but knowing what it is .
7 . • “a breakthrough in machine learning would be worth 10 microsofts . ” - bill gates , microsoft • “machine learning is the next internet . ” - tony tether , darpa director • “web rankings today are mostly a matter of machine learning . ” - prabhakar raghavan , yahoo director of research • “machine learning is going to result in a real revolution . ” - greg papadopoulos , sun cto • “machine learning is todayʼs discontinuity . ” - jerry yang , yahoo deep learning is that breakthrough , and skymind is bringing it to industry .
9 . urltoken help @ urltoken 9 skymind’s suite of tools takes advantage of the latest distributed computing frameworks including hadoop and apache spark to improve model training . first commercial - grade , open - source , distributed deep learning library deeplearning4j is the most widely used open - source deep learning tool for the jvm . its aim is to bring deep learning to the production stack , integrating tightly with popular big data frameworks like hadoop and spark . deep learning excels at identifying patterns in unstructured data . this includes images , sound , time series and text . sound text time series image video
team . deepmind raised and finally was acquired on the strength of its team . starting with the founders , deepmind gathered some of the best minds in deep learning , cleverly working their connections in academia to find the top graduate students until they almost cornered a very small market . smart people gravitate to smart people . for skymind , open - source gave us a way to send out a beacon and gather talent together in one team . a lot of the world’s smartest engineers want to work on open - source ai , and they consider it vastly preferable to polishing another mobile app .
people gather data without knowing what it is . most data storage has a bunch of stuff that no algorithm has tagged ,
skymind ' s co - founder / ceo chris nicholson tells me via email .
you can have a million photos and not know what ' s in the photos . but deep learning can tell you what ' s in them . and deep learning can tell you which transactions , of the billion your bank processed today , are probably fraudulent . deep learning takes the raw data of business , and interprets it so people can know what they ' re dealing with .
alongside another engineer named josh patterson , who previously worked for big data startup cloudera , gibson has built a new library of deep learning software tools that ' s freely available to anyone , and skymind will serve not only as a steward for this open source project but as a consultant that will help others use the code to build their own ai - powered online services . based on academic papers published by some of the deep learning engineers now working for google and facebook , the software could help power everything from voice recognition to language translation to the kind of automatic product recommendations you see when you visit amazon . com .
i have built a career on the back of disorganized data . while one might assume i am but a humble satirical tech columnist , in another life i ' m a data analyst . my specialty has been working with small to medium sized companies and getting their data reporting on track to actually help the business . many companies experience growth without the tools in place to keep the junk drawer clean . this isn ' t a digital resume , i have a point . back in my day we didn ' t have deep learning artificial intelligence to help organize data . thanks to companies like skymind , that ' s exactly what we have now at the enterprise level .
whether it ' s google ' s headline - grabbing deepmind alphago victory , or apple ' s weaving of
using deep neural network technology
into ios 10 , deep learning and artificial intelligence are all the rage these days , promising to take applications to new heights in how they interact with us mere mortals . to go deeper ( yes , i went there ) on the subject , i reached out to the team at the deep learning - focused company skymind , creators of deep learning for java ( dl4j ) , and authors of the recently released o ' reilly book deep learning : a practitioner ' s approach , josh patterson and adam gibson . . .
the technology has so much promise , it has sparked a kind of arms race among the giants of tech . google and facebook recently hired the two academics who originally laid out the concepts behind deep learning , and earlier this month , chinese search giant baidu followed suit when it snapped up another academic at the heart of the movement . but adam gibson , an independent software engineer based in san francisco , doesn ' t want this new technology locked inside the biggest names on the net . he believes deep learning techniques should be available to any website , company , or developer interested in using them . and that ' s why he ' s launching a new startup called skymind .
with regards to deep learning , we realized last year that javacpp had the characteristics of something that was in demand especially in that field , that is to say an easy way to access native libraries from an efficient platform like java : java meets caffe , deep learning in perspective . since then , samuel has switched jobs and now works for skymind , integrating javacpp , the javacpp presets , and javacv into nd4j and deeplearning4j , as well as pursuing other avenues , such as maintaining not only bindings for caffe and cudnn , but also for mxnet and tensorflow , among others . many thanks to adam gibson and chris nicholson for their trust ! i am sure we will achieve great things together .
19 . urltoken help @ urltoken 19 case study : orange sv orange is working with skymind to prevent subscriber identity module box ( simbox ) fraud on its mobile network . using an artificial neural network ( ann ) called an autoencoder , orange silicon valley analyzes call detail records ( cdrs ) to find patterns that identify fraud . the ann also predicts the likelihood that an instance is fraudulent . where a static rule system flags cases only as likely fraud or not , the ann enables orange’s analysts to prioritize high probability cases of sim box fraud . “the problem is that fraud moves so quickly that it has been difficult for orange’s static algorithms to detect it , ” told by georges nahon , ceo of orange silicon valley
skymind is the company behind deeplearning4j , if you ' ve been keeping up on your enterprise - level software . deeplearning4j is a distributed deep learning library written for java and scala . this library integrates with existing hadoop and spark frameworks . basically , deeplearning4j is slapped into existing large databases and then it does my job for me . at least , part of it . it searches for patterns in unstructured data ( which a lot of data tends to be these days , especially as we move forward with data collection ) in order to make connections for streamlined analysis . i know , sexy right ? from an analytical perspective and having seen databases with over 16 , 000 un - linked tables in my career , it ' s enough to make my analytical pants sweat .
deeplearning on apachespark with deeplearning4j - java user group basel 10 . 1 . 17
chris nicholson , the company’s co - founder and ceo , decided to start the company after he noticed the steady stream of deep - learning researchers leaving the halls of academia for the six - and seven - figure salaries of large tech companies . with human capital becoming a finite resource , the challenge quickly became about helping companies leverage existing resources to play in the world of deep learning .
eighty percent of the world’s programmers are versed in java programming . nicholson , and his co - founder adam gibson , began to question whether it would be possible to build a library that would let those developers put their skills to work on ai challenges . this idea became deeplearning4j , and it remains the core of
nicholson describes his company as the red hat of deep - learning . red hat , a company that produces open - source software for the enterprise community , has grown to become an over $ 14 billion company .
for startups that produce software for the fortune 100 , the pressure to create in open - source has never been higher . not only does open - source allow companies to stay competitive , it allows the startups producing the technologies to hire the best engineers .
other investors in the party round include muse’s matthew bellamy , hemi ventures , jpush’s chris lo , wei guo , rising tide fund , ullas naik’s streamlined ventures , soma capital , lookout’s kevin mahaffey , gmo venture partners , fundersclub , s2 capital , former head of google search amit singhal and google news creator krishna bharat .
tl ; dr : deep learning startups are in vogue , but that doesn’t mean fundraising is easy . here are the pitfalls startups should avoid to get funded and build a business .
this how - to is for founders and technologists who know something about ai and are currently seeking out their very first investment .
i’m going to generalize a little bit about vcs and the deep learning landscape to keep it readable .
advances in deep learning have made ai hot again , and that heat has launched a lot of startups , investments , and headlines in the last couple years .
but a quick warning to machine - learning grad students : you’re not going to raise on an algorithm . the marginal improvement you made in the basement lab , and which you’re planning to hide from the world , is simply not enough .
vicarious is probably the only ai startup that’s really raised a lot of money on their secret sauce . but the real advances in deep learning are happening now in the public domain , accelerated by a slew of papers shared among major universities and corporate research labs .
it’s going to be hard for you to compete with a community of thousands of grad students and researchers backed by massive corporate gpu clusters , testing their ideas and iterating faster than you can imagine .
the algorithm fallacy is a special case of a more widespread mistake made in silicon valley . technologists admire machines that run faster , do more , and break some record to become superlative . a billion row join ! in under 3 nanoseconds ! they build solutions in search of a problem .
but a lot of the time , those superlative solutions leave potential customers cold . so forget about the bright new algorithm and remember you just need to be good at two things :
in other words , you have to make the algorithm useful in a new way , and only users can tell you if it is .
the world hasn’t caught up to last year’s ai yet , let alone the research we don’t even know about yet . the harder nut to crack is not better ai , but how you will sell the ai that works now . how will you change the world’s behavior so that it drops whatever it’s doing and adopts what you’ve made ? this is not a technological problem ; it’s a sales problem . and when you talk about sales , you talk about human relationships : listening , learning , and persuading .
good investors know this , and they are going to ask you : why should the world care ? how will you sell this thing you’ve made ? what’s your go - to - market ? and many more pesky questions like that .
the first 10 , 000 pitches are the hardest . convincing other people to shower you with their money gets easier after that . that is , you’re going to pitch a lot of investors , and almost all of them are going to say no . please don’t feel bitter . don’t conclude that life is unfair . saying no is their job . vcs , like hiring managers , mostly reject . they need to learn about a lot of companies to find a couple they like .
they also have much more time than you . vc time is measured in years and tied to the lifecycle of their funds ; early - stage startup time is months or weeks . that means they won’t feel your urgency , and they may say silly things like “let’s circle back early next year” when you’re staring down the barrel of next month’s rent .
but you only need one good investor to say yes . after that , others will follow because they trust the signal from the first . so your job is to get through the no to arrive at the yes . don’t tell yourself that you’re wasting precious time . when actors rehearse before their debut , they’re not wasting time . they’re getting better . pitches are just rehearsals . their purpose is to make you better for when your big day comes .
one of the reasons we managed to raise a large seed at the end of y combinator is because we had pitching down . not every startup is as lucky . our secret weapon was a desperate year knocking on doors .
investors come in all stripes and with all sorts of experience . some investors will understand ai and the industry you’re tackling , and others won’t . the two things that all investors understand , regardless of expertise , are traction and social proof . traction is how many users or customers you have , and social proof is how many important players are backing you .
so how do you get traction and social proof ? to get users , you need a product , to get a product , you need funding , and to get funding , you need users . i’m sure you can appreciate the catch - 22 implied in that reasoning . the typical workaround is a bootstrapping marathon of many nights and weekends alongside co - founders who are smart enough to build the tech and dumb enough to accept the risk for very little pay .
just because an investor isn’t an expert on ai doesn’t mean you can get hand - wavy about it . non - experts will have you vetted by people who are smarter than you , me , or them , and the person vetting you will feel a righteous anger if you can’t back up your claims , and your potential investor will hear about it .
so be honest and know your shit . if you have a vision to add ai to your product down the road , be very clear about who you will need to hire , what they will do , and when that moment of adding ai will actually happen .
if you are ready to implement ai now , be ready to name your algorithm and compare it to others to explain your choice . there are usually tradeoffs . for instance , you might accept lower accuracy for more interpretability .
platforms . they’re powerful but rare . if you can build the platform , you control the api , and you have the potential to become the foundation of an enormous ecosystem . that’s what we did , and it worked . but the moment for new platforms in deep learning is passing quickly because network effects are in force . the leading platforms are established .
products . now is the time to build products that are infused invisibly with ai . to your customers , the invisible ai won’t matter , because all they want is the experience your technology you can give them . either you classify photos correctly or you don’t . but investors care a lot about these ai - infused products because they have an edge over the dumb objects we have wrestled with for millennia . this is the edge where new winners are established and old victors are felled .
data . investors will want to know about your data . how will you get the data ? what kind will it be ? is it proprietary ? is it sufficient ? whether your data gives you an edge or not , you should have a plan for how to gather , move , and store it , just like every business building an ai solution . if you can’t answer these questions , you’ll look unprepared .
some people raise on pedigree . they get funded half way through their stanford ph . d . , or immediately after leaving google’s machine learning team , and more power to them . if you don’t have pedigree , you need a product with traction . if you don’t have a product , you need a personality that makes your idea compelling . if you can’t even raise on personality , all you’ve got left is persistence . persistence is what we raised on , and it has come in useful in other ways since the round .
disclosure : when y combinator comes up , it’s worth noting that referly , which later became mattermark , was a y combinator company . as always , the editorial team at mattermark is independent .
adam gibson ( right ) teaches deep learning techniques at the zipfian academy in san francisco .
at google , it helps drive the voice recognition service that lets you search the web merely by talking into your android smartphone . at microsoft , it underpins the new skype translation tool that lets you instantly communicate with people who speak another language . and at facebook , a newly assembled team of engineers is exploring how it might be used to recognize faces in online photos . it ' s called deep learning , and it seeks to remake computing by more closely mimicking the way the human brain processes information , giving machines more power to
learn
as time goes on .
> ' we want to give people machine learning without them having to hire a data scientist . '
we want to give people machine learning without them having to hire a data scientist ,
says gibson , 24 , a college dropout who has taught himself the vagaries of deep learning from public academic papers and has served as a kind of machine learning consultant for various companies while teaching courses on the subject through an outfit called the zipfian academy .
we ' re trying to clone what google does ,
says patterson . and though the project is still in the early stages , gibson says the code is already capable of bringing deep learning techniques to live web services .
we ' re handling production - level systems ,
he says , while declining to name which companies are using it .
at the very least , we ' re able to reproduce the results that the academic papers are producing .
there are other ways of using deep learning . the academic community that founded the movement offers its own open source software tools written in the python programming language , and these serve as the basis for ersatz , a service that lets you tap deep learning algorithms via the internet . but with his open source project , known as deeplearning4j , gibson has bigger ambitions . unlike the academic tools that are already available , his software is built with the java programming language–thus the
4j
–and that means it can run atop hadoop , the massive number crunching system that has become a staple inside many of the world ' s online operations .
based on software designed at google , hadoop is a way of storing and processing enormous amounts of data across hundreds of ordinary computer servers , and this sort of distributed computing power is what deep learning requires .
hadoop is becoming the system of record for all data ,
patterson says .
we need to move deep learning to the data that already lives in hadoop .
an existing open source project , known as mahout , already provides a way of running artificial intelligence algorithms atop hadoop . urltoken uses mahout to drive product recommendations on its popular retail site . but deep learning is something very different from this older breed of ai . according to those who have used it , deep learning comes closer to creating
neural networks
that mirror the way the brain operates . whereas older ai systems must be
taught
to preform tasks by human engineers in many cases , deep learning algorithms are better at learning and adapting on their own .
> ' there are more java programmers out there , but there are probably more machine learning programmers who use python or other languages . '
david sullivan , who oversees ersatz , the online deep - learning service , calls gibson ' s project
interesting ,
and he calls gibson
a very sharp dude .
but he questions whether the move to java is really that important .
there are more java programmers out there , but there are probably more machine learning programmers who use python or other languages ,
he says .
gibson and patterson also argue that java can eventually provide deep learning calculations at much faster speeds . but yoshua bengio , a university of montreal professor who sits at the heart of the deep learning academic community , says this isn ' t necessarily the case .
there are other languages which seem better suited for statistical and numerical computation , not just because of the language itself but because of the community around and the set of tools that have been developed around it ,
he explains .
but bengio still welcomes gibson ' s project–
i ' m a big advocate of diversity ,
he says–and if deep learning is to reach a much wider audience , it must certainly find a place in the world of java . the language has become one of the primary ways of building big - time web services .
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github is home to over 28 million developers working together to host and review code , manage projects , and build software together .
if nothing happens , download the github extension for visual studio and try again .
* offer the apache license , version 2 . 0 , as a new choice of license , …
update version in the ` pom . xml ` file to 1 . 4 . 2 - snapshot
javacpp provides efficient access to native c + + inside java , not unlike the way some c / c + + compilers interact with assembly language . no need to invent new languages such as with swig , sip , c + + / cli , cython , or rpython as required by cppyy . instead , it exploits the syntactic and semantic similarities between java and c + + . under the hood , it uses jni , so it works with all implementations of java se , in addition to android , avian , and robovm ( instructions ) .
as a case in point , we have already used it to produce complete interfaces to opencv , ffmpeg , libdc1394 , pgr flycapture , openkinect , videoinput , artoolkitplus , and others as part of the javacpp presets subproject , also demonstrating early parsing capabilities of c / c + + header files that show promising and useful results .
please feel free to ask questions on the mailing list if you encounter any problems with the software ! i am sure it is far from perfect . . .
to produce binary files for android 4 . 0 or newer , you will also have to install :
finally , because we are dealing with native code , bugs can easily crash the virtual machine . luckily , the hotspot vm provides some tools to help us debug under those circumstances :
to implement native methods , javacpp generates appropriate code for jni , and passes it to the c + + compiler to build a native library . at no point do we need to get our hands dirty with jni , makefiles , or other native tools . the important thing to realize here is that , while we do all customization inside the java language using annotations , javacpp produces code that has zero overhead compared to manually coded jni functions ( verify the generated . cpp files to convince yourself ) . moreover , at runtime , the loader . load ( ) method automatically loads the native libraries from java resources , which were placed in the right directory by the building process . they can even be archived in a jar file , it changes nothing . users simply do not need to figure out how to make the system load the files . these characteristics make javacpp suitable for either
in addition to the few examples provided below , to learn more about how to use the features of this tool , please refer to the source code of the javacpp presets . for more information about the api itself , one may refer to the documentation generated by javadoc .
as a matter of course , this all works with the scala language as well , but to make the process even smoother , it should not be too hard to add support for
native properties
, such that declarations like @ native var could generate native getter and setter methods . . .