omniomni/omni-engineering huggingface dataset:
Sanja Fidler. Sanja Fidler is an associate professor at the University of Toronto and Director of AI at Nvidia. She is also a co-founder of the Vector Institute, University of Toronto and Canada CIFAR AI Chair. Her research is in the areas of computer vision and artificial intelligence.

Education
Fidler attended the University of Ljubljana, where she received a BSc in Applied Mathematics in 2002 and a Ph.D. in Computer Science in 2010.  Following that she was a visiting scientist at UC Berkeley and a postdoctoral scholar at the University of Toronto.

Career
Fidler's major research interests include 2D and 3D object detection, object segmentation and image labeling, and 3D scene understanding. Several of her works have received popular press coverage, including a pop-song generator and an algorithm to suggest fashion improvements.

Prior to joining the University of Toronto, she was an assistant professor at the Toyota Technological Institute at Chicago (TTIC). In 2018, she was appointed a Director of AI at Nvidia, having been hired by Jensen Huang to lead its Toronto research lab.

Awards
Among Fidler's awards are the Connaught New Researcher Award, an NVIDIA Pioneers of AI Award, Amazon Academic Research Award, and Facebook Faculty Award.  She served as Program Chair of ICCV 2021. She has also served as Area Chair of several machine learning and vision conferences including NeurIPS, ICLR, CVPR, ICCV, and ECCV.

References

Canadian women academics
Academic staff of the University of Toronto
Computer vision researchers
Year of birth missing (living people)
Living people
Nvidia people
Daya Shankar (admiral). Vice Admiral Daya Shankar PVSM, DSC (2 January 1912 – 18 November 1993) was an Indian Navy admiral, naval engineer and the first Indian Armed Forces officer to hold the appointment of Chief of Materiel and of Controller General Defence Production.

Early career
Among the first Indians to be selected for the Royal Indian Marine in 1930, Shankar was appointed an engineer sub-lieutenant (on probation) in the Royal Indian Navy on 23 April 1935, and was confirmed in his appointment on 23 October 1936. He was promoted to engineer lieutenant on 23 April 1938.

World War II
On 2 August 1939, Shankar was assigned to HMIS Dalhousie, the RIN depot ship and training barracks based at Bombay, as well as to the P-class sloop HMIS Pathan. He was assigned to the sloop HMIS Lawrence on 21 November 1940. Among the other junior officers then assigned to her was the future admiral and Indian Navy Chief of the Naval Staff Sourendra Nath Kohli. 

On 10 March 1942, Shankar was awarded the Distinguished Service Cross (DSC) for "courage, enterprise and devotion to duty in operations in the Persian Gulf." He was one of only three Indian officers to be so decorated during the war. On 3 December, he was assigned to the sloop HMIS Hindustan, and was promoted acting engineer lieutenant-commander on 30 September 1943. He was promoted substantive engineer lieutenant-commander on 23 April 1946.

Post-Independence
Following Indian independence in 1947, Shankar served at Naval Headquarters and was promoted engineer commander (acting engineer captain) on 31 December 1948. In 1950, he became the second Indian officer to command INS Shivaji, the mechanical training establishment of the Indian Navy, with promotion to substantive engineer captain on 30 June 1951.

He was subsequently appointed the Industrial Manager at Naval Dockyard (Bombay), and in July 1954 became the first Indian officer to be appointed Chief of Materiel at Naval HQ. On 24 September 1956, the post of Chief of Material was upgraded to the status of a commodore (2nd class), making Shankar the first Indian naval engineer officer to be elevated to this rank.

Flag rank
Shankar was promoted to Engineer Rear Admiral on 28 December 1959, becoming the first naval engineering officer to attain flag rank, and was appointed Controller-General Ordnance Factories. In 1960, he was further appointed Controller-General Defence Production, and held the appointment until his retirement on 20 August 1964.

Later life
Retiring in Delhi, Shankar was conferred the honorary rank of Vice Admiral on 20 December 1985. He died at Delhi in the morning of 18 November 1993, and was cremated with full military honours the following afternoon. He was survived by his daughter and two sons, one an air commodore in the Indian Air Force.

References

1912 births
1993 deaths
Indian Navy vice admirals
Indian sailors
Indian military personnel of World War II
Royal Indian Navy officers
Recipients of the Param Vishisht Seva Medal
Recipients of the Distinguished Service Cross (United Kingdom)
Chiefs of Materiel (India)
Indian recipients of the Distinguished Service Cross (United Kingdom)
Robot in the Family. Robot in the Family (also known as Golddigger) is a 1994 American comedy film produced and directed by Mark Richardson and Jack Shaoul. It was written by Shaoul and stars Joe Pantoliano, John Rhys-Davies, Danny Gerard, and Amy Wright.

Cast
 Joe Pantoliano as Jack Shamir
 John Rhys-Davies as Eli Taki / Rashmud / Sashri
 Danny Gerard as Alex Shamir
 Amy Wright as Kristina Shamir
 Howard Scott Nicoll, Derrick McQueen, Patrick Shanley, and Ari Taub as Golddigger
 Don Peoples as the voice of Golddigger
 Peter Maloney as Dr. Clayhand
 Matthew Locricchio as Clyde Baldino
 David Shuman as Bono Baldino
 Jack Shaoul as Isaac Shamir / Blind Man
 Tom Signorelli as Detective Goober
 Barton Heyman as Mr. Marshall
 Jane Connell as Mrs. Miller

Release
Robot in the Family was distributed on home video in March 1994.

Reception
In their review of Robot in the Family, critics Mick Martin and Marsha Porter wrote: "This cheap, sophomoric comedy about an ambulatory robot is one of the worst films we've ever seen".

References

External links

1994 comedy films
1994 films
1994 science fiction films
American comedy films
American robot films
1990s English-language films
1990s American films
English-language science fiction films
Fujitsu A64FX. The A64FX is a 64-bit ARM architecture microprocessor designed by Fujitsu. The processor is replacing the SPARC64 V as Fujitsu's processor for supercomputer applications. It powers the Fugaku supercomputer, ranked in the TOP500 as the fastest supercomputer in the world from June 2020, until falling to second place behind Frontier in June 2022.

Design
Fujitsu collaborated with ARM to develop the processor; it is the first processor to use the ARMv8.2-A Scalable Vector Extension SIMD instruction set with 512-bit vector implementation.

It has "Four-operand FMA with Prefix Instruction", i.e. MOVPRFX instruction followed by 3-operand FMA operation (ARM, like RISC in general, is a 3-operand machine, with no space for four operands), which get packed into a single operation in the pipeline. For the processor the designer claim ">90% execution efficiency in (D|S|H)GEMM and INT16/8 dot product".

The processor uses 32 gigabytes of HBM2 memory with a bandwidth of 1 TB per second. The processor contains 16 PCI Express generation 3 lanes to connect to accelerators (hypothetical e.g. GPUs and FPGAs). The processor also integrates a TofuD fabric controller with 10 ports implemented as 20 lanes of high-speed 28 Gbit/s to connect multiple nodes in a cluster. The reported transistor count is about 8.8 billion.

Each A64FX processor has four NUMA nodes, with each NUMA node having 12 compute cores, for a total of 48 cores per processor. Each NUMA node has its own level 2 cache, HBM2 memory, and assistant cores for non-computational purposes.

Fujitsu intends to produce lower specification machines with reduced assistant cores. Reliability, availability and serviceability (RAS) capabilities are claimed, i.e. ~128,400 error checkers in total.

In June 2020 the Fugaku supercomputer using this processor reached 442 petaFLOPS and became the fastest supercomputer in the world.

Implementations
Fujitsu designed the A64FX for the Fugaku. As of June and November 2020, the Fugaku is the fastest supercomputer in the world by TOP500 rankings. Fujitsu intends to sell smaller machines with A64FX processors. Anandtech reported in June 2020 that the cost of a PRIMEHPC FX700 server, with two A64FX nodes, was  (c. ).

Cray is developing supercomputers using the A64FX. The  supercomputer is being built for a consortium in the United Kingdom, led by the University of Bristol and also including the Met Office, using the Fujitsu processors. It is an upgrade to the Isambard supercomputer which was built with the Marvell ThunderX2, another ARM architecture microprocessor.

Ookami is an open testbed system supported by NSF run by Stony Brook University and the University at Buffalo providing researchers access to A64FX processors.

See also
 Comparison of ARMv8-A cores
 SPARC64 V
 ThunderX2 another ARM architecture high performance computing microprocessor
 Huawei Kunpeng 920 also an ARM high-performance microprocessor, but developed by the Huawei-owned HiSilicon. Only available in China.

References

Computer-related introductions in 2019
ARM processors
Fujitsu microprocessors
64-bit microprocessors
Sihem Amer-Yahia. Sihem Amer-Yahia is an Algerian-French-American computer scientist. She is a CNRS Research Director at the Laboratoire d’Informatique de Grenoble. She leads the SLIDE research team. Sihem Amer-Yahia works on data management, declarative languages and query processing algorithms. Her publication topics include crowdsourcing, computational complexity, data analysis, data handling, data visualisation, information science, and addresses new data management problems in emerging internet and big data applications.

Early life and education 
Amer-Yahia received her Ph.D. in CS from Paris-Orsay and INRIA in 1999, and her Diplôme d’Ingénieur from INI, Algeria.

Career 
Before joining CNRS, Amer-Yahia served as a principal scientist at QCRI, senior scientist at Yahoo! Research and member of technical staff at AT&T Labs.

Amer-Yahia served on several journal boards including the SIGMOD Executive Committee. She is one of the trustees emeriti of the VLDB Endowment.

Amer-Yahia also served on the EDBT (Extending Database Technology) board, and was the program committee chair of the EDBT conference in 2014. She is the editor-in-chief of the VLDB Journal for Europe and Africa.

She was an associate editor of ACM TODS, her term ending in 2017, and she has been an area editor for the Information Systems Journal.

Awards and honours 

In 2024, Amer-Yahia received the VLDB VLDB Endowment Women in Database Research Award.

In 2024, Amer-Yahia received the ACM SIGMOD ACM SIGMOD Contributions Award for her contributions towards diversity, equity, and inclusion in the professional database research community.

In 2024, Amer-Yahia received the IEEE TCDE Impact Award.

In 2020, Amer-Yahia received the CNRS Silver Medal.

In 2017, Amer-Yahia was recognised as an ACM distinguished member.

References

External links
 

Year of birth missing (living people)
Living people
Algerian computer scientists
Algerian emigrants to France
21st-century Algerian women scientists
21st-century Algerian scientists
21st-century French women scientists
Yahoo! employees
AT&T people
French National Centre for Scientific Research scientists
Women computer scientists
Research directors of the French National Centre for Scientific Research
Julia Schnabel. Julia A. Schnabel is Professor in Computational Imaging and AI in Medicine (TUM Liesel Beckmann Distinguished Professorship) at Technische Universität München, Director of the Institute of Machine Learning in Biomedical Imaging at Helmholtz Zentrum München (Helmholtz Distinguished Professorship), and Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences at King's College London. Previously, she was Associate Professor in Engineering Science (Medical Imaging) at University of Oxford where she became Full Professor of Engineering Science in 2014.

Education 
Schnabel completed her Diplom (MSc equiv.) in computer science at Technische Universität Berlin in 1993, and her PhD in computer science at University College London in 1998. She held post-doctoral positions at University College London, King's College London, and at the University Medical Center Utrecht.

Research 
Schnabel's research interests are in machine learning for biomedical imaging, in particular nonlinear motion modelling, multi-modality, dynamic and quantitative imaging with applications in cancer, neuroimaging, cardiovascular diseases, and fetal health.

Selected awards and honours 
Schnabel is an elected member of the MICCAI Society Board (2017–21) and a Technical Representative in the Administrative Committee of the IEEE Engineering in Medicine and Biology Society (2017–19, re-elected 2020-22). She has been a member of the Scientific board of the French Institute for Research in Computer Science and Automation (INRIA) from 2017 to 2019. Furthermore, she was a member of the EPSRC Healthcare Technologies Strategic Advisory Team.
In 2018, Schnabel was awarded a MICCAI Fellowship which is awarded annually to "a small number of senior members of the society in recognition of substantial scientific
contributions to the MICCAI research field and service to the MICCAI community". She was elected as Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS) for the ELLIS Health programme and as Fellow of the IEEE in 2021 "For contributions to medical image computing".

References 

Living people
Year of birth missing (living people)
British women academics
German women academics
Computer vision researchers
Academics of University College London
Government Polytechnic, Gaya. Government Polytechnic, Gaya is a polytechnic institute in Bihar, India. It is administered by Department of Science and Technology, Bihar and is funded by Government of Bihar. The institute is affiliated with State Board of Technical Education, Bihar which conducts the semester exams and issues the certificates.

Courses 
The Institute offers six-semester (three years) diploma programmes in engineering.

Admission 
Admission to the first semester (first year) diploma programme in the institute is done through Diploma Certificate Entrance Competitive Examination (DCECE) conducted by Bihar Combined Entrance Competitive Examination Board. The institute also offers lateral entry admissions to the third semester (second year) which is done through DECE (LE) conducted by Bihar Combined Entrance Competitive Examination Board.

References

External links 

 
 
 

Polytechnic institutes in Bihar
Educational institutions in India
1960 establishments in Bihar
Educational institutions established in 1960
Jay Gregory Dash. J. Gregory Dash (1923–2010) was a physics professor, known for his research on superfluidity, adsorption of gases on smooth surfaces, surface melting, and films on solid surfaces.

Biography
Dash graduated with B.S. from City College of New York (CUNY) in 1944. During WW II he trained as a radar technician in the Pacific Fleet. He graduated from Columbia University with A.M in 1949 and Ph.D. in 1951. From 1951 to 1960 he was a staff member of Los Alamos National Laboratory. He was a Guggenheim Fellow for the academic year 1957–1958, which he spent at the University of Cambridge. In the physics department of University of Washington, Dash was an acting associate professor from 1960 to 1961, an associate professor from 1962 to 1963, and a full professor from 1963 to 2003, when he retired as professor emeritus. From 1961 to 1964 he was a consultant for the Boeing Company. He was a visiting professor at the Technion for the academic year 1974–1975 and an exchange professor at Aix-Marseille Université for the academic year 1977–1978. At the Advanced Study Institute, North Atlantic Treaty Organization (NATO), he was a director in 1985 and again in 1997. After retiring as professor emeritus in 2003, he, along with Ernest Mark Henley (1924–2017), continued to teach until 2009 at the University of Washington Transition School for gifted high school students.

At Los Alamos, Dash participated in pioneering measurements of the heat of mixing liquid 3He with liquid 4He.

In June 1945 Dash married Joan Geiger. Upon his death, he was survived by his widow, three children, and two grandchildren.

Selected publications

Articles

 1975

Books
 (pbk reprint of 1975 original edition)
 (originally published in 1980)
 (originally published in 1998)

References

1923 births
2010 deaths
20th-century American physicists
21st-century American physicists
City College of New York alumni
Columbia University alumni
University of Washington faculty
Los Alamos National Laboratory personnel
Stratingh Institute for Chemistry. The Stratingh Institute for Chemistry is a research institute of the Faculty of Science and Engineering of the University of Groningen (The Netherlands). It is named after Sibrandus Stratingh, who is known for being the inventor of the first battery powered electric car. As of 2020, about 150 people (from over 30 nationalities) are employed within the Stratingh Institute for Chemistry. The staff members include Ben Feringa, who won the 2016 Nobel Prize in Chemistry "for the design and synthesis of molecular machines", Nathalie Katsonis and Sijbren Otto.
The institute is currently located on the Zernike Campus in Groningen, in the Feringa Building and Linnaeusborg.

Research topics
The research carried out within the institute falls within the following research areas:

 chemistry of life: the study of biological phenomena and medicinally relevant problems from a molecular perspective. This comprises the chemical synthesis of complex natural products, the design and synthesis of small molecules to study and steer biochemical processes, and steps towards the creation of new life (mimicking abiogenesis).
 chemical conversion: the development and synthesis of new catalysts. This includes asymmetric catalysis and catalytic oxidation, designing (artificial) enzymes, the use of bio-based raw material and development of sustainable processes, and homogeneous catalysis methods using earth-abundant metals. 
 chemistry of materials: the development of molecular switches and motors, photovoltaics, functional polymers, molecular electronics, supramolecular materials, functional surfaces and synthetic membrane.

External links
 
 University of Groningen

References 

Research institutes in the Netherlands
Chemical research institutes
University of Groningen
Philadelphia & Reading Railroad Mule Bridge. The Philadelphia & Reading Railroad Mule Bridge is a bridge spanning the Schuylkill River at the foot of Shurs Lane in Philadelphia, Pennsylvania. The bridge is significant for being one of the oldest surviving wrought iron lattice truss bridges.

See also

List of bridges documented by the Historic American Engineering Record in Pennsylvania
List of crossings of the Schuylkill River

References

External links
 

Bridges in Philadelphia
Historic American Engineering Record in Philadelphia
CAST-32A. CAST-32A, Multi-core Processors is a position paper, by the Certification Authorities Software Team (CAST). It is not official guidance, but is considered informational by certification authorities such as the FAA and EASA. A key point is that Multi-core processor "interference can affect execution timing behavior, including worst case execution time (WCET)."

The original document was published in 2014 by an "international group of certification and regulatory authority representatives."  The current revision A was released in 2016. "The Federal Aviation Administration (FAA) and European Aviation Safety Agency (EASA) worked with industry to quantify a set of requirements and guidance that should be met to certify and use multi-core processors in civil aviation, described e.g. in the FAA CAST-32A Position Paper and the EASA Use of MULticore proCessORs in airborne Systems (MULCORS) research report." 
For applicants certifying under EASA, AMC 20-193 has now superseded CAST-32A since its release on 21 January 2022. It is expected that the FAA will release its Advisory Circular AC 20-193 guidance in 2023, which is expected to be almost identical to AMC 20-193.

One of the first mixed-criticality multicore avionics systems is expected to be certified sometime in 2020. The objectives of the standard are applicable to software on multicore processors, including the operating system. However, the nature of the underlying processor hardware must be examined in detail to identify potential interference channels due to inter-core contention for shared resources. Verification that multicore interference channels have been mitigated can be accomplished through the use of interference generators i.e. software tuned to create a heavy usage pattern on a shared resource.

Objectives
The paper presents ten objectives that must be met for Design Assurance Level (DAL) A or B. Six of the objectives apply for DAL C.  The paper does not apply for DAL D or E.

References

RTCA standards
Computer standards
Avionics
Safety engineering
Software requirements
DO-297. DO-297, Integrated Modular Avionics (IMA) Development Guidance and Certification Considerations is one of the primary document by which certification authorities such as the FAA and EASA approve Integrated Modular Avionics (IMA) systems for flight. The FAA Advisory Circular (AC) 20-170 refers to DO-297. 

Along with ARINC 653 and DO-248, the DO-297 standard guides "Safety of flight for
IMA systems" DO-297 provides specific guidance for the stakeholders, defining the following roles
 platform and module suppliers
 application suppliers
 IMA system
 integrator
 certification applicant
 maintenance organization
 certification authority.

The DO-297 standard formalizes the use of more powerful computing hardware to host multiple software functions of mixed safety-criticality. IMA produces benefits of reduced Size, Weight, and Power (SWaP) by integrating into a single computing platform software functions that were formerly on separate (federated) computing systems. The standard describes how safety is maintained through the isolation provided by a partitioning environment, ensuring that independent functions cannot adversely impact one another's behavior.

History 
The document was published by RTCA, Incorporated, in a joint effort with EUROCAE, completed in November 2005.  The lessons learned in certifying early approaches to IMA in commercial aircraft such as the Boeing 787 Dreamliner and the Airbus A380 helped inform the development of the standard.

References

Computer standards

Safety engineering

RTCA standards
Avionics
Command-Aire. The Command-Aire was an American aircraft manufacturer from the late 1920s and early 1930s based in Little Rock, Arkansas.

History
The company was founded on August 26, 1926 by Major J. Carroll Cone and W. F. Moody as the Arkansas Aircraft Corporation. Aircraft were built in the former Climber Motor Company Factory at 1823 East 17th Street in Little Rock, Arkansas. 
After a failed attempt by their first engineer to produce their design, they attempted to arrange the purchase of a production licence for the Heinkel HD 40, and when that fell through they hired a Heinkel engineer, Albert Vollmecke, who would be responsible for the rest of the company's designs. 
In September 1928, the company was purchased by Robert B. Snowden and the name was changed to Command-Aire. With rapidly declining sales due to the Great Depression, and with no acceptable offers for a merger, the company declared bankruptcy in 1931 and its remaining assets were sold off.

Aircraft

References

Citations

Bibliography

Aerospace companies of the United States
Defunct aircraft manufacturers of the United States
Companies based in Little Rock, Arkansas
Manufacturing companies established in 1926
Manufacturing companies disestablished in 1931
1926 establishments in Arkansas
Defunct manufacturing companies based in Arkansas