I get comments from people who read She Divorced Me
Tags: Trump, Games, Babies, Self, Health

More importantly, devices like Jetson open the floodgates for a new generation to play around with their A.I.-powered ideas at home, building their own voice assistants or self-flying drones without requiring an internet connection or an expensive investment in high-end hardware.

For example, if we’re testing a workout app, then we may want to ask questions like, “do you currently use any workout apps?” or “do you exercise regularly?” If the tester answers no to these questions, they wouldn’t be a good fit and wouldn’t continue to our test.

The process of crunching this data on-device is referred to as “Edge” A.I., which means that the processing is done near the source of data. While this technology has been used in smartphones in recent years for things like processing “Hey Siri” on the iPhone and Google’s Call Screen technology, it hasn’t been as common in other smart devices because it’s cheaper to just fire that data off to the cloud than to include an expensive custom chip to process information locally. That comes at the cost of your privacy — and a reliance on the company keeping those servers online so your device continues to function.I’m sure she agreed to ordering a pizza a bunch of times when she probably didn’t want to. I bet she even went to the grocery store a bunch of times just to accommodate whatever dinner idea I’d suggested.I was certainly imperfect, because I don’t default naturally to Person Who Thinks About Future Meals, but I improved quite a bit through the years at being helpful with dinner. I’m a competent cook who seriously considered culinary school before choosing a writing career. My wife never seemed to figure it out, but I totally cared about her opinion of me. Me getting better at meal planning, volunteering for the grocery buying, and cooking most of the time seemed like a way for me to contribute positively and be a “good husband.”

My son doesn’t know enough to know WHY it was funny, and I wasn’t going to get into it with him right then, but I did try to teach him something important that he clearly hadn’t learned yet.

If I can move past my wife’s crazy and irrational responses to little things that don’t matter, why can’t she chill about silly stuff like me not wanting to plan for tomorrow’s dinner, or me leaving my drinking glass next to the sink to use again later?

Many programmers believe that the use of higher order integration algorithms, combined with a large number of integration interval divisions, is useful (and sometimes necessary) to achieve good accuracy. In this article we show that this is not always true.

“I’m upset because I’m your dad, and I’ve asked you to do a few easy and simple things this morning, and then you didn’t do them. You chose to not help me. Not only did you not help me, you kind of sabotaged my efforts to get us ready so you can get to school on time. Towels and school shoes and you making noise are NOT important. But you obeying your mom and dad IS important. I’m not upset about dumb stuff. I’m upset because you’re not listening to your parents.”

In this step, we need to define the different scenarios that a tester would go through to help us uncover insights. For example, a scenario might be testing out the app as a new user without an onboarding experience, exploring features on their own. Another scenario might be testing an onboarding experience that ushers new users through the app and explains features.

Like the Raspberry Pi leveled the playing field for hobbyists and students a few short years ago, Nvidia’s new Jetson computer will usher in a new wave of A.I.-based projects that anyone can build for themselves simply because it’s so accessible — and some of those ideas might turn into the next big thing.

def rectangles(f, a, b, tol):

sum = 0

n = 1

dx = (b — a)/n

while abs(sum — original_value) > tol:

sum = 0

dx = (b — a)/n

x = a + 0.5*dx

for i in range(0, n):

sum += f(x)

x += dx

sum *= dx

n += 1

return sum, n-1

“But I’m not really upset because you did a less-than-stellar job hanging up your towel, or because you’re making weird mouth noises for no apparent reason, or because you don’t have your shoes on yet.

https://katelynmalia11.medium.com/agility-a-superpower-for-human-resource-professionals-66eb6a1d853f

https://liamhile25.medium.com/the-truth-on-trumps-recent-firing-of-my-wife-d43c7ca9a606

https://renehebbers.medium.com/dear-obama-defund-the-police-is-not-a-cute-catchphrase-56a811f1bd3c

https://renehebbers.medium.com/04-december-2020-googles-genius-49-mo-course-is-about-to-replace-college-degrees-b5ab0915017

https://kellerwernners.medium.com/evolving-the-facebook-news-feed-to-serve-you-better-d154af5a4c12

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Indeed, the article is correct in every detail, yet the conclusion to which it may lead may not be such. Let me start with the example provided in the Kazi’s article. Here the integral of 1/(1+x²) is computed within 0 and 1, finding the number n of steps in which the interval must be divided until the precision is of the order of 10⁻⁶. In the original example, n is increased by 15 each iteration; I just modified the program such that n is increased by 1. Moreover, I stop iterating when the remainder (i.e., the difference between the actual value of the integral and its numerical estimation) is below the given tolerance. Using the trapezoidal rule, I obtain the given precision dividing the [0,1] interval in n=204 parts. Using the rectangles rule, described in Kazi’s article, too, the number of divisions needed to achieve the given precision is n=145. What? Wait…how can dividing the interval in less sub-intervals, and, moreover, using a lower order integration rule, lead to a result consistent with a higher order method with more iterations?

Dependence on the cloud gives companies like Ring, which is owned by Amazon, an advantage over any new entrants to the space because it has access to practically unlimited resources from its parent company to build A.I.-enabled devices for free. Cheap A.I.-enabled computers level the playing field: Anyone can now play with fully fledged A.I. for a onetime cost of $59 and build devices that compete with the industry’s giants without paying endless cash to the cloud platforms to get access to the smarts they require.

I don’t value planning future meals unless I’m going to be cooking for other people, like friends or a date. Otherwise, I just don’t think it matters. There are many important things in life. Many. Planning meals for three days from now doesn’t crack the high-priority section of my list.

Gather final thoughts and ask any final questions to tie all the scenarios together. Which option did they prefer? How would you rate each experience on a scale of 1–5? Be sure to show visuals again to remind testers of each scenario.

“Listen, kiddo. I understand why you think I’m getting mad about dumb stuff that doesn’t matter. I really do,” I said. “I’m giving you a hard time about how quickly you’re putting on shoes or eating. I’m angry because you’re making silly noises, or not hanging up your bath towels in the way I’ve asked you to. I get why that seems stupid. Those are all things that don’t seem very important.

My wife seemed to get irrationally upset about this lack of concern for tomorrow’s meal. In my mind, she was “overreacting.” In my mind, she was blowing things out of proportion. This was another example of my wife having mixed-up priorities in our marriage.

In fact, there is a trick. The trick consists of the fact that I used a special version of the rectangle rule, known as the midpoint rule. In this case, the height of the rectangle, used to approximate the function, is not f(a), nor f(b), but f((a+b)/2). You will have no difficulty in showing that the area of a rectangle whose height is the average of the lengths of the bases of a trapezoid is equivalent to the area of the latter. The two methods are, in fact, completely equivalent. The difference in n is mainly due to the specific properties of f(x) (in particular, to the fact that f(x) is monotonically decreasing).

Browsing Cantor’s Paradise articles, one of my favourite publications on Medium, I found an article written by Kazi Abu Rousan, in which the use of the trapezoidal rule for numerical integration is advocated (I am attracted by articles about physics, numerical methods and programming, as well as about the interplay between art and science). It is a well written article, in fact (as usual, on this publication) and I appreciate very much the animated figures that clearly illustrate the method. Bravo!

Like the Raspberry Pi leveled the playing field for hobbyists and students a few short years ago, Nvidia’s new Jetson computer will usher in a new wave of A.I.-based projects that anyone can build for themselves simply because it’s so accessible — and some of those ideas might turn into the next big thing.