Oren Chervinsky February 1, at 1: As you are aware, a number of additional blogger sites picked up the story and continued with this important conversation, and I would like to thank you for bringing more light to this growing problem.
A common thread that I have observed is how people tend to underestimate how long new technologies will take to be adopted after proof of concept demonstrations.
This is precisely a realization of the early optimism about how things would be deployed and used did just not turn out to be. However, I do not think that I am a techno-pessimist. Rather, I think of myself as a techno-realist. In my view having ideas is easy.
Turning them into reality is hard. Turning them into being deployed at scale is even harder.
Sep 08, · Have you ever use cell phones while driving? Cell phones are used everywhere all the time. When I walk on the street, I can see half of the people texting and calling while driving and it’s very dangerous. There’s a lot of discussion if cell phones should be banned. Using cell phones while driving should be banned. As the open source movement reaches the two-decade milestone, thoughts turn to the movement's achievements and future goals. Archives and past articles from the Philadelphia Inquirer, Philadelphia Daily News, and attheheels.com
And in evaluating the likelihood of success at that I think it is possible to sort technology and technology deployment ideas into a spectrum running from relatively easier to very hard. But simply spouting off about this is rather easy to do as there is no responsibility for being right or wrong.
That applies not just to me, but to pundits ranging from physicists to entrepreneurs to academics, who are making wild predictions about AI and ML.
I am going to take this opportunity to make predictions myself, not just about the coming year, but rather the next thirty two years.
I am going to write them in this blog with explicit dates attached to them. Hence they are my dated predictions. And they will be here on this blog and copies that live on elsewhere in cyberspace for all to see.
I am going to take responsibility for what I say, and make it so that people can hold me to whether I turn out to be right or wrong. If I am unfortunate, some of my predictions will at some point seem rather dated!
So the furtherest out date I am going to consider is January 1st, I specify dates in three different ways: Now in reality precision on defining what I am predicting is almost impossible.
Nevertheless I will try.
I had an experience very recently that made me realize just how hard people will try, when challenged, to hold their preconceived notions about technologies and the cornucopia they will provide to humanity. I tweeted out the following rodneyabrooks: When humans next land on the Moon it will be with the help of many, many, Artificial Intelligence and Machine Learning systems.
My intent with this tweet was to say that although AI and ML are today very powerful and useful, it does not mean that they are the only way to do things, and it is worth remembering that.
One of the responses to this tweet, which itself was retweeted many, many times, was that Kalman filtering was used to track the spacecraft completely truethat Kalman filtering uses Bayesian updating completely trueand that therefore Kalman filtering is an instance of machine learning complete non sequitur and that therefore machine learning was used to get to the Moon a valid inference based on a non-sequitur, and completely wrong.
Kalman filtering uses multiple data points from a particular process to get a good estimate of what the data is really saying. It does not save anything for later to be used for a similar problem at some future time.For example, a while back, I met a single mother reader of mine in Pittsburgh I’ll refer to as W.
She was nearing 40 and had a pretty face and decent body, though she could stand to lose 20 pounds. Below is an essay on "Should Cars Should Be Banned?" from Anti Essays, your source for research papers, essays, and term paper examples/5(1).
Essay Cell Phones Should Be Banned. more than billion mobile-phone subscriptions worldwide, and for every one person who accesses the internet from a computer, two do so from a mobile device”(“Making the Case for Mobile Tech”). Out of the around 7 billion people in this world, 6 billion have some sort of access to a mobile phone.
An outline for my essay Paragraph 1: I. Thesis: Cell phones should be banned while driving Paragraph 2: Using cell phone would make drivers have less control of the vehicles, however some people are able to multitask without causing any danger%(2).
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