Thoughts From Your Humble Curators
A number of very interesting developments this past week:
- Google's TPU,
- The Vector Institute,
- Newly released cs224n 2017 videos,
- CNTK 2.0,
Last Saturday was April Fools Day, so we round up the best jokes and pranks about AI. Did you fall for any of them? Some of them, like OpenAI's spam detection are fairly sophisticated.
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Corrections on Issue #7
In the email edition of Issue 7, we erroneously reported that an autonomous vehicle was involved in a fatal accident. It turns out that there were no serious injuries resulted. We promptly corrected the web version and post correction notice at AIDL. We apologize for causing any misunderstanding.
April Fools' Jokes on AI and Deep Learning - 2017
It's almost a week after April Fools, have you fallen for any of the following pranks? Here are some of the best April Fools' jokes we gathered this year:
- Google Cheese Master - not that subtle......
- Google Wind - despite urban legends, weather control is still an unfeasible task in large scale.....
- Google Translate doesn't quite add an alien language In case you don't know, we haven't been contacted by alien yet; also zero-shot learning from Translate is really not that zero-shot.....
- Amazon Petlexa Amazon's Alexa haven't quite solved how to connect with canines and felines. So hasn't "rival" Google.
- Nvidia G-Assist Automatic gaming bot is feasible but probably not on a thumb drive at least. May be a K40 board.
- Google doesn't have a data center at Mars. To see through this one, you just need to know how much payload today's spacecraft can transport.
- And of course, DeepMind hadn't solved AGI yet. We are faaaaaaaaaaaaaaaaar far away from having an AGI.
The one which we felt confused about: OpenAI's result on spam detection, because the claim on using simulation to improve real-life training is possible. But the "future plan" on "phishing" and "adversarial spam" give it out. 🙂
(Photo Credit: Open AI)
Should You Learn Lisp?
Q: [As subject]
A: "Learning programming languages, like human languages, or generally different skills, is a way to enlighten you. LISP is a cool language because it does things differently. So sure, in that sense, Lisp may be worth your time.
On the other hand, if you do want to learn modern-day A.I. though, perhaps probability and statistics are the first "language" you want to learn well. As one member, Ernest Szeto said, nowadays A.I. usually use at least some probability-based logic. And if you think probability and statistics as a language, they are fairly difficult to learn on their own.
And yes, at AIDL, we recommend python as the first language, because it allows you to use several stacks in deep learning. You can also use R and java, but notice that there will be a gap between your work and what many people are doing."
First publish as blog message: