It is true that the future impact of giving away your DNA today is unpredictable. https://t.co/GhAJZfo08v

@mccrory Three? Sometimes one? 🙂

Hence my quote a few days ago about “machine learning not working”.

Now what happens if somebody uses #VR + #AI, per previous posts, to alter reality and give them what they believe > “you will come to actually understand why a growing number of people are dead certain that Earth is flat. Because that truth is unnerving.” https://t.co/kVwJsUDkzl

As of 2016, a rough rule of thumb is that a supervised deep learning algorithm will generally achieve acceptable performance with around 5k labeled examples / category and will match or exceed human performance when trained with a dataset containing at least 10M labeled examples. https://t.co/B7TELpx707

It’s getting easier and easier to find what people like > This algorithm can tell which number sequences a human will find interesting https://t.co/vErYwA6V9v

@DCisquared @datacloudEurope Sure. Feel free to contact me at first name @ benevolent employer dot com

I use @instagram exclusively for art, following a number of contemporary artists and many galleries and museums worldwide.

The most fascinating aspect of this is watching some artists experimenting, morphing, evolving, thoughtout thier artistic career documented on the platform

Monaco-bound for the #DCE18. On stage tomorrow morning. I have been doing an increasing number of presentations about IT security in last 12 months. Funny how little has changed since I was 25.

And by funny, I mean not funny at all. https://t.co/4eyUBTEltU

What happens when you feed #AI computer vision with screen recordings of somebody using an UI? What can be learned? How can be used?

I have been thinking about this for a year now.

How you present information in your presentation makes a huge difference.

(From “Deep Learning” – Goodfellow, Bengio, Courville) https://t.co/4DogVg7Emd