News

On Cumulative Advantage and How to Think About Luck

On Cumulative Advantage and How to Think About Luck

In the late 1970s the view in the publishing world was that an author should never produce more than one book a year. The thinking was that publishing more than one book a year would dilute the brand name of the author. However, this was a bit of a problem for Stephen King, who was writing books at a rate of two per year.

Read More
AI Can Generate ‘Doom’ Levels Now

AI Can Generate ‘Doom’ Levels Now

Researchers recently successfully trained neural networks to generate level maps for Doom that, they report in a paper published to the arXiv preprint server in April, “proved to be interesting” to play. The work was carried out by researchers from the Polytechnic University of Milan and used Generative Adversarial Networks, a recent innovation in the field of deep learning.

Read More
AI trained to navigate develops brain-like location tracking

AI trained to navigate develops brain-like location tracking

Now that DeepMind has solved Go, the company is applying DeepMind to navigation. Navigation relies on knowing where you are in space relative to your surroundings and continually updating that knowledge as you move. DeepMind scientists trained neural networks to navigate like this in a square arena, mimicking the paths that foraging rats took as they explored the space.

Read More
Intel Starts R&D Effort in Probabilistic Computing for AI

Intel Starts R&D Effort in Probabilistic Computing for AI

Intel announced today that it is forming a strategic research alliance to take artificial intelligence to the next level. Autonomous systems don’t have good enough ways to respond to the uncertainties of the real world, and they don’t have a good enough way to understand how the uncertainties of their sensors should factor into the decisions they need to make. According to Intel CTO Mike Mayberry the answer is “probabilistic computing”, which he says could be AI’s next wave.

Read More
Tags