Last Week in AI

Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:

From the Editor: Self-Supervised vs. Supervised vs. Reinforcement Learning

Traditional machine learning theory divides the world in two fundamental schools: supervised and unsupervised learning. However, we know that picture is incomplete. Reinforcement learning(RL) has been at the center of some of the most exciting developments in the recent years of artificial intelligence(AI). From DeepMind’s AlphaGo beating Go’s World Champion Lee Sedol to breakthroughts in games like Star Craft or Dota2, RL systems have come the closesto show sparks of intelligence. Given that RL systems learn by interacting with an environment instead of just being trained like supervised models, many experts believe that they are the key to achieve artificial general intelligence(AGI).

The current situation of machine learning systems can be summarized as this: supervised learning works but requires a lot of training data, unsupervised learning remains unpractical and RL applications applications have been mostly constrained to games. As a result, some of the top minds in the AI community have started…