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Every week, my team at 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:

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From the Editor: Mastering Go, Chess, Shogi and Atari Without Knowing the Rules

Gaming is one of the areas in which AI has shown the most progress in the last few years. From checker to Go to StarCraft, AI programs has regularly achieved superhuman performance and shown signs of creativity. However, in all scenarios, those AI programs started by being trained in the rules of the game. What would happened if that wasn’t the case? After all, there are plenty of scenarios in which we are faced with a brand new environment that we need to learn as we go along. Humans are extremely good at this but can AI agents do it?

This week, DeepMind published a research paper unveiling MuZero, a reinforcement learning agent that mastered games like Atari, chess, shogi and Go without knowing the rules upfront. Using a technique known as model-based reinforcement learning, MuZero will first learn the dynamics of the environment( rules of the game) and then learning the best strategies conducive to a successful outcome. The principles of MuZero applied to many scenarios in robotics or economics in participants need to interact with unknown environments. Super exciting!

Now let’s take a look at the core developments in AI research and technology this week:

AI Research

MuZero Learns to Play Games Without Knowing the Rules

DeepMind published a research paper unveiling MuZero, a reinforcement learning agent that mastered different games without knowing the rules upfront.

>Read the research paper here

Deep Learning to Discover Personalized Apps

This week DeepMind also published an insightful blog post describing the work they are doing with Google to optimize the discovery of new apps in the Google Play Store.

>Read more in this blog post from DeepMind

High Quality Image-Video Rendering for AR/VR

Facebook AI researchers published a paper discussing a method for reconstructing and rendering high quality AR/VR images and videos with small computation power.

>Read more in this blog post from Facebook Research

Cool AI Tech Releases

Safety Gym

OpenAI opens sourced Safety Gym, a groups of environments and tools to train reinforcement learning agents that respect safety constraints while training.

>Read more in this blog post from OpenAI

RecSim

Google open sourced RecSim, a platform for building simulations for recommerder systems.

>Read more in this blog post from Google Research

Stradigi AI

AI software and services startup Stradigi AI raised $53 million series A.

>Read more in this coverage from VentureBeat

AI in the Real World

AI and Metal Health

Time Magazine published an insightful piece about the influence of AI in psychiatry.

>Read the entire article here

Microsoft and NVIDIA Want More AI Startups

Microsoft for Startups and Nvidia Inception programs are coming together to help scale AI startups.

>Read more in this coverage from VentureBeat

2020 AI Predictions

Is that time of the year in which everyone starts making predictions about tech trends. Analysts firms Forrester and IDC unveiled their AI predictions for 2020.

>Read more in this coverage from Forbes

Written by

CEO of IntoTheBlock, Chief Scientist at Invector Labs, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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