Every week, my team at Invector Labs publishes a newsletter to track 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: Understanding AI Like Wild Animals

The complexity of artificial intelligence(AI) agents is increasing so rapidly that , very soon, will be nearly impossible to understand their behavior from an algorithm perspective. The smarter AI agents become the harder it will be to interpret their knowledge by simply analyzing their code construction. Maybe we can find the answer in a completely different discipline: anthropology.

Conceptually, anthropology is the study of human behavior in societies. Anthropology relies heavily on observations about humans and their interactions among themselves and their surroundings. In the same way, maybe there is a path to develop anthropological knowledge of AI agents by simply observing their behavior. Iyad Rahwan, the director of the Center for Humans and Machines at the Max Planck Institute for Human Development, is one of the scientists championing this forward thinking theory. Fascinating stuff!

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

AI Research

Google AI researchers published a paper proposing a new type of neural network architecture that can master specific tasks without learning any weighted parameter configuration.

>Read more in this blog post from Google Research

Facebook announced a new research consortium to solve problems in natural language.

>Read more in this blog post from Facebook AI Research

Continuing with Google, the technology giant published a research paper with a method to train neural networks using datasets that include noisy data or how we call it in the real world, every dataset 😉.

>Read more in this blog post from Google Research

Cool AI Tech Releases

Microsoft released IceCAPS, a new open source toolkit for advanced conversation modeling including settings with multiple personas.

>Read more in this blog post from Microsoft Research

DeepMind open sourced OpenSpiel, a new collection of environment for training reinforcement learning agents using video games.

>Read more in the original research paper from the DeepMind team

AI in the Real World

IBM donated a supercomputer to MIT Stephen A. Schwarzman College of Computing. The new supercomputer is optimized for running complex AI workloads.

>Read more in this coverage from MIT News

Computer scientist Iyad Rahwan has the intriguing theory of understanding AI agents by observing their behavior in the wild.

>Read more in this fascinating coverage from Quanta Magazine

Facebook is creating a digital assistant for the multi-player video-game MineCraft.

>Read more in this coverage from MIT Technology Review

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store