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

Artificial intelligence(AI) draws inspiration from many disciplines such as psychology or economics but nothing beats the influence of neuroscience in modern AI applications. Simulating the principles of the brain has long been considered the holy grail of AI. Google’s subsidiary DeepMind has been very active combining neuroscience research in their breakthrough AI models. Intuitively, we assume that a deeper understanding of the brain will translate into better AI systems. The opposite relationship is a bit more surprising but also valid, some of the behavior exhibit from sophisticated AI systems will help neuroscientists better understand the human brain.

One of the most advanced hypothesis of the relationship between neuroscience and AI is known as the Free Energy Principle. Pioneered by British neuroscientist Karl Friston supposedly explains how biological systems maintain their order throughout their evolution. The Free Energy Principle is so complex that there are entire communities dedicated to its study. Some of its bullish followers refer to the Free Energy Principle as a guide to the human brain and claim that it contains the key to general AI. This week Wired Magazine dedicated an entire article to Friston’s theory which is referenced below.

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


Facebook researchers created a new method for nothing else than optimizing floating point arithmetic which is the basics of AI hardware.

>Read more in this blog post from Facebook engineering

Google AI researchers published a paper proposing a supervised learning method to understand conversations with multiple simultaneous speakers.

>Read more in this blog post from Google Research

Staying with Google, AI researchers published a paper proposing a new deep learning method to estimate the aggressiveness of prostate cancer

>Read more in this blog post from Google Research

Cool Tech Releases

Microsoft open sourced AirSim, an AI-based simulation system for training autonomous vehicles.

>Read more in this blog post from Microsoft Research

Continuing with Microsoft, the Redmond giant announced a preview of Azure Cognitive Service containers which allow to implement AI applications for IOT devices.

>Read more in this blog post from the Azure team

AI in the Real World

DeepMind Health subsidiary is transition into Google Health in a move that has triggered some concerns in the healthcare community

>Read more in this report from CNBC

Neuroscientist Karl Friston has one of the most groundbreaking theories about general AI

>Read more in this Friston’s profile by Wired Magazine

Microsoft acquired chatbot maker XOXCO known for building the Slack’s Howdy platform

>Read more in this report from CNET

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

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