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:

From the Editor: One of the Most Important AI Papers of 2019

Francois Collet is a well-known name in the artificial intelligence(AI) community. A scientist in Google’s AI unit, Mr. Collet rose to prominence with the creation of Keras, one of the most popular deep learning frameworks in the market. A few weeks ago, Mr. Collet published a very comprehensive paper titled On the Measure of Intelligence, that proposes a new methodology for evaluating the intelligent capacity of AI systems. By going back to the roots of intelligence, Mr. Collect shades some light in some of the fundamental challenges of AI systems.

The premise of Mr. Collect paper is so simple that might appear shocking: we need to be able to define and evaluate intelligence in a way that enables comparisons between two systems, as well as comparisons with humans. Most AI systems today focus on measuring effectiveness on executing a specific task which is no real measure of intelligence by human standards. The paper is simply fascinating and, in our opinion, one of the most influential research publications of this year.

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

AI Research

Measuring Intelligence

Francois Collet, the creator of the Keras deep learning framework, published a groundbreaking research paper about an improved model to evaluate the intelligence of AI systems.

>Read more from Francois’ interview with ZDNet

Games for Dialog Research

Facebook Research published a research paper for a multiplayer game to enable the training of conversational agents.

>Read more in this blog post from Facebook Research

Improved Learning with Better Exploration

Microsoft Research published a paper proposing a method for addressing the challenges of greedy exploration in reinforcement learning agents

>Read more in this blog post from Microsoft Research

Cool AI Tech Releases

AI Predictions Everywhere in AWS

AWS announced this week that is integrating prediction models into several business intelligence and database services.

>Read more in this blog post from the AWS team

Anomaly Detection in Streaming Applications

AWS open sourced Open Distro for Elasticsearch, a plugin that enables the detection of anomalies in stream datasets.

>Read more in this blog post from the AWS team

Machine Translation for African Languages

The Masakhane project is leveraging AI to enable translation across different African languages and dialects.

>Read more in this article from VentureBeat

AI in the Real World

AI Talks About the Future of AI

The Economist published a fascinating interview with GPT-2, the famous language model created by OpenAI.

>Read the entire interview here

AI Opinions About Henry VIII’s Mystery

For years, scholars have Shakespeare had some help when writing Henry VIII. An AI model reveals than more than half the play might have been written by someone else.

>Read more in this article from Smithsonian

A New Podcast About AI

Wired is launching a new podcast that explores the AI revolution. The first episode is fantastic!

>Read more in this article from Wired

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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