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: The Research Paper that can Change Machine Learning

We are living in the golden age of artificial intelligence(AI) research. Every week there are dozens, if not hundreds, of new AI research papers published by academic institutions and technology companies. Most of those papers focused on highly theoretical scenarios but, from time to time, some research comes along that you feel has the opportunity of changing the entire AI space. This is the case of the recent Lottery Hypothesis paper published by researchers of the MIT’s Computer Science and Artificial Intelligence Lab (CSAIL).

The Lottery Hypothesis, basically states that most neural networkshave shown that neural networks contain subnetworks that are up to one-tenth the size yet capable of being trained to make equally accurate predictions — and sometimes can learn to do so even faster than the originals. That essentially means that neural networks can be trained using a fraction of the computational resources we have today. Shortly after its publications, companies like Google and Uber are already adopting the Lottery Hypothesis in their technology stacks. Certainly impressive for a new AI research paper.

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


Google introduces Translatotron, a new model for speech translation that doesn’t rely on intermediate text representations.

>Read more in this blog post from Google Research

Microsoft AI researchers unveiled a new natural language processing model for mastering language across different tasks.

>Read more in this blog post from Microsoft Research

Researchers from the University of Chicago propose a clinical approach to train better data scientists.

>Read the research paper here

Cool Tech Releases

The Uber engineering team shows how to visualized safety traffic data using Kepler.gl.

>Read more in this blog post from the Uber engineering team

AI researchers from IBM announced a project that uses machine learning to investigate cancer heterogeneity.

>Read more in this blog post from IBM Research

Google released three new machine learning courses for all enthusiastic in the space.

>Read more in this blog post from Google Education

AI in the Real World

AI marketplace Algorithmia announced they raised a $25 million Series B round.

>Read more in this blog post from Algorithmia

Chess legend Garry Kasparov discussed his ideas about AI and human creativity.

>Read the entire interview at AdWeek

Walmart is banking heavily on AI to remain competitive with Amazon.

>Read more in this coverage from CNBC

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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