Every week, 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: Microsoft AI Week

Microsoft has been one of the technology companies most actively driving research and innovation in artificial intelligence(AI). This week, during the virtual edition of its Build conference, Microsoft announced an incredible number of AI initiatives across many of its product lines. The overarching theme of the releases is to support the implementation of large-scale and secured AI applications.

In the current state of the AI market, we are seeing a clear trend towards the implementation of larger models that require significant computation resources to operate. Those models have very unique training and security requirements which makes it very hard for mainstream companies to implement and operate. Some of Microsoft’s releases this week are intending to make “large-scale AI” more mainstream.

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

AI Research

Facebook GrokNet

Facebook AI Research(FAIR) published a paper unveiling GrokNet, a new computer vision model designed to optimized shopping experiences.

>Read more in this blog post from the FAIR team

Unsupervised NLP

Researchers from Amazon published a paper introducing the concept of language-independent tokenization as a way to train natural language tokenizer using unannotated data.

>Read more in this blog post from Amazon Research

Google BIT

Google AI researchers published a paper unveiling BiT, a method for large-scale pretraining of computer vision models.

>Read more in this blog post from Google Research

Cool AI Tech Releases

AGI Supercomputer

Microsoft and OpenAI unveiled a new supercomputer designed specifically for training large AI models.

>Read more in this blog post from the Microsoft Azure team

Zero-2

Microsoft Research open sourced Zero-2, a new version of its memory optimization framework for the training of large scale models.

>Read more in this blog post from Microsoft Research

White Noise

Microsoft also open sourced White Noise, a new deferential privacy framework that can be used to protect datasets in machine learning workflows.

>Read more in this blog post from the Microsoft Azure team

AI Startups and Relevant News

MIT AI vs COVID-19

The MIT-IBM Watson AI Lab has been actively funding several AI projects focused on the COFIV-19 pandemic.

>Read more in this coverage from MIT News

Nvidia Monster Quarter

In an uncertain financial market, Nvidia reported a $3.08 billion revenue quarter driven by its GPU sales used to power AI solutions.

>Read more in this coverage from VentureBeat

AI for Industrial Control Systems

Microsoft announced Project Bonsai, a new service to create AI models for industrial control systems.

>Read more in this blog post from Microsoft

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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