True Positive Weekly #30

The most important artificial intelligence and machine learning links of the week

Hey, in this issue: AlphaFold 2 explained in detail, an AI that could process many types of perceptive data, a blazing-fast and massively scalable nearest neighbor search engine, a few-shot neural architecture search, a human-like neural network chess engine, and more.

The sponsor of this issue is InterviewQs.

• Google’s Supermodel: DeepMind Perceiver is a step on the road to an AI machine that could process anything and everything (paper)

• Vertex Matching Engine: blazing fast and massively scalable nearest neighbor search

• Facebook introduced a few-shot neural architecture search

• [Video] AlphaFold 2 explained in detail by ArXiv Insights (paper, code)

• [Sponsored] InterviewQs - Get better at data science interviews by solving a few questions per week for free

• [Nature] Artificial intelligence in structural biology is here to stay

• 20,000 proteins expressed by the human genome predicted by DeepMind's AlphaFold are now available to download

• Advances in TensorFlow learning-to-rank library TF-Ranking

• Maia: a human-like neural network chess engine trained on millions of human games (code)

Enjoy the newsletter? Help me make it bigger and better by sharing it with your colleagues and friends.

Have a nice weekend! See you next week. — Andriy