Artificial Intelligence #78

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 sponsors of this issue are UbiOps and AMTA.

• 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] UbiOps - From experiment to production in no-time

Run your Python & R models as live web services you can use from anywhere. Serve simple jobs as well as complex ML pipelines. UbiOps is a fully-managed MLOps platform to take care of scaling, monitoring and security, so you can focus on data science.?

• [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
• [Sponsored] MT Summit 2021: learn from Ebay, Huawei, Johns Hopkins Uni and other leaders in machine translation [Register here].
• Advances in TensorFlow learning-to-rank library TF-Ranking
• Maia: a human-like neural network chess engine trained on millions of human games (code)

The newsletter is now read by more than 450,000 subscribers. If you are building an AI or a data product or service, you are invited to join the list of?these great companies?by becoming a sponsor of one of the future newsletter issues. Feel free to reach out to?[email protected]?for more details on sponsorships.

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