The phenomenal teams from Google Research’s Brain and @DeepMind have made many of the seminal research advances that underpin modern AI, from Deep RL to Transformers. Now we’re joining forces as a single unit, Google DeepMind, which I’m thrilled to lead! https://
dpmd.ai/announcing-goo
gle-deepmind
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INNOVATION
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Google DeepMind: Brain and DeepMind Unite as Single Unit
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Google DeepMind and Jeff Dean Build AGI for Humanity
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Working with all our fantastic colleagues across Google, we have an opportunity to build AI and ultimately AGI to benefit humanity. Looking forward to working with @JeffDean in his new role as Google's Chief Scientist. And excited for what we create next at Google DeepMind!
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Wikipedia Embeddings Archives: 100 Million Vectors Across 10 Languages
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What could you build if you had the embeddings of ALL of wikipedia? The Embedding Archives: Millions of Wikipedia Article Embeddings in Many Languages https://
hubs.li/Q01Mg6_C0 We’re publishing ~100 million embedding vectors, covering Wikipedia in 10 languages. Get them now! -
Climate Modeling with Limited Data: Key Research Challenges
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@rendx gave a great talk today tackling the major challenges of modelling when assessing climate and risk impacts when data is limited, which affects so much of the world. We need more work with this focus.
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Active Learning Enhances Antarctic Climate Research Understanding
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Great presentation from @tom_r_andersson on day 2 @Climformatics Active learning improve how we understand the Antarctic. Impressive work. See the paper here: https://
arxiv.org/abs/2211.10381 -
GroqChip Advantages in HPC with Large Data Structures
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Register to hear from Ernesto Bonomi about GroqChip™ advantages and use in HPC calculations with dense and large data structures. #AI #DataAnalysis #HPC https://
eventbrite.it/e/biglietti-hi
gh-performance-computing-on-tensor-streaming-processors-for-large-scale-619612526747
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Congress Investment in NIST for Safer AI Systems
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As Congress evaluates funding levels for 2024, we encourage it to consider an ambitious investment in NIST as a strong step towards creating safer, more innovative AI systems. You can read more in our full post here:
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NIST AI Budget Increase Proposal Reaches Fifteen Million Dollars
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Our proposed $15 million increase is 3X NIST’s requested AI budget, but this figure is not unprecedented – it’s the same amount of funding requested for FY 2022 and FY 2023 (these requests were ultimately only partially met).
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NIST Proposal Measures Quantifies AI System Capabilities Drawbacks
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We believe measuring and quantifying various aspects of AI systems is critical and urgent for helping society better understand the advances and potential drawbacks of increasingly capable AI systems. Read our blog for details on our NIST proposal:
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NIST Needs More Federal Funding for AI Programs
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We believe NIST would benefit from more federal funding. In our review of past budget documents, we’ve seen a general under-resourcing in funding for AI programs at NIST. This has taken place against the backdrop of more powerful systems being deployed across the economy.