I was at DEC WRL (AltaVista spun out of there and DEC SRC), and Monika and I collaborated with some people at AltaVista on deploying some algorithms for finding related pages: https://
scholar.google.com/scholar?q=alli
ntitleFindingrelatedpagesintheworldwideWeb#d=gs_qabs&t=1728051438262&u=pix4tyK1CXA8J
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@jeffdean
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DEC WRL AltaVista algorithms for finding related web pages
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Former DEC Colleague Monika Henzinger Joins Google
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I missed being in this photo because I was off convincing my friend and former DEC colleague Monika Henzinger to join Google.
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Tensor Processing Units: Google’s Specialized AI Hardware
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https://
en.wikipedia.org/wiki/Tensor_Pr
ocessing_Unit
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Google and DeepMind Research Publications Now Discoverable
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A lot of it is pretty discoverable already: https://
research.google/pubs/ https://
deepmind.google/research/publi
cations/
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Amazing Research Team Hiring New Positions
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This team is doing amazing work! I visited them in February and had some of the most enjoyable research reviews I've ever done. Check out the job postings below
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Gemini 1.5 Flash-8B Caching: One Million Tokens for One Penny
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When using caching with Gemini 1.5 Flash-8B , one million tokens costs one penny. 1¢!
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AlphaChip Authors Celebrate with Chips Party
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To celebrate, many of the AlphaChip authors got together for a chips party.
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RL Applications in Chip and PCB Hardware Engineering
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Thanks, @Kbeguir
! The application of RL to chip floor planning (AlphaChip and follow on work), and @instadeepai
's work on RL for PCB board design (DeepPCB) are both great examples of real world application of RL to hardware engineering problems! -
Distributed Neural Network Training: From 1990 to Large Scale
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I did an undergrad thesis on parallel training of neural networks in 1990, then detoured through HIV/AIDS forecasting, compiler optimizations, information retrieval, distributed computation and storage systems before returning to large scale distributed training of neural
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Open Source Code Adoption Challenges in AI Research
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It's a good question. In this case, we had already open sourced the code in 2022 (as a companion to the 2021 Nature paper), but we'd observed that it wasn't very easy for some in the community to take advantage of that because they had to find interesting blocks to pre-train on