Much of the search system scaling work led to infrastructure creation of things like MapReduce, BigTable, Spanner, protocol buffers, and other things.
@jeffdean
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Unpublished Web Index Scaling Techniques and Data Storage Innovation
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We never published most of the things we did in order to accomplish this scaling. Lots of cool things here like storing data on outside of disk platters for better read bandwidth, better index compression, to then storing the entire web index in RAM (in each serving cluster!)
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Scaling Search Index from Millions to Billions of Pages
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As our search traffic grew, we were desperately trying to avoid melting every Tuesday around noon (peak traffic for the week), while simultaneously improving the service. Making the index bigger (30M->70M->200M->500M->1B pages and beyond in a short span), …
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Google Celebrates 25 Years of Innovation and Growth
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Happy 25th Birthday Google! I have gotten incredible enjoyement from being along for the ride for 24+ of these years. When I joined, we were a handful of people wedged into a small office area in downtown Palo Alto above what is now a T-Mobile store.
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Student creates non-AI artwork of professor including cyborg version
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Also, one of the students made these quite nice (and interesting) pictures of me, plus a half-cyborg me and gave them to me. No generative AI tools were used, she says! Thank you, @ICailie
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Speaker visits Ashesi campus for student engagement
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Delighted to finally have the chance to visit the @Ashesi campus today, give a talk, and chat with students faculty, and staff! Thank you @AyorkorK and the rest of the people at Ashesi for your hospitality!
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Professor Ayorkor Korsah keynote at Ashesi University announced
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I'm so excited to hear the keynote today from Professor Ayorkor Korsah of @Ashesi University!
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IOI 2023 Competition Congratulations Team Success
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Congratulations to the entire team! And congrats to everyone who competed in this year's #ioi2023.
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Contacting Paper Authors for Emissions Estimation
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Agreed, although the other suggestion of checking in with paper authors if you're trying to estimate emissions based on work they've published is also sensible.
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Neural Radiance Fields: ML meets Computer Graphics Education
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It's a new enough area that there may not be books, but there are plenty of research papers, tutorials and open source implementations of things in the emerging area of Neural Radiance Fields (NeRFs). This would introduce them to ML in the context of computer graphics.