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Prabhakar Raghavan

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titleconferencedate
Unfamiliar TerrainThe Role of TCS in Modern Machine Learning2026-05-26
Uses AlphaEvolve to evolve code that generates proof objects, produces a sub-ten-node asymmetric gadget that improves a TSP hardness ratio to 111/110, a…
Talk on
Google Keynote (Google I/O ‘21)Google I/O 20212021-05-18
Key claims and concrete builds: a TPUv4 chip and TPUv4 pod >1 exaFLOP (4,096 v4 chips, 10x interconnect), LaMDA as an open‑domain dialogue model, MUM that is…
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Google Cloud Next '17 - Day 2 KeynoteGoogle Cloud Next '172017-03-08
Google announces concrete product rollouts and demos: Cloud Spanner: 3 billion rows, 500k tickets/min, 80TB DB with 800MB/s ingest and atomic-clock timestamps…
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Five Things I Learned from Dick KarpKARPfest802015-10-17
Shows five concrete lessons: a one-line indicator proof that the expected number of quicksort comparisons equals the sum of 2/(j-i+1) giving ~2n ln n; a…
Talk on
Consumer Behavior and Algorithm DesignSymposium on Visions of the Theory of Computing 20132013-05-29
Claims that consumer-facing computing reshapes algorithms and gives concrete wins: a web adjacency scheme compresses links to about three bits per edge (MSR…
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