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NOVEMBER 21, 2023

Luiz André Barroso Data center pioneer Senior member, 59; died 16 September An engineer at Google for more than 20 years, Barroso is credited with designing the company’s warehouse-size data centers. in computer engineering in 1996 from the University of Southern California. He then moved to Los Angeles, where he earned a Ph.D.

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MARCH 3, 2024

Every time you use your voice to generate a message on a Samsung Galaxy mobile phone or activate a Google Home device, you’re using tools Chanwoo Kim helped develop. He recently left Samsung to continue his work in the field at Korea University , in Seoul, leading the school’s speech and language processing laboratory.

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DECEMBER 16, 2022

CERF Google, LLC Reston, Va. ALLEN MEDAL Sponsor: IBM LYDIA KAVRAKI Rice University Houston “For foundational probabilistic algorithms and randomized search methods that have broad impact in robotic motion planning and computational biology.” IEEE MEDAL OF HONOR Sponsor: IEEE Foundation VINTON G. IEEE FRANCES E.

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DECEMBER 28, 2021

MADNI University of California, Los Angeles “For pioneering contributions to the development and commercialization of innovative sensing and systems technologies, and for distinguished research leadership.” Kumar Texas A&M University College Station “For seminal contributions to the modeling, analysis, and design of wireless networks.”

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SEPTEMBER 24, 2021

Deep learning is a modern incarnation of the long-running trend in artificial intelligence that has been moving from streamlined systems based on expert knowledge toward flexible statistical models. For example, rule-based approaches to translating languages such as Urdu, Arabic, and Malay outperformed statistical ones—at first.

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DECEMBER 23, 2023

ALLEN MEDAL Sponsor: IBM DAVID KUCK University of Illinois Urbana-Champaign “For pioneering work in vector and parallel computer architecture, software, and compilers that enables many performance-sensitive applications.” VAIDYANATHAN Caltech “For contributions to theory and practice of statistical, graph, and distributed signal processing.”

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JANUARY 6, 2024

The degree to which large language models (LLMs) might “memorize” some of their training inputs has long been a question, raised by scholars including Google DeepMind’s Nicholas Carlini and the first author of this article (Gary Marcus). With Google Image search, you get back a link, not something represented as original artwork.

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