News
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How We’ll Reach a 1 Trillion Transistor GPU
Advances in semiconductors are feeding the AI boom
May 10, 2024
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February 28, 2024
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November 18, 2023
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Ph.D. Student Qi(Jennifer) Jiang receives Honorable Mention Poster Award at Prism Review
Jennifer has been awarded the Best Poster Award in Annual Prism Review Theme 3- Devices & Circuits
November 18, 2023
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$15.3M awarded to California-Pacific-Northwest AI hardware hub by the DOD Microelectronics Commons
Stanford will co-lead one of eight new Microelectronics Commons regional innovation hubs in an effort to accelerate new semiconductor technologies.
October 16, 2023
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Prof. Wong on the Implications of Technology Trends in the Semiconductor Industry
Prof. H.-S. Philip Wong discusses the semiconductor supply chain, explaining the difference between chip design vs manufacturing and leading edge vs legacy chips.
October 12, 2023
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DOD Names 8 Locations to Serve as New 'Microelectronics Commons' Hubs
Prof. Wong is the Principal Investigator of the California-Pacific-Northwest AI Hardware Hub.
October 12, 2023
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Prof. Wong receives 2023 IEEE Andrew S. Grove Award
Prof. Wong has been awarded the 2023 IEEE Andrew S. Grove Award, for outstanding contributions to solid-state devices and technology.
August 22, 2022
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Stanford engineers present new chip that ramps up AI computing efficiency
PhD student Weier Wan created a more efficient and flexible AI chip, which could bring the power of AI into tiny edge devices.
August 22, 2022
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Chipping away at cell mysteries
An article about Mimi Yang's work on chip in a cell project, now RFID probes can relay information to researchers from inside a living cell.
October 05, 2021
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Can Stanford University help solve the global semiconductor crisis?
Prof. Wong's answer on the topic : "Can Stanford University help solve the global semiconductor crisis?"
July 08, 2021
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December 14, 2020
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October 19, 2020
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August 20, 2020
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June 15, 2020
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RRAM-CMOS Compute-In-Memory chip presented at ISSCC 2020
"A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models"
February 13, 2020
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January 04, 2020
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October 07, 2019
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September 05, 2019
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July 01, 2019
