News
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PhD Student Shuhan Liu Recieves 2024 Roger A. Haken Best Student Paper Award
For the paper entitled “Edge Continual Training and Inference with RRAM-Gain Cell Memory Integrated on Si CMOS”
January 17, 2025
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A new ultrathin conductor for nanoelectronics
Researchers at Stanford Engineering have developed an ultrathin material that conducts electricity better than copper and could enable more energy-efficient nanoelectronics.
January 08, 2025
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National effort seeks to advance semiconductor research
Stanford’s membership in a new national consortium will aid researchers in developing the next generation of chips essential for electronics
December 17, 2024
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Can Remixing Memory Curb AI’s Energy Problem?
TSMC’s former R&D chief wants designers to combine different memory technologies
December 16, 2024
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Post-doc Fabia Farlin Athena Selected for Forbes 30 Under 30 Energy & Green Tech List
Powering a more sustainable future
December 03, 2024
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"Going from a 3-gear bicycle to a 20-gear bicycle" — Scientists inch closer to new tech that combines ultra expensive but super fast SRAM and DRAM
Gain Cell combines the high density of DRAM with the speed of SRAM
November 23, 2024
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PhD Student Shuhan Liu is Selected as a 2024 IEEE Electron Devices Society PhD Student Fellowship Recipient
One year fellowships are awarded to promote, recognize, and support PhD level study and research within the Electron Devices Society’s field of interest.
November 11, 2024
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October 15, 2024
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Hybrid Memory Designed to Cut AI Energy Use
CHIPS Act funding boosts research into dense, speedy hybrid gain cell memory
October 10, 2024
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Department of Defense grants $16.3M to Berkeley and Stanford AI hub
The project aims to translate extensive university research into practical manufacturing environments in collaborate with Defense Industrial Base sector companies.
October 01, 2024
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Prof. Wong Delivers a Keynote at TiEcon 2024
AI-infused Advanced Manufacturing: Future of America
May 31, 2024
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How We’ll Reach a 1 Trillion Transistor GPU
Advances in semiconductors are feeding the AI boom
March 28, 2024
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February 28, 2024
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Stanford’s Revolutionary Universal Memory: The Dawn of a Fast, Ultra-Efficient Memory Matrix
A new phase-change memory developed by Stanford researchers offers faster, more efficient data processing capabilities.
January 27, 2024
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New Device Leads to “Dendrocentric Learning”
Stanford researchers mimic brain structure with ferroelectric material
December 11, 2023
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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