News
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Prof. Wong Elected to the National Academy of Engineering
Three Stanford faculty members have earned one of engineering’s highest professional distinctions.
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Professor Wong Receives 2025 Outstanding Research Award from Pan Wen Yuan Foundation
Honored for laying the key theoretical foundation for nanoscale transistors, highlighted at the July 25 ceremony in Taiwan
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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”
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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
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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
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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
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Post-doc Fabia Farlin Athena Selected for Forbes 30 Under 30 Energy & Green Tech List
Powering a more sustainable future
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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
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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.
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Hybrid Memory Designed to Cut AI Energy Use
CHIPS Act funding boosts research into dense, speedy hybrid gain cell memory
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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.
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Prof. Wong Delivers a Keynote at TiEcon 2024
AI-infused Advanced Manufacturing: Future of America
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How We’ll Reach a 1 Trillion Transistor GPU
Advances in semiconductors are feeding the AI boom
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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.
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New Device Leads to “Dendrocentric Learning”
Stanford researchers mimic brain structure with ferroelectric material
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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