In the News
In the News
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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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"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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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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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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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.
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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.
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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.
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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?"
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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"
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Chip-in-cell Project Presented at Entrepreneurship Summit 2016
Chip-in-cell Project Presented at Entrepreneurship Summit 2016
