Category: Electrical Engineering and Computer Science
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Beyond transistor limits: Hybrid magnetic-sound waves could boost computing speed and efficiency
An alternative to the transistor, made with multiferroic materials, could make computers up to 1,000 times faster and more energy-efficient.
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AI training energy reduced up to 50% with U-M software
NVIDIA, the world’s leading AI computing company, is evaluating how to add the energy-saving software to its open-source training platform.
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Ten early-career engineers earn NSF CAREER awards
The rising researchers will lead projects including smart bandages for monitoring wounds, improved air traffic management and real-time tumor tracking.
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U-M physics and engineering researcher named Clarivate Citation Laureate
22 researchers honored for Nobel-class discoveries.
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Most powerful laser in U.S. renewed for five years
The U.S. National Science Foundation provides $33M to make key upgrades and keep the laser in service for a growing group of U.S. and international users.
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Designing memory-centric chips for future space telescopes
An SRAM chip design could avoid data-movement bottlenecks, helping next-generation telescopes image Earth-like planets orbiting distant suns.
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New AI+ Engineering master’s programs and certificate launches on-campus and online
Enrollment opens for 12-credit and 30-credit programs for applied AI skills in seven engineering concentrations.
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Mobile VPN security is not as strong as advertised
A new VPN auditing framework, MVPNalyzer, found many popular Android VPNs transmit sensitive data without encryption, some leak traffic and most fail to protect user IDs.
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Quantum made practical: U-M-led team advances in NSF center competition
The project aims to develop plug‑and‑play photonic chips that bring quantum‑light measurements out of the lab into field‑ready commercial devices.
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UK’s Royal Society elects Stephen Forrest, engineer and entrepreneur
Forrest’s work underpins commercial fiber-optic communications and OLED displays, with an eye to future generations of photovoltaics.
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AI helps instructors give better feedback but can’t replace them
A randomized trial in a large economics course found that AI-mediated feedback improved students’ revisions when teaching assistants stayed in control.
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A hardware-software co-design to efficiently run AI on edge devices
Adjusting state space models to work with a compute-in-memory architecture demonstrated energy-efficient processing of continuous event sequences.