New Method Efficiently Safeguards Sensitive AI Training Data

Adam Zewe | MIT News The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.


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The Road to Gate-All-Around CMOS

Monday, April 14, 2025 | 10:00 AM to 11:00 AM In-Person Haus Room (36-428) 50 Vassar Street Cambridge, MA


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Analog Compute-in-Memory Accelerators for Deep Learning

Wednesday, April 30, 2025 | 12:00 - 1:00pm ET Hybrid Zoom & MIT Campus


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Device enables direct communication among multiple quantum processors

Adam Zewe | MIT News MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.


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2025 MIT AI Hardware Program Annual Symposium

Monday, March 31, 2025 | 10:00 AM - 3:30 PM ET Multiple Speakers


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High-performance Computing, with Much Less Code

Adam Conner-Simons | MIT CSAIL The Exo 2 programming language enables reusable scheduling libraries external to compilers.


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Researchers Establish New Basis for Quantum Sensing and Communication

MIT Laboratory for Information and Decision Systems New theoretical approach for generating quantum states could lead to improved accuracy and reliability of information and…


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Collaborating to Advance Research and Innovation on Essential Chips for AI

Microsystems Technology Laboratories Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and…


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Chip-based System for Terahertz Waves could Enable more Efficient, Sensitive Electronics

Adam Zewe | MIT News Researchers developed a scalable, low-cost device that can generate high-power terahertz waves on a chip, without bulky silicon lenses.


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Agile Design of Domain-Specific Hardware Accelerators and Compilers

Wednesday, February 12, 2025 Hybrid Zoom & MIT Campus


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