The Brain Power Behind Sustainable AI

PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence. Jason Sparapani | Department of Materials…


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A “seating chart” for Atoms Helps Locate Their Positions in Materials

Jennifer Chu | MIT News The DIGIT imaging tool could enable the design of quantum devices and shed light on atomic-scale processes in cells and tissues.


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AI System Learns from Many Types of Scientific Information and Runs Experiments to Discover New Materials

Zach Winn | MIT News The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for…


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MIT Engineers Develop a Magnetic Transistor for More Energy-efficient Electronics

Adam Zewe | MIT News A new device concept opens the door to compact, high-performance transistors with built-in memory.


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MIDDAS: Memory Integration and Data Dis-Aggregation

Wednesday, November 19, 2025 | 12:00 - 1:00pm ET Hybrid Zoom & MIT Campus


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Harnessing Magnetic Material Nanotextures for AI

Wednesday, September 17, 2025 | 12:00 - 1:00 pm ET Hybrid Zoom and MIT Campus


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New Tool Makes Generative AI Models More Likely to Create Breakthrough Materials

Zach Winn | MIT News With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.


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MIT Engineers Advance Toward a Fault-tolerant Quantum Computer

Adam Zewe | MIT News Researchers achieved a type of coupling between artificial atoms and photons that could enable readout and processing of quantum information in a few…


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New Chip Tests Cooling Solutions for Stacked Microelectronics

Kylie Foy | MIT Lincoln Laboratory Preventing 3D integrated circuits from overheating is key to enabling their widespread use.


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III-Nitride Ferroelectrics for Integrated Low-Power and Extreme-Environment Memory

Monday, May 5, 2025 | 4:00 - 5:00pm ET Hybrid Zoom & MIT Campus


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