Wednesday, 11 November 2026 Updated 1 hr ago 34 stories Sources RSS

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Reinforcing the value of human understanding at MIT

During the MIT School of Humanities, Arts, and Social Science's 75th Anniversary Symposium, scholars, students, and performers from across SHASS gathered to celebrate its legacy and contributions.

Reinforcing the value of human understanding at MIT

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Q&A: How AI came to model the “messy” human mind

MIT Assistant Professor Benjamin Lindquist discusses his research on the incorporation of randomness and irrationality into early AI models designed to mimic human creativity.

Q&A: How AI came to model the “messy” human mind

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This design software reimagines everyday objects as self-aware devices

The “X-Hinges” software tool developed by MIT CSAIL researchers can help users design and produce self-aware items. It automatically embeds sensors at different angles that send clear signals, ensuring your object reacts to dynamic…

This design software reimagines everyday objects as self-aware devices

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Giving AI a “crystal clear” view of the materials world

MIT researchers created an AI model that can identify optimal crystalline materials for various applications. The model combines 3D atomic structures with natural language descriptions to characterize crystal structures from research…

Giving AI a “crystal clear” view of the materials world

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AI model decodes the language cells use to communicate

Researchers at the MIT Whitehead Institute developed a powerful computational approach to understand how cells communicate with each other to assemble into tissues and organs. Their framework has the potential to accelerate stem cell…

AI model decodes the language cells use to communicate

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Q&A: The “collision” between AI, your brain, and society

Heavy use of artificial intelligence can lead to a kind of cognitive atrophy, in which people fail to develop and retain essential thinking skills, MIT Professor Eric So contends in his book, “The Collision: What AI does to Us.”

Q&A: The “collision” between AI, your brain, and society

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How artificial neural networks build their own learning machinery

MIT neuroscientists have shown it possible for an artificial neural network to build its own learning machinery. With simple instructions about how and when connections should change, a group of randomly connected units can reshape itself…

How artificial neural networks build their own learning machinery
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