Technology and society
Technology and society

Technology and society

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An AI dataset carves new paths to tornado detection

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.

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MIT faculty, instructors, students experiment with generative AI in teaching and learning

At MIT’s Festival of Learning 2024, panelists stressed the importance of developing critical thinking skills while leveraging technologies like generative AI.

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A crossroads for computing at MIT

The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.

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MIT launches Working Group on Generative AI and the Work of the Future

New initiative is convening leading companies and nonprofits with support from Google’s Community Grants Fund.

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Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.

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3 Questions: What you need to know about audio deepfakes

MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.

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Brain surgery training from an avatar

MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.

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3 Questions: Shaping the future of work in an age of AI

Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.

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“We offer another place for knowledge”

After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.

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Doctors have more difficulty diagnosing disease when looking at images of darker skin

Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.