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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New AI model could streamline operations in a robotic warehouse
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
Using AI to discover stiff and tough microstructures
Innoative AI system from MIT CSAIL melds simulations and physical testing forge materials with newfound durability and flexibility for diverse engineering uses.
What does the future hold for generative AI?
Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
A method to interpret AI might not be so interpretable after all
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, "Air-Guardian" blends human intuition with machine precision, creating a more symbiotic relationsip between pilot and aircraft.
AI pilot programs look to reduce energy use and emissions on MIT campus
A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT's buildings.
Fast-tracking fusion energy's arrival with AI and accessibility
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
AI models are powerful, but are they biologically plausible?
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.
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