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Helping AI agents search to get the best results out of large language models | MIT News
Whether you’re a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance,
Softwares
Brian Hedden named co-associate dean of Social and Ethical Responsibilities of Computing | MIT News
Brian Hedden PhD ’12 has been appointed co-associate dean of the Social and Ethical Responsibilities of Computing (SERC) at MIT,
Company Profiles
3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs | MIT News
In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific researchers, including at
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Katie Spivakovsky wins 2026 Churchill Scholarship | MIT News
MIT senior Katie Spivakovsky has been selected as a 2026-27 Churchill Scholar and will undertake an MPhil in biological sciences
Softwares
Counter intelligence | MIT News
How can artificial intelligence step out of a screen and become something we can physically touch and interact with? That
Tech News
SMART launches new Wearable Imaging for Transforming Elderly Care research group | MIT News
What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure,
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SMART launches new Wearable Imaging for Transforming Elderly Care research group | MIT News
What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure,
Services
How generative AI can help scientists synthesize complex materials | MIT News
Generative artificial intelligence models have been used to create enormous libraries of theoretical materials that could help solve all kinds
Stocks
The philosophical puzzle of rational artificial intelligence | MIT News
To what extent can an artificial system be rational? A new MIT course, 6.S044/24.S00 (AI and Rationality), doesn’t seek to
Company Profiles
Why it’s critical to move beyond overly aggregated machine-learning metrics | MIT News
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what