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When MIT’s interdisciplinary NEET program is an ideal match

At an early age, Katie Spivakovsky realized to review the world from completely different angles. Dinner-table conversations at her household’s dwelling in Menlo Park, California, usually leaned towards matters just like the Maillard response — the chemistry behind meals browning — or the fascinating mysteries of prime numbers. Spivakovsky’s mother and father, one among whom…

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MIT researchers introduce Boltz-1, a totally open-source mannequin for predicting biomolecular buildings

MIT scientists have launched a strong, open-source AI mannequin, known as Boltz-1, that might considerably speed up biomedical analysis and drug improvement. Developed by a group of researchers within the MIT Jameel Clinic for Machine Studying in Well being, Boltz-1 is the primary totally open-source mannequin that achieves state-of-the-art efficiency on the stage of AlphaFold3, the…

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Lara Ozkan named 2025 Marshall Scholar

Lara Ozkan, an MIT senior from Oradell, New Jersey, has been chosen as a 2025 Marshall Scholar and can start graduate research in the UK subsequent fall. Funded by the British authorities, the Marshall Scholarship awards American college students of excessive tutorial achievement with the chance to pursue graduate research in any subject at any…

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AI in well being ought to be regulated, however don’t neglect concerning the algorithms, researchers say

One may argue that one of many major duties of a doctor is to continuously consider and re-evaluate the chances: What are the possibilities of a medical process’s success? Is the affected person prone to creating extreme signs? When ought to the affected person return for extra testing? Amidst these essential deliberations, the rise of…

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Researchers scale back bias in AI fashions whereas preserving or bettering accuracy

Machine-learning fashions can fail once they attempt to make predictions for people who have been underrepresented within the datasets they have been educated on. As an illustration, a mannequin that predicts the most effective therapy possibility for somebody with a power illness could also be educated utilizing a dataset that comprises largely male sufferers. That…

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Research: Some language reward fashions exhibit political bias

Massive language fashions (LLMs) that drive generative synthetic intelligence apps, comparable to ChatGPT, have been proliferating at lightning pace and have improved to the purpose that it's usually unattainable to differentiate between one thing written by means of generative AI and human-composed textual content. Nonetheless, these fashions can even generally generate false statements or show…

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Enabling AI to clarify its predictions in plain language

Machine-learning fashions could make errors and be tough to make use of, so scientists have developed rationalization strategies to assist customers perceive when and the way they need to belief a mannequin’s predictions. These explanations are sometimes advanced, nevertheless, maybe containing details about lots of of mannequin options. And they're generally offered as multifaceted visualizations…

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Daniela Rus wins John Scott Award

Daniela Rus, director of MIT's Pc Science and Synthetic Intelligence Laboratory and MIT professor {of electrical} engineering and pc science, was lately named a co-recipient of the 2024 John Scott Award by the board of administrators of Metropolis Trusts. This prestigious honor, steeped in historic significance, celebrates scientific innovation on the very location the place…

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Quotation device provides a brand new strategy to reliable AI-generated content material

Chatbots can put on quite a lot of proverbial hats: dictionary, therapist, poet, all-knowing buddy. The synthetic intelligence fashions that energy these programs seem exceptionally expert and environment friendly at offering solutions, clarifying ideas, and distilling info. However to determine trustworthiness of content material generated by such fashions, how can we actually know if a…

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