Artificial intelligence | MIT News | Massachusetts Institute of …
WEB2 days ago · A fast and flexible approach to help doctors annotate medical scans. “ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities. September 9, 2024. Read full story.
Artificial intelligence | MIT News | Massachusetts Institute of …
WEB3 days ago · Los Angeles Times. September 12, 2024. A new study by researchers from MIT and elsewhere has found that an AI chatbot is capable of combating conspiracy theories, reports Karen Kaplan for The Los Angeles Times. The researchers found that conversations with the chatbot made people “less generally conspiratorial,” says …
New hardware offers faster computation for artificial intelligence ...
WEBJul 28, 2022 · MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning systems that can train new and more powerful neural networks rapidly, which could be used for areas like self-driving cars, fraud ...
Explained: Generative AI | MIT News | Massachusetts Institute of …
WEBNov 9, 2023 · Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on. “When it comes to the actual machinery underlying generative AI and other types ...
AI accelerates problem-solving in complex scenarios - MIT News
WEBDec 5, 2023 · Researchers from MIT and ETZ Zurich have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions. Their approach could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid management.
Artificial intelligence | MIT News | Massachusetts Institute of …
WEBAug 14, 2024 · Creating and verifying stable AI-controlled systems in a rigorous and flexible way. Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines. July 17, 2024. Read full story.
MIT researchers advance automated interpretability in AI models
WEBJul 23, 2024 · Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science behind intelligence itself. Imagine if we could directly investigate the human brain by manipulating each of its individual neurons to examine their roles in perceiving a particular object.
The creative future of generative AI - MIT News
WEBJan 2, 2024 · The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater. It was part of the annual meeting for the Council for the Arts at MIT (CAMIT), a group of alumni and other supporters of the arts at MIT, and was co-presented by the MIT Center for Art, Science, and ...
Artificial intelligence sheds light on how the brain ... - MIT News
WEBOct 25, 2021 · Since the AI network didn't seek to mimic the brain directly — but does end up looking brain-like — this suggests that, in a sense, a kind of convergent evolution has occurred between AI and nature,” says Daniel Yamins, an assistant professor of psychology and computer science at Stanford University, who was not involved in the study.
A technique to improve both fairness and accuracy in artificial ...
WEBJul 20, 2022 · MIT researchers analyzed a technique designed to improve a machine-learning model’s overall accuracy, and found that it causes the model to make more errors on predictions for underrepresented subgroups in a dataset. They developed two algorithmic solutions that can mitigate these disparities.
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