Artificial intelligence | MIT News | Massachusetts Institute of …
WEB4 days ago · Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards. The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches. September 24, 2024. Read full story.
Artificial intelligence | MIT News | Massachusetts Institute of …
WEB6 days ago · Bloomberg News. September 30, 2024. MIT researchers have found that more workers without college degrees are optimistic about AI and automation initiatives in the workplace, than those workers with a college diploma, reports Rebecca Klar for Bloomberg Law. The study found “27.4% of workers without a …
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.
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 ...
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.
MIT group releases white papers on governance of AI
WEBDec 11, 2023 · Providing a resource for U.S. policymakers, a committee of MIT leaders and scholars has released a set of policy briefs that outlines a framework for the governance of artificial intelligence. The approach includes extending current regulatory and liability approaches in pursuit of a practical way to oversee AI.
Researchers enhance peripheral vision in AI models - MIT News
WEBMar 8, 2024 · Their co-authors include Mark Hamilton, an electrical engineering and computer science graduate student; Ayush Tewari, a postdoc; Simon Stent, research manager at the Toyota Research Institute; and senior authors William T. Freeman, the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science and a member of the Computer ...
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.