Machine learning | MIT News | Massachusetts Institute of …
WEB5 days ago · How AI is improving simulations with smarter sampling techniques. MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy. October 2, 2024. Read full story.
AI accelerates problem-solving in complex scenarios - MIT News
WEBDec 5, 2023 · Researchers from MIT and ETH Zurich have developed a new, data-driven machine-learning technique that 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 …
WEB5 days ago · How AI is improving simulations with smarter sampling techniques. MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy. October 2, 2024. Read full story.
Demystifying machine-learning systems - MIT News
WEBJan 27, 2022 · MIT researchers created a technique that can automatically describe the roles of individual neurons in a neural network with natural language, helping machine learning practitioners better understand how their model will behave in the real world.
New hardware offers faster computation for artificial intelligence ...
WEBJul 28, 2022 · A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage. Programmable resistors are the key building blocks in analog deep learning, just like transistors are …
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.
Researchers enhance peripheral vision in AI models - MIT News
WEBMar 8, 2024 · A dataset of transformed images can be used to effectively simulate peripheral vision in a machine-learning model, improving the performance of these models on detecting and recognizing objects that are off to the side or in the corner of a scene.
Scientists use generative AI to answer complex questions in
WEBMay 16, 2024 · Researchers from MIT and the University of Basel in Switzerland applied generative artificial intelligence models to this problem, developing a new machine-learning framework that can automatically map out phase diagrams for novel physical systems.
In bias we trust? | MIT News | Massachusetts Institute of Technology
WEBJun 1, 2022 · MIT researchers find the explanation methods designed to help users determine whether to trust a machine-learning model’s predictions can perpetuate biases and lead to less accurate predictions for people from disadvantaged groups.
Machine learning | MIT News | Massachusetts Institute of …
WEBOct 2, 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.