Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers do to help mitigate its environmental impact.
As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers do to help mitigate its environmental impact.
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
Read MoreA new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Read MoreThe 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.
Read MoreThe software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
Read MoreA new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
Read MoreThe challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data
Read MoreWith decades of experience working across the laboratory’s R&D areas, Choi brings a focus on collaboration, technical excellence, and unity.
Read MoreThe award recognizes his contributions as director of MIT Lincoln Laboratory and as vice chair and chair of the Defense Science Board.
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