To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Read MoreFour new professors join the Department of Architecture and MIT Media Lab.
Read MoreThe AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.
Read MoreA team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
Read MoreResearchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Read MorePresentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Read MoreCaitlin Morris, a PhD student and 2024 MAD Fellow affiliated with the MIT Media Lab, designs digital learning platforms that make room for the “social magic” that influences curiosity and motivation.
Read MoreIn a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Read MoreThe MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
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