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MIT's Kai-Ming He team released ELF, a new language model that uses diffusion processes in continuous vector space for text generation, bypassing standard autoregressive architectures and significantly reducing data requirements.
MIT Open Learning has launched 'Universal AI,' an online, self-paced program designed to make AI fluency accessible to a global, non-technical audience through modular courses and adaptive tools.
MIT Open Learning launches 'Universal Learning,' a new initiative using the MIT Learn platform and AskTIM AI assistant to expand global access to interdisciplinary education, starting with a Universal AI program.
MIT released FINGERS-7B, a 7-billion-parameter multi-omics foundation model trained on data from 30,000 individuals to predict Alzheimer's risk years in advance. The model is accessible via the AD Workbench and is accompanied by a research paper on OpenReview.
The article highlights research from the Weissman lab at MIT, praising their recent contributions.
The author shares an experience in an MIT AI Agent course, reflecting on the reasons for abandoning a project aimed at connecting AI agents to hardware, and criticizes a competing project that won high praise from judges and VCs merely by integrating and packaging a simple robotic arm interface.
An MIT study reveals that firms often use automation to replace workers with wage premiums rather than to maximize productivity, significantly contributing to income inequality and limiting overall economic growth.
MIT professor Gabriele Farina is advancing AI decision-making by combining game theory with machine learning, building on his earlier work with the diplomatic AI Cicero.
This article profiles MIT senior Olivia Honeycutt, highlighting her interdisciplinary research at the intersection of linguistics, computation, and cognition, with a focus on comparing human language processing with large language models.
MIT President Sally Kornbluth discusses the critical importance of curiosity-driven basic science and the challenges posed by uncertain funding and endowment taxes in a podcast interview.
Researchers from MIT, WPI, and Google propose WRING, a novel post-processing debiasing method for Vision-Language Models that avoids the 'Whac-a-mole dilemma' of amplifying other biases when removing specific ones.
MIT and the IMO release MathNet, a massive dataset of International Math Olympiad problems and solutions spanning 40 years and 40+ countries, 5x larger than prior datasets.
MIT students turned an entire building into a playable giant Tetris by fitting every window with LEDs.
Jacob Andreas and Brett McGuire have been named winners of the 2026 Harold E. Edgerton Faculty Achievement Award at MIT for their exceptional contributions to research, teaching, and service.
OpenProtein.AI, founded by MIT researchers Tristan Bepler and Tim Lu, has launched a no-code platform to democratize access to advanced AI models for protein design and engineering among biologists.
MIT SHASS Dean Agustín Rayo discusses the role of humanities and social sciences in preparing students for the age of AI, emphasizing critical thinking and moral judgment over technical adaptation.
MIT Lincoln Laboratory is developing algorithms and hardware for human-AUV teaming to improve underwater navigation and perception in murky conditions for military missions.
Michal Masny, an MIT fellow, argues that work provides intrinsic value beyond income and advocates for integrating philosophical ethics into technology education to address the 'wisdom gap'.
MIT Assistant Professor Dean Price discusses his work in nuclear engineering, focusing on multiphysics modeling to advance the safety and reliability of small modular and microreactors.
Mariano Salcedo, a student at MIT's new Music Technology and Computation Graduate Program, is using neural cellular automata to generate self-regenerating visuals driven by music audio streams.