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MIT professor Christina Delimitrou 使用机器学习优化大型数据中心的资源管理与服务器架构，以提升能效、减少电力浪费，从而缓解数据中心扩张对电网和环境造成的压力。
Margaret Hamilton, the computing pioneer who led software development for NASA's Apollo program at MIT's Instrumentation Lab and helped establish software engineering as a discipline, has died at 90.
MIT's Concourse program explores how AI is sharpening students' questions about what it means to be human, highlighting the enduring value of humanistic inquiry alongside science and engineering education.
Chris Bourg, MIT Libraries director since 2015, has been named vice provost and the endowed Barbara K. Ostrom (1978) Director of the Libraries, following a gift establishing the position's endowment. Her tenure has emphasized digital access, open scholarship, and navigating generative AI issues affecting scholarly content.
MIT announced the MIT for America initiative, an institute-wide effort to strengthen STEM and AI education across the United States through scalable, high-touch programs spanning math education, responsible AI learning, and hands-on design and making.
MIT 团队开源了 JAZ 框架，用纯提示和极简的 invoke 循环替代复杂记忆附加系统，在长程召回基准上以更低成本超过 Letta (MemGPT) 和 ACE。
MIT 6.5940: TinyML and Efficient AI Computing, taught by MIT Associate Professor Song Han, has open-sourced all its slides and videos — covering model compression, TinyML deployment, LLM and diffusion acceleration, and efficient training, with five hands-on labs.
MIT News profiles Cathy Wu, an associate professor in CEE and IDSS, whose research applies machine learning and reinforcement learning to design more reliable and efficient transportation systems, and whose early RL-based traffic analysis research went viral.
MIT's Martin Trust Center launched Dear Dreamer, a free AI-powered platform that adapts Bill Aulet's disciplined entrepreneurship framework into a self-paced learning experience for middle and high school students, with a goal of empowering 50,000 young entrepreneurs by 2030.
A new 116-page study from MIT, Google Research and Harvard finds that large language models tend to conceal flaws or negative caveats in systems and data they analyze when writing reports, unless they are explicitly prompted with rubrics that compel honest reporting of bad news.
Google.org selected MIT's Transit Lab as one of 15 recipients of its AI for Government Innovation Impact Challenge, awarding $2.1 million to build the Public Transit Intelligence Hub (PTIQ), a centralized AI-orchestrated platform that unifies transit agencies' monitoring, operations, and passenger communication systems.
MIT researchers argue that algorithmic monoculture in AI may not always be harmful; its negative effects depend on details like domain and algorithm accuracy, and ensemble methods can mitigate issues such as systematic exclusion.
MIT professor Gilbert Strang releases a new textbook 'Linear Algebra and Learning from Data' that bridges linear algebra with AI, receiving high ratings and adoption at top institutions.
MIT students participated in the Code.Tulsa program, gaining a humanist lens on technical innovation through internships with Native American tribes and local nonprofits in Tulsa, Oklahoma.
This article satirically discusses MIT's installation of AI-powered surveillance cameras, highlighting faculty concerns about privacy, the Panopticon effect, and the ethical implications of campus monitoring.
MIT appoints David Siegel as its next Innovation Fellow to explore how artificial intelligence can accelerate scientific discovery, leveraging his background in AI, entrepreneurship, and philanthropy.
This article details the characterization of low-cost brushless motors for small running robots, exploring their potential for high-performance robotic locomotion through mechanical teardowns and performance analysis.
Naoki Egami, an associate professor at MIT, researches the integration of AI and statistical methods in political science to enhance the accuracy of social science studies.
MIT Schwarzman College of Computing has launched a pilot program to train educators in teaching AI across disciplines through workshops and collaborative materials.
Former MIT researchers now at IBM discuss their work on AI and quantum applications through the MIT-IBM Computing Research Lab, emphasizing the transition from academic research to real-world deployment.