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- Media Lab | MIT News | Massachusetts Institute of Technology
Bridging real human movement with digital technology MIT nano Immersion Lab collaborates with Emerson College students to advance the art of virtual production May 26, 2026 Read full story
- TeleAbsence: Poetic encounters with the past - MIT News
TeleAbsence, developed by MIT’s Tangible Media group, explores how memory-triggering technologies can communicate the “presence of absence” — offering comfort and emotional connection across time in the wake of death and grief, without replicating lost loved ones or selves
- Media Lab | MIT News | Massachusetts Institute of Technology
Professor Emeritus Barry Vercoe, a pioneering force in computer music, dies at 87 Widely known for his Synthetic Performer, Csound language, and work on the MPEG-4 audio standard, Vercoe positioned MIT as a hub for music technology through leadership roles with the Media Lab and Music and Theater Arts Section July 7, 2025 Read full story
- MIT Media Lab charts a course for the future
The MIT Media Lab is undergoing a process of reinvention as its makes changes to its organizational structure and works to rebuild a trusting and supportive culture through self-examination and group discourse
- Blending neuroscience, AI, and music to create mental health . . .
Musician and computational neuroscientist Kimaya Lecamwasam, a doctoral student in the MIT Media Lab program in Media Arts and Sciences, uses neuroscience, AI, and music to explore the impact of music on mental health and well-being
- Creating smart buildings with privacy-first sensors - MIT News
Butlr, founded by former MIT Media Lab researchers Jiani Zeng and Honghao Deng, uses insights from thermal sensors to make buildings more efficient and safe, without sacrificing privacy
- How Joseph Paradiso’s sensing innovations bridge the arts, medicine . . .
MIT Media Lab professor Joseph Paradiso pioneers wearable and environmental sensing technologies, bridging art, medicine, and ecology His interdisciplinary research transforms motion, health, and ecological data into real-world applications that connect people and understand the world
- Study could lead to LLMs that are better at complex reasoning
To improve adaptability of large language models to challenging tasks that require reasoning, MIT researchers found strategically applying a method known as test-time training with task-specific examples can boost the accuracy of an LLM more than sixfold
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