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“FUTURE PHASES” showcases new frontiers in music technology and interactive performance | MIT News | Massachusetts Institute of Technology
"FUTURE PHASES," a groundbreaking concert held in the Edward and Joyce Linde Music Building at MIT, showcased new frontiers in music technology and interactive performance. The concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
New algorithms enable efficient machine learning with symmetric data | MIT News | Massachusetts Institute of Technology
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.
This “smart coach” helps LLMs switch between text and code | MIT News | Massachusetts Institute of Technology
CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.
MIT Learn offers “a whole new front door to the Institute” | MIT News | Massachusetts Institute of Technology
The AI-enabled MIT Learn is a hub for the Institute’s lifelong learning opportunities, offering over 12,700 educational resources — including introductory and advanced courses, courseware, videos, podcasts, and more — from departments across MIT.
The unique, mathematical shortcuts language models use to predict dynamic scenarios | MIT News | Massachusetts Institute of Technology
Instead of following dynamic situations like concentration games step-by-step, language models use mathematical shortcuts to make predictions. Engineers can control when these workarounds are used to help the systems make better predictions.
Robot, know thyself: New vision-based system teaches machines to understand their bodies | MIT News | Massachusetts Institute of Technology
A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL researchers, combines 3D scene reconstruction with embodied representation and closed-loop control.
School of Architecture and Planning recognizes faculty with academic promotions in 2025 | MIT News | Massachusetts Institute of Technology
MIT's School of Architecture and Planning announces faculty promotions for Carlo Ratti, Marcelo Coelho, Albert Saiz, Holly Samuelson, Deblina Sarkar, Rafi Segal, and Delia Wendel.
How to more efficiently study complex treatment interactions | MIT News | Massachusetts Institute of Technology
A new experimental design framework could enable scientists to efficiently estimate how combinations of interventions will affect a group of cells, reducing the cost of experiments and providing less biased data that could be used to understand disease mechanisms or develop new treatments.
New AI system uncovers hidden cell subtypes, boosts precision medicine | MIT News | Massachusetts Institute of Technology
MIT researchers led a collaborative project resulting in a new AI system (CellLENS) that reveals hidden patterns in cell behavior within tissues and builds a comprehensive digital profile of individual cells, offering deeper insights into cell heterogeneity, which is vital for advancing cancer immunotherapy.
AI shapes autonomous underwater “gliders” | MIT News | Massachusetts Institute of Technology
A new method from MIT CSAIL uses AI to explore underwater glider designs more conveniently. It first tests different 3D designs in a physics simulator, then molds them into more hydrodynamic shapes that can be fabricated via 3D printing.
Study could lead to LLMs that are better at complex reasoning | MIT News | Massachusetts Institute of Technology
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.
Exploring data and its influence on political behavior | MIT News | Massachusetts Institute of Technology
A new MIT course taught by Department of Political Science Professor Daniel Hidalgo, 17.831 (Data and Politics), is a practice-based class that helps students parse and understand data and politics.
New postdoctoral fellowship program to accelerate innovation in health care | MIT News | Massachusetts Institute of Technology
The MIT Health and Life Sciences Collaborative (MIT HEALS) is launching the Biswas Postdoctoral Fellowship Program to advance the work of outstanding early career researchers in health and life sciences.
Robotic probe quickly measures key properties of new materials | MIT News | Massachusetts Institute of Technology
An MIT robotic probe quickly measures photoconductance in new semiconductor materials. By dramatically increasing the speed at which scientists can characterize these materials, this system could spur the development of solar panels that produce more electricity.
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health | MIT News | Massachusetts Institute of Technology
MIT and Mass General Brigham (MGB) launched the MIT-MGB Seed Program, supported by a gift from Analog Devices, which will help advance research in human health, with the goal of developing next-generation therapies, diagnostics, and digital tools that can improve lives at scale.
Using generative AI to help robots jump higher and land safely | MIT News | Massachusetts Institute of Technology
MIT CSAIL researchers use a generative AI model to improve particular parts of 3D robot designs, helping them jump higher and land safely. The system refines its ideas in simulation before drafting a machine potentially useful in homes or factories.
Merging AI and underwater photography to reveal hidden ocean worlds | MIT News | Massachusetts Institute of Technology
An MIT Sea Grant initiative uses custom generative AI and underwater photography to create images of marine life. LOBSTgER (Learning Oceanic Bioecological Systems Through Generative Representations) was built by PhD student Andreas Mentzelopoulos and trained on photography by Keith Ellenbogen.
LLMs factor in unrelated information when recommending medical treatments | MIT News | Massachusetts Institute of Technology
An MIT study finds non-clinical information in patient messages, like typos, extra whitespace, or colorful language, can reduce the accuracy of a large language model deployed to make treatment recommendations. The LLMs were consistently less accurate for female patients, even when all gender markers were removed from the text.
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event | MIT News | Massachusetts Institute of Technology
The MIT Generative AI Impact Consortium presents cross-Institute proposals targeted at high-impact intersections of AI and other disciplines to meaningfully benefit society.
A sounding board for strengthening the student experience | MIT News | Massachusetts Institute of Technology
Representing a broad swath of both traditional and blended majors in electrical engineering and computer science and other computing-related programs at MIT, the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.
Combining technology, education, and human connection to improve online learning | MIT News | Massachusetts Institute of Technology
MIT MAD Fellow Caitlin Morris draws on her background in design, psychology, and community learning to study how social dynamics shape curiosity and motivation in digital and AI-assisted education. Her work bridges design, education, and technology.
Unpacking the bias of large language models | MIT News | Massachusetts Institute of Technology
MIT researchers discovered the underlying cause of position bias, a phenomenon that causes large language models to overemphasize the beginning or end of a document or conversation, while neglecting the middle. They built a theoretical framework that can be used to diagnose and correct position bias in future model designs, leading to more accurate, reliable AI agents.
Celebrating an academic-industry collaboration to advance vehicle technology | MIT News | Massachusetts Institute of Technology
MIT AgeLab’s Advanced Vehicle Technology Consortium, part of the MIT Center for Transportation and Logistics, celebrated 10 years of academic-industry collaboration with discussions on artificial intelligence, automotive technology, collision repair, consumer behavior, sustainability, vehicle safety policy, and global competitiveness.
Have a damaged painting? Restore it in just hours with an AI-generated “mask” | MIT News | Massachusetts Institute of Technology
A new method uses AI to physically restore a damaged painting much more quickly than what’s possible using manual techniques. A digitally generated “mask” in the form of thin film is applied directly to the original painting, and can also be easily removed.
Photonic processor could streamline 6G wireless signal processing | MIT News | Massachusetts Institute of Technology
MIT researchers developed a photonic AI hardware accelerator designed specifically to handle wireless signal processing, reducing latency. Their architecture encodes and processes data using light to dramatically accelerate deep learning computations on an edge device.
Melding data, systems, and society | MIT News | Massachusetts Institute of Technology
“Data, Systems, and Society: Harnessing AI for Societal Good,” a book by MIT Professor Munther Dahleh, details the creation of the MIT Institute for Data, Systems and Society, a unique transdisciplinary center that unites many specialties through a common need for data science.
Helping machines understand visual content with AI | MIT News | Massachusetts Institute of Technology
Coactive, founded by MIT alumni Cody Coleman and William Gaviria Rojas, has built an AI-powered platform to help companies understand their visual content without relying on manual sorting and tagging.
Envisioning a future where health care tech leaves some behind | MIT News | Massachusetts Institute of Technology
MIT PhD candidate Annaliese Meyer's winning essay of the Social and Ethical Responsibilities of Computing's Envisioning the Future of Computing prize imagined a dystopian for-profit future for health-care access.
AI-enabled control system helps autonomous drones stay on target in uncertain environments | MIT News | Massachusetts Institute of Technology
A new adaptive control system for autonomous drones minimizes trajectory tracking error. It uses AI to approximate the unknown forces that could affect the drone’s flight path and automatically pick an optimization algorithm that best suits the problem at hand.