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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Teaching AI models the broad strokes to sketch more like humans do | MIT News | Massachusetts Institute of Technology
The SketchAgent drawing system can make simple sketches stroke-by-stroke, turning natural-language prompts into drawings in a few seconds, or taking turns doodling individual parts of a concept with a human.
AI stirs up the recipe for concrete in MIT study | MIT News | Massachusetts Institute of Technology
A new artificial intelligence framework has identified cement alternatives to enhance concrete environmental and cost performance. The work was led by Soroush Mahjoubi, a postdoc in the MIT Concrete Sustainability Hub and Olivetti Group.
An anomaly detection framework anyone can use | MIT News | Massachusetts Institute of Technology
MIT PhD candidate Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more accessible, transparent, and trustworthy.
MIT announces the Initiative for New Manufacturing | MIT News | Massachusetts Institute of Technology
MIT launched its Initiative for New Manufacturing, an Institute-wide effort to help infuse U.S. industrial production with leading-edge technologies, while creating good jobs. The initiative will encompass advanced research, education programs, and partnership with companies across many sectors, in a bid to help transform manufacturing and elevate its impact.
Learning how to predict rare kinds of failures | MIT News | Massachusetts Institute of Technology
MIT researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling. They combine sparse data about a rare failure with much more extensive data on normal operations to work backwards and try to pinpoint the root causes.
AI learns how vision and sound are connected, without human intervention | MIT News | Massachusetts Institute of Technology
A new machine-learning model learns to pinpoint exactly where a particular sound occurs in a video clip without the need for human intervention. The model could have applications in areas like journalism and film production or education and training.
With AI, researchers predict the location of virtually any protein within a human cell | MIT News | Massachusetts Institute of Technology
A new machine learning method can automatically predict the location of a protein in any human cell line down to the single-cell level, given a relevant amino acid sequence. This advance could help clinicians identify certain diseases, streamline the process of drug discovery, and give biologists new insights into the effects of protein mutations.
MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work | MIT News | Massachusetts Institute of Technology
The MIT Economics department will launch the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work, led by Daron Acemoglu and co-directors David Autor and Simon Johnson, to advance cutting-edge research and inform policy.
Study shows vision-language models can’t handle queries with negation words | MIT News | Massachusetts Institute of Technology
MIT researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like “no” and “not.” This could cause them to fail unexpectedly when asked to retrieve medical images that contain certain objects but not others.