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MIT News - Artificial intelligence - Software
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How to build AI scaling laws for efficient LLM training and budget maximization | MIT News | Massachusetts Institute of Technology
MIT and MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models (LLMs) will perform based on smaller models in the same family.
Machine-learning tool gives doctors a more detailed 3D picture of fetal health | MIT News | Massachusetts Institute of Technology
MIT CSAIL researchers developed Fetal SMPL, a novel tool that can accurately model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.
DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions | MIT News | Massachusetts Institute of Technology
MIT has been selected by the U.S. Department of Energy to host a new research center. The MIT Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions (CHEFSI) will advance the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry.
AI and machine learning for engineering design | MIT News | Massachusetts Institute of Technology
In MIT course 2.155/156 (AI and Machine Learning for Engineering Design), students use tools and techniques from artificial intelligence and machine learning for mechanical engineering design, focusing on the creation of new products and addressing engineering design challenges.
A greener way to 3D print stronger stuff | MIT News | Massachusetts Institute of Technology
The “SustainaPrint” software and hardware toolkit from MIT CSAIL strengthens only the weakest parts of eco-friendly objects. It analyzes a model to predict stress areas, supporting them while the rest of the part can be printed using greener, weaker filament.
3 Questions: The pros and cons of synthetic data in AI | MIT News | Massachusetts Institute of Technology
MIT researcher Kalyan Veeramachaneni describes the pros and cons of using synthetic data, which are artificially generated by algorithms, to build and test AI applications and train machine-learning models.
A new generative AI approach to predicting chemical reactions | MIT News | Massachusetts Institute of Technology
The new FlowER generative AI system may improve the prediction of chemical reactions. The approach, developed at MIT, could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
3 Questions: On biology and medicine’s “data revolution” | MIT News | Massachusetts Institute of Technology
MIT Professor Caroline Uhler, director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, describes the "data revolution" currently happening in biology and medicine.
MIT researchers develop AI tool to improve flu vaccine strain selection | MIT News | Massachusetts Institute of Technology
MIT's “VaxSeer” AI system predicts dominant flu strains months ahead and identifies the most protective vaccine candidates. It uses deep learning models that were trained on viral sequences and lab test results to potentially make vaccine selection more accurate.
Simpler models can outperform deep learning at climate prediction | MIT News | Massachusetts Institute of Technology
Simple climate prediction models can outperform deep-learning approaches when predicting future temperature changes, but deep learning has potential for estimating more complex variables like rainfall, according to an MIT study.
New technologies tackle brain health assessment for the military | MIT News | Massachusetts Institute of Technology
MIT Lincoln Laboratory researchers are building rapid brain health screening capabilities for military service members. The screening tests can easily be administered on existing smartphone, tablet, and VR platforms.
How AI could speed the development of RNA vaccines and other RNA therapies | MIT News | Massachusetts Institute of Technology
Using artificial intelligence, MIT researchers can design nanoparticles that more efficiently deliver RNA vaccines and other types of RNA therapies. This approach could dramatically speed the process of developing new RNA vaccines, as well as RNA therapies that could be used to treat obesity, diabetes, and other metabolic disorders.
Researchers glimpse the inner workings of protein language models | MIT News | Massachusetts Institute of Technology
MIT researchers used sparse autoencoders to shed light on the inner workings of protein language models, an advance that could streamline the process of identifying new drugs or vaccine targets.
MIT gears up to transform manufacturing | MIT News | Massachusetts Institute of Technology
MIT’s Initiative for New Manufacturing (INM) is driving a national transformation in manufacturing by integrating advanced technologies, fostering cross-sector collaboration, and expanding workforce development. INM brings together academia, industry, and government to scale impact from research to real-world production.
A new model predicts how molecules will dissolve in different solvents | MIT News | Massachusetts Institute of Technology
Using machine learning, MIT chemical engineers created a computational model that can predict how well a given molecule will dissolve in an organic solvent. This type of prediction could make it much easier to develop new ways to produce pharmaceuticals and other useful molecules.
A new way to test how well AI systems classify text | MIT News | Massachusetts Institute of Technology
Automated online conversations made by text classifiers are becoming more prevalent. Now, an MIT team led by Kalyan Veeramachaneni has come up with an innovative approach to not only measuring how well these classifiers are doing their job, but going one step further to make them more accurate.
Using generative AI, researchers design compounds that can kill drug-resistant bacteria | MIT News | Massachusetts Institute of Technology
With help from artificial intelligence, MIT researchers designed novel antibiotics that can combat a drug-resistant form of Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).
Eco-driving measures could significantly reduce vehicle emissions | MIT News | Massachusetts Institute of Technology
Implementing co-driving techniques, like the use of intelligent speed controls to mitigate congestion at traffic lights, can significantly reduce intersection carbon dioxide emissions without impacting traffic throughput or safety, according to new MIT research.
MIT tool visualizes and edits “physically impossible” objects | MIT News | Massachusetts Institute of Technology
The “Meschers” tool from MIT CSAIL represents “physically impossible” objects commonly found in M.C. Escher’s illustrations by converting both images and 3D models in 2.5-dimensional objects. The tool helps users relight, smooth, and study the unique geometries of these optical illusions.
“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.
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.
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.
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.
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.