For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.

MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.

The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.

Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.

Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.

The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.

New initiative is convening leading companies and nonprofits with support from Google’s Community Grants Fund.

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.

The new approach “nudges” existing climate simulations closer to future reality.

Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.

FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.

Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.

MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.

By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.

Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.

MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.

Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.

The MIT seniors will pursue graduate studies at Cambridge University.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.

MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.

Alumni-founded Pienso has developed a user-friendly AI builder so domain experts can build solutions without writing any code.

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.

Autonomous helicopters made by Rotor Technologies, a startup led by MIT alumni, take the human out of risky commercial missions.

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.

Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.