Two studies pinpoint their likely industrial sources and mitigation opportunities.

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

The planet’s wild orbit offers clues to how such large, hot planets take shape.

The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.

A new technique enables users to compare several large models and choose the one that works best for their task.

Bernardo Picão, a graduate student in physics, has turned to MIT Open Learning’s resources throughout his educational journey.

Propofol, a drug commonly used for general anesthesia, derails the brain’s normal balance between stability and excitability.

New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

Ammonia could be a nearly carbon-free maritime fuel, but without new emissions regulations, its impact on air quality could significantly impact human health.

While women and men self-reported similar vaccination rates, unvaccinated women had less intention to get vaccinated than men.

A chip the size of a pack of cards uses fewer resources and a smaller footprint than existing automated manufacturing platforms and could lead to more affordable cell therapy manufacturing.

A study by MIT scientists supports “social good” as a cognitive approach to dealing with highly stressful events.

New findings challenge current thinking on the ocean’s role in storing carbon.

This new tool offers an easier way for people to analyze complex tabular data.

By helping microbes withstand industrial processing, the method could make it easier to harness the benefits of microorganisms used as medicines and in agriculture.

A national bottle deposit fee could make a dramatic difference in reducing plastic waste, MIT researchers report.

Rising superpowers like China are “cautious opportunists” in global institutions, and the U.S. should avoid overreaction, PhD student Raymond Wang argues.

The new design approach could be used to produce metals with exceptional combinations of strength and ductility, for aerospace and other applications.

This tiny, biocompatible sensor may overcome one of the biggest hurdles that prevent the devices from being completely implanted.

A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles.

The newly synthesized material could be the basis for wearable thermoelectric and spintronic devices.

These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.

Using this new approach, researchers could develop drug compounds with unique pharmaceutical properties.

Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.

A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.

This novel circuit architecture cancels out unwanted signals at the earliest opportunity.

New findings could help engineers design materials for light and heat management.

The building will serve as a hub for research on the development of immunology-based treatments.

MIT researchers find wave activity on Saturn’s largest moon may be strong enough to erode the coastlines of lakes and seas.

This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.

Three innovations by an MIT-based team enable high-resolution, high-throughput imaging of human brain tissue at a full range of scales, and mapping connectivity of neurons at single-cell resolution.

LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.

The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.

New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.

With their “T-REX” method, DNA embedded in the polymer could be used for long-term storage of genomes or digital data such as photos and music.

MIT neuroscientists have found that the brain uses the same cognitive representations whether navigating through space physically or mentally.

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.

The technique characterizes a material’s electronic properties 85 times faster than conventional methods.

Researchers created a water-soluble version of an important bacterial enzyme, which can now be used in drug screens to identify new antibiotics.

Smaller than a coin, this optical device could enable rapid prototyping on the go.

Discounting calculations are ubiquitous today — thanks partly to the English clergy who spread them amid turmoil in the 1600s, an MIT scholar shows.

In the first quintillionth of a second, the universe may have sprouted microscopic black holes with enormous amounts of nuclear charge, MIT physicists propose.

The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.

By capturing short-lived RNA molecules, scientists can map relationships between genes and the regulatory elements that control them.

MIT engineers’ implantable ImPULS device could become an alternative to the electrodes now used to treat Parkinson’s and other diseases.