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A collaborative network of makerspaces has spread from MIT across the country, helping communities make their own products.

Speaking at MIT, Rasmussen detailed the company’s manufacturing footprint, and the importance of balancing innovation, cost efficiency, and sustainability.

More than 1 million people are contributing their data to Vana’s decentralized network, which started as an MIT class project.

A new study finds natural and invented languages elicit similar responses in the brain’s language-processing network.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

Psychologist Bia Adams discovered a passion for computational neuroscience thanks to open-access MIT educational resources.

Eighth consecutive top spot reflects global excellence in education and research.

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.

New findings illuminate how Prochlorococcus’ nightly “cross-feeding” plays a role in regulating the ocean’s capacity to cycle and store carbon.

This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.

National Science Foundation grant expected to help New England researchers translate discoveries to commercial technology.

A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

The nodes are intended to become part of a widespread sea-ice monitoring network.

United Kingdom Supply Chain and Logistics Excellence Centre (UK SCALE) joins prestigious international network to advance global supply chain and logistics innovation.

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

New research addresses a gap in understanding how ketamine’s impact on individual neurons leads to pervasive and profound changes in brain network function.

The Engine Accelerator offers “tough tech” startups space, support, and a network to help them scale up.

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

An MIT study of polyglots found the brain’s language network responds more strongly when hearing languages a speaker is more proficient in — and much more weakly to the speaker’s native language.

PRISM, developed by MIT CSAIL, is a pancreatic cancer risk prediction model using a vast, federated network of electronic health records from numerous U.S. healthcare organizations.

Sentences with greater linguistic complexity are most likely to fire up a key brain language processing center, according to an MIT study that employed an artificial language network.

SecureLoop is an MIT-developed search engine that can identify an optimal design for a deep neural network accelerator that preserves data security while improving energy efficiency and boosting performance. This could enable device manufacturers to increase the speed of demanding AI applications, w...

MIT Lincoln Laboratory is developing a roadmap to achieve unified modernization across the Southwestern U.S. military test and training ranges. The goal is to create a more network-centric infrastructure, streamlining government system acquisitions and facilitating connectivity between the ranges.

MIT researchers discovered that congestion control algorithms designed to ensure multiple users sending data over a network do so fairly are actually unable to avoid situations where some users are hogging all the bandwidth.

A machine learning model called VALHALLA uses a trained neural network to understand and digest a source sentence in one language, hallucinate an image of what that sentence describes, and translate into a target language. The work was led by researchers from MIT, IBM, and UC San Diego.

MIT researchers created a technique that can automatically describe the roles of individual neurons in a neural network with natural language, helping machine learning practitioners better understand how their model will behave in the real world.

Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to ...

Computer scientists have developed a way to preserve a network when the fiber is down. The ARROW system reconfigures optical light from a damaged fiber to healthy ones.

MIT researchers have run a comparison of the four largest global satellite meganetwork proposals, from SpaceX, Telesat, OneWeb, and Amazon. They found that each network, which would comprise thousands of satellites, could beam down tens of terabits per second, filling gaps left by land-based service...

MIT researchers have created the first fabric-fiber to have digital capabilities, ready to collect, store and analyze data using a neural network.

MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. The advance could boost analysis of social networks, recommendation algorithms, and internet search.

MIT neuroscientists have found reading computer code does not rely on the regions of the brain involved in language processing. Instead, it activates the “multiple demand network,” which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.

MIT researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output. The advance could enhance safety and efficiency in AI-assisted decision making, with applications ranging from medical diagnosis to autonomous driving.

MIT astronomers have discovered an Earth-sized “pi planet,” which orbits its star every 3.14 days. The researchers first discovered signals of the planet in data taken by the NASA Kepler Space Telescope’s K2 mission, and then zeroed in with the SPECULOOS network of ground-based telescopes.

A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.

TX-GAIA is tailor-made for crunching through deep neural network operations.

“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure.

Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.

The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.

A neural network can read scientific papers and render a plain-English summary.

Design reduces by 99 percent the data users need to join the network and verify transactions.

Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.

Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.

Neural network learns speech patterns that predict depression in clinical interviews.

Machine learning network offers personalized estimates of children’s behavior.