Category: Machine learning

Neurodegenerative diseases — like amyotrophic lateral sclerosis (ALS, or Lou Gehrig’s disease), Alzheimer’s, and Parkinson’s — are complicated, chronic ailments that […]

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to […]

MIT is famous as a factory of ideas. You could also call MIT a factory for learning. But for one group […]

Ask a smart home device for the weather forecast, and it takes several seconds for the device to respond. One reason […]

Topological materials, an exotic class of materials whose surfaces exhibit different electrical or functional properties than their interiors, have been a […]

AI image generators, which create fantastical sights at the intersection of dreams and reality, bubble up on every corner of the […]

Imagine the booming chords from a pipe organ echoing through the cavernous sanctuary of a massive, stone cathedral. The sound a […]

Fusion, which promises practically unlimited, carbon-free energy using the same processes that power the sun, is at the heart of a […]

Neural networks, a type of computing system loosely modeled on the organization of the human brain, form the basis of many […]

Teaching a machine to recognize human actions has many potential applications, such as automatically detecting workers who fall at a construction […]

It’s a dilemma as old as time. Friday night has rolled around, and you’re trying to pick a restaurant for dinner. […]

Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class […]

Many students in MIT’s Leaders for Global Operations (LGO) program return to the workplace primed to tackle complex operational problems. But […]

Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other […]

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training […]

MIT senior Teresa Gao has been named one of the 12 winners of the George J. Mitchell Scholarship’s Class of 2024. […]

Knowing the magnetic structure of crystalline materials is critical to many applications, including data storage, high-resolution imaging, spintronics, superconductivity, and quantum […]

As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers […]

Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like […]

As a graduate student doing his master’s thesis on speech recognition at the MIT AI Lab (now the MIT Computer Science […]

For the first time, researchers at MIT, Caltech, Harvard University, and elsewhere sent quantum information across a quantum system in what […]

Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that strongly encouraged […]

Launched in October 2020, the MIT and Accenture Convergence Initiative for Industry and Technology underscores the ways in which industry and […]

Sketch a doodle of a drum or a saxophone to conjure a multi-instrumental composition. Look into a webcam, speak, and watch […]

It’s no secret that people harbor biases — some unconscious, perhaps, and others painfully overt. The average person might suppose that […]

Functional magnetic resonance imaging (fMRI), which measures changes in blood flow throughout the brain, has been used over the past couple […]

Cognitive scientists have long sought to understand what makes some sentences more difficult to comprehend than others. Any account of language […]

The way electrons interact with photons of light is a key part of many modern technologies, from lasers to solar panels […]

Have you ever been advised to “walk a mile in someone else’s shoes?” Considering another person’s perspective can be a challenging […]

When deep learning models are deployed in the real world, perhaps to detect financial fraud from credit card activity or identify […]

How does an ensemble play music together while apart? This was the question facing Frederick Ajisafe and the rest of the […]

The MIT-Takeda Program, a collaboration between MIT’s School of Engineering and Takeda Pharmaceuticals Company, fuels the development and application of artificial […]

In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate […]

Taking what they learned conceptually about artificial intelligence and machine learning (ML) this year, students from across the Greater Boston area […]

The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied […]

Research, education, and connection in the face of war #Machinelearning According to Hacker.top Team researched from news.mit.edu

In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, […]

Gel-like materials that can be injected into the body hold great potential to heal injured tissues or manufacture entirely new tissues. […]

One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — […]

Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained […]

Companies today are incorporating artificial intelligence into every corner of their business. The trend is expected to continue until machine-learning models […]

Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting […]

For decades, airports around the nation have employed sensitive canine noses to detect concealed explosives. While this four-legged fleet has been […]

In 2020, the School of Engineering and Takeda Pharmaceutical Company launched the MIT-Takeda Program, which aims to leverage the experience of […]

In 2010, Phiala Shanahan was an undergraduate at the University of Adelaide, wrapping up a degree in computational physics, when she […]

In a packed room in MIT’s Stata Center, hundreds of digital robots collide across a giant screen projected at the front […]

Turns out, even language models “think” they’re biased. When prompted in ChatGPT, the response was as follows: “Yes, language models can […]

A new study from researchers at MIT and Brown University characterizes several properties that emerge during the training of deep classifiers, […]

One of the 12 labors of Hercules, according to ancient lore, was to destroy a nine-headed monster called the Hydra. The […]

Government should not “abdicate” its responsibilities and leave the future path of artificial intelligence solely to Big Tech, Aleksander Mądry, the […]