Category: Machine learning

Hashing is a core operation in most online databases, like a library catalogue or an e-commerce website. A hash function generates […]

Swift and significant gains against climate change require the creation of novel, environmentally benign, and energy-efficient materials. One of the richest […]

Peter Baddoo, an instructor in the Department of Mathematics, passed away suddenly on Feb. 15 while playing basketball on campus. Baddoo […]

“MIT is a place where dreams come true,” says César Terrer, an assistant professor in the Department of Civil and Environmental […]

It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean […]

Probabilistic machine learning methods are becoming increasingly powerful tools in data analysis, informing a range of critical decisions across disciplines and […]

Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting […]

With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability […]

If you’ve ever played soccer with a robot, it’s a familiar feeling. Sun glistens down on your face as the smell […]

Each year, MIT’s School of Engineering gives the Junior Bose Award to a junior faculty member who has made outstanding contributions […]

Materials known as metal-organic frameworks (MOFs) have a rigid, cage-like structure that lends itself to a variety of applications, from gas […]

Brian Nord first fell in love with physics when he was a teenager growing up in Wisconsin. His high school physics […]

The emergence of generative artificial intelligence has ignited a deep philosophical exploration into the nature of consciousness, creativity, and authorship. As […]

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of […]

The following was issued as a joint announcement from MIT.nano and the MIT Research Laboratory for Electronics; CubicPV; Verde Technologies; Princeton […]

MIT researchers are using artificial intelligence to design new proteins that go beyond those found in nature. They developed machine-learning algorithms […]

Martin Wainwright, the Cecil H. Green Professor in MIT’s departments of Electrical Engineering and Computer Science (EECS) and Mathematics, has been […]

Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to […]

When medical companies manufacture the pills and tablets that treat any number of illnesses, aches, and pains, they need to isolate […]

Researchers often use simulations when designing new algorithms, since testing ideas in the real world can be both costly and risky. […]

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the […]

As a car travels along a narrow city street, reflections off the glossy paint or side mirrors of parked vehicles can […]

According to MIT’s charter, established in 1861, part of the Institute’s mission is to advance the “development and practical application of […]

Citadel founder and CEO Ken Griffin had some free advice for an at-capacity crowd of MIT students at the Wong Auditorium […]

In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as […]

Words, data, and algorithms combine, An article about LLMs, so divine. A glimpse into a linguistic world, Where language machines are unfurled. It […]

Medical researchers are awash in a tsunami of clinical data. But we need major changes in how we gather, share, and […]

To study ocean currents, scientists release GPS-tagged buoys in the ocean and record their velocities to reconstruct the currents that transport […]

Today, the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) announced its ninth round of seed grants to support innovative […]

The advent of generative artificial intelligence models like ChatGPT has prompted renewed calls for AI in health care, and its support […]

A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same […]

Imagine you’re enjoying a picnic by a riverbank on a windy day. A gust of wind accidentally catches your paper napkin […]

Despite their enormous size and power, today’s artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems […]

Using an artificial intelligence algorithm, researchers at MIT and McMaster University have identified a new antibiotic that can kill a type […]

The “interdisciplinary approach” is something that has been lauded for decades for its ability to break down silos and create new […]

Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great […]

When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human […]

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio […]

Socrates once said: “It is not the size of a thing, but the quality that truly matters. For it is in […]

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, […]

There has been a remarkable surge in the use of algorithms and artificial intelligence to address a wide range of problems […]

In the film “Top Gun: Maverick,” Maverick, played by Tom Cruise, is charged with training young pilots to complete a seemingly […]

How are waves of disruptive technologies, such as more advanced versions of artificial intelligence systems, changing the way we work, live, […]

It was an uncharacteristically sunny morning as Marcela Angel MCP ’18, flanked by a drone pilot from the Boston engineering firm […]

The rapid advance of artificial intelligence has generated a lot of buzz, with some predicting it will lead to an idyllic […]

Taylor Baum knows that access is everything. So the fourth-year MIT PhD candidate in the Department of Electrical Engineering and Computer […]

The MIT-Pillar AI Collective has announced its first six grant recipients. Students, alumni, and postdocs working on a broad range of […]

“Sensing is all around you,” said MIT.nano Associate Director Brian W. Anthony at Ambient Sensing, a half-day symposium presented in May […]

When Erik Duhaime PhD ’19 was working on his thesis in MIT’s Center for Collective Intelligence, he noticed his wife, then […]

Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. Historically, these functions […]