Probabilistic AI that knows how well it’s working

Despite their enormous size and power, today's artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestrians and emergency vehicles right in front of them, with fatal consequences. Conversational AI systems …

Researchers use AI to identify similar materials in images

A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same materials. With this knowledge, the robot would know to exert a similar amount of force whether it picks up …

Using data to write songs for progress

A three-year recipient of MIT’s Emerson Classical Vocal Scholarships, senior Ananya Gurumurthy recalls getting ready to step onto the Carnegie Hall stage to sing a Mozart opera that she once sang with the New York All-State Choir. The choir conductor …

Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

The advent of generative artificial intelligence models like ChatGPT has prompted renewed calls for AI in health care, and its support base only appears to be broadening.

The second annual MIT-MGB AI Cures Conference, hosted on April 24 by the …

A better way to study ocean currents

To study ocean currents, scientists release GPS-tagged buoys in the ocean and record their velocities to reconstruct the currents that transport them. These buoy data are also used to identify “divergences,” which are areas where water rises up from below …

3 Questions: Jacob Andreas on large language models

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

It was a natural inclination to task a large language model (LLM) like CHATGPT with creating a poem

Study: AI models fail to reproduce human judgements about rule violations

In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content policies.

But researchers from MIT and elsewhere have found that these …

Success at the intersection of technology and finance

Citadel founder and CEO Ken Griffin had some free advice for an at-capacity crowd of MIT students at the Wong Auditorium during a campus visit in April. “If you find yourself in a career where you’re not learning,” he told …

Training machines to learn more like humans do

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as …

Researchers create a tool for accurately simulating complex systems

Researchers often use simulations when designing new algorithms, since testing ideas in the real world can be both costly and risky. But since it’s impossible to capture every detail of a complex system in a simulation, they typically collect a …

AI system can generate novel proteins that meet structural design targets

MIT researchers are using artificial intelligence to design new proteins that go beyond those found in nature.

They developed machine-learning algorithms that can generate proteins with specific structural features, which could be used to make materials that have certain mechanical …

Drones navigate unseen environments with liquid neural networks

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation: drones. But these aren’t your typical …

MIT CSAIL researchers discuss frontiers of generative AI

The emergence of generative artificial intelligence has ignited a deep philosophical exploration into the nature of consciousness, creativity, and authorship. As we bear witness to new advances in the field, it’s increasingly apparent that these synthetic agents possess a remarkable …

A four-legged robotic system for playing soccer on various terrains

If you've ever played soccer with a robot, it's a familiar feeling. Sun glistens down on your face as the smell of grass permeates the air. You look around. A four-legged robot is hustling toward you, dribbling with determination. 

While …

Speeding up drug discovery with diffusion generative models

With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to generate a series of absurd, breathtaking, and often meme-worthy images from text prompts like “teddy bears working on …

A method for designing neural networks optimally suited for certain tasks

Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to diagnosing whether a patient has a …

Learning to grow machine-learning models

It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean sonnets or debug code for a computer program. These abilities are made possible by the massive machine-learning model that …

New method accelerates data retrieval in huge databases

Hashing is a core operation in most online databases, like a library catalogue or an e-commerce website. A hash function generates codes that directly determine the location where data would be stored. So, using these codes, it is easier to …

MIT professor to Congress: “We are at an inflection point” with AI

Government should not “abdicate” its responsibilities and leave the future path of artificial intelligence solely to Big Tech, Aleksander Mądry, the Cadence Design Systems Professor of Computing at MIT and director of the MIT Center for Deployable Machine Learning, told …

Matthew Kearney: Bringing AI and philosophy into dialogue

Matthew Kearney was drawn to MIT by the culture of its cross-country team. Growing up in Austin, Texas, he loved spending time outdoors and playing soccer, but by high school running had become his primary sport. While looking at colleges, …

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