Category: Machine learning

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to […]

Artificial intelligence meets “blisk” in new DARPA-funded collaboration #Machinelearning According to Hacker.top Team researched from news.mit.edu

Most doctors go into medicine because they want to help patients. But today’s health care system requires that doctors spend hours each […]

Industrial electrochemical processes that use electrodes to produce fuels and chemical products are hampered by the formation of bubbles that block […]

Imagine you’re tasked with sending a team of football players onto a field to assess the condition of the grass (a […]

The German philosopher Fredrich Nietzsche once said that “invisible threads are the strongest ties.” One could think of “invisible threads” as […]

In 1994, Florida jewelry designer Diana Duyser discovered what she believed to be the Virgin Mary’s image in a grilled cheese […]

Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to the […]

A new, multidisciplinary MIT graduate program in music technology and computation will feature faculty, labs, and curricula from across the Institute. The […]

Imagine having to straighten up a messy kitchen, starting with a counter littered with sauce packets. If your goal is to […]

The pharmaceutical manufacturing industry has long struggled with the issue of monitoring the characteristics of a drying mixture, a critical step […]

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, […]

Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally […]

For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, […]

A new study from researchers at MIT and Penn State University reveals that if large language models were to be used […]

To the untrained eye, a medical image like an MRI or X-ray appears to be a murky collection of black-and-white blobs. […]

Ever been asked a question you only knew part of the answer to? To give a more informed response, your best […]

This summer, 350 participants came to MIT to dive into a question that is, so far, outpacing answers: How can education […]

In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands of […]

As artificial intelligence agents become more advanced, it could become increasingly difficult to distinguish between AI-powered users and real humans on […]

The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in […]

Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, […]

Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system […]

In late 2023, the first drug with potential to slow the progression of Alzheimer’s disease was approved by the U.S. Federal Drug […]

At the top of many automation wish lists is a particularly time-consuming task: chores.  The moonshot of many roboticists is cooking […]

Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen resumes […]

People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However, despite […]

As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, […]

One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be applied. […]

As the name suggests, most electronic devices today work through the movement of electrons. But materials that can efficiently conduct protons […]

Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast […]

The concept of short-range order (SRO) — the arrangement of atoms over small distances — in metallic alloys has been underexplored […]

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, […]

It is estimated that about 70 percent of the energy generated worldwide ends up as waste heat. If scientists could better […]

Foundation models are massive deep-learning models that have been pretrained on an enormous amount of general-purpose, unlabeled data. They can be […]

When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) […]

With recent advances in imaging, genomics and other technologies, the life sciences are awash in data. If a biologist is studying […]

The MIT Stephen A. Schwarzman College of Computing recently marked a significant milestone as it celebrated the completion and inauguration of […]

Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they […]

During the journey from the suburbs to the city, the tree canopy often dwindles down as skyscrapers rise up. A group […]

A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to […]

You’ve likely heard that a picture is worth a thousand words, but can a large language model (LLM) get the picture […]

Imagine driving through a tunnel in an autonomous vehicle, but unbeknownst to you, a crash has stopped traffic up ahead. Normally, […]

When the Takeda Pharmaceutical Co. and the MIT School of Engineering launched their collaboration focused on artificial intelligence in health care […]

The impact of artificial intelligence will never be equitable if there’s only one company that builds and controls the models (not […]

A few years ago, Gevorg Grigoryan PhD ’07, then a professor at Dartmouth College, had been pondering an idea for data-driven […]

Someday, you may want your home robot to carry a load of dirty clothes downstairs and deposit them in the washing […]

Digital technologies, such as smartphones and machine learning, have revolutionized education. At the McGovern Institute for Brain Research’s 2024 Spring Symposium, […]

Large language models like those that power ChatGPT have shown impressive performance on tasks like drafting legal briefs, analyzing the sentiment […]

The use of AI to streamline drug discovery is exploding. Researchers are deploying machine-learning models to help them identify molecules, among […]