Helping computer vision and language models understand what they see

Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.

While these models excel at identifying objects, they often struggle to understand …

Fast-tracking fusion energy’s arrival with AI and accessibility

As the impacts of climate change continue to grow, so does interest in fusion’s potential as a clean energy source. While fusion reactions have been studied in laboratories since the 1930s, there are still many critical questions scientists must answer …

Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology has selected three new research projects that will receive support from the initiative. The research projects aim to accelerate progress in meeting complex societal needs through new business convergence insights …

Artificial intelligence for augmentation and productivity

The MIT Stephen A. Schwarzman College of Computing has awarded seed grants to seven projects that are exploring how artificial intelligence and human-computer interaction can be leveraged to enhance modern work spaces to achieve better management and higher productivity.

Funded …

How machine learning models can amplify inequities in medical diagnosis and treatment

Prior to receiving a PhD in computer science from MIT in 2017, Marzyeh Ghassemi had already begun to wonder whether the use of AI techniques might enhance the biases that already existed in health care. She was one of the …

A simpler method for learning to control a robot

Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.

This …

A new dataset of Arctic images will spur artificial intelligence research

As the U.S. Coast Guard (USCG) icebreaker Healy takes part in a voyage across the North Pole this summer, it is capturing images of the Arctic to further the study of this rapidly changing region. Lincoln Laboratory researchers installed a …

A faster way to teach a robot

Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a …

Understanding viral justice

In the wake of the Covid-19 pandemic, the word “viral” has a new resonance, and it’s not necessarily positive. Ruha Benjamin, a scholar who investigates the social dimensions of science, medicine, and technology, advocates a shift in perspective. She thinks …

A new way to look at data privacy

Imagine that a team of scientists has developed a machine-learning model that can predict whether a patient has cancer from lung scan images. They want to share this model with hospitals around the world so clinicians can start using it …

3 Questions: Honing robot perception and mapping

Walking to a friend’s house or browsing the aisles of a grocery store might feel like simple tasks, but they in fact require sophisticated capabilities. That's because humans are able to effortlessly understand their surroundings and detect complex information about

Learning the language of molecules to predict their properties

Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular properties and narrow down the molecules they need …

Educating national security leaders on artificial intelligence

Understanding artificial intelligence and how it relates to matters of national security has become a top priority for military and government leaders in recent years. A new three-day custom program entitled “Artificial Intelligence for National Security Leaders” — AI4NSL for short — …

Researchers teach an AI to write better chart captions

Chart captions that explain complex trends and patterns are important for improving a reader’s ability to comprehend and retain the data being presented. And for people with visual disabilities, the information in a caption often provides their only means of …

MIT-Pillar AI Collective announces first seed grant recipients

The MIT-Pillar AI Collective has announced its first six grant recipients. Students, alumni, and postdocs working on a broad range of topics in artificial intelligence, machine learning, and data science will receive funding and support for research projects that could …

Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences

MIT’s School of Engineering and global health care company Novo Nordisk has announced the launch of a multi-year program to support postdoctoral fellows conducting research at the intersection of artificial intelligence and data science with life sciences. The MIT-Novo Nordisk …

Stephen Almond, ICO: Prioritise privacy when adopting generative AI

The Information Commissioner’s Office (ICO) is urging businesses to prioritise privacy considerations when adopting generative AI technology.

According to new research, generative AI has the potential to become a £1 trillion market within the next ten years, offering significant benefits …

Bringing the social and ethical responsibilities of computing to the forefront

There has been a remarkable surge in the use of algorithms and artificial intelligence to address a wide range of problems and challenges. While their adoption, particularly with the rise of AI, is reshaping nearly every industry sector, discipline, and …

MIT researchers make language models scalable self-learners

Socrates once said: “It is not the size of a thing, but the quality that truly matters. For it is in the nature of substance, not its volume, that true value is found.” Does size always matter for large language…
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