Computer Science and Artificial Intelligence Laboratory (CSAIL)

Auto Added by WPeMatico

This design software reimagines everyday objects as self-aware devices

3-D printing, ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical engineering and computer science (EECS), Machine Learning, manufacturing, MIT Schwarzman College of Computing, Product design, Research, School of Engineering, Software

As a child, you likely saw a few Disney movies depicting inanimate objects, such as clocks, cups, and toys, as interactive companions to humans — an act of pure magic, seemingly. But scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are now doing something similar: transforming stationary items into self-aware tools that perceive and respond

This design software reimagines everyday objects as self-aware devices Read More »

Why teaching AI about symmetry could make prenatal diagnosis more reliable

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Health care, Health sciences and technology, Imaging, Jameel Clinic, Machine Learning, Medical devices, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, National Institutes of Health (NIH), Research, School of Engineering

Despite millions of years of evolution, the development of the human fetus remains a complex process that is vulnerable to genetic, environmental, and metabolic disruptions. These disruptions could result in developmental abnormalities, starting with one of the first organs to begin developing in the fetus that continues to develop after birth: the brain.In a routine

Why teaching AI about symmetry could make prenatal diagnosis more reliable Read More »

Using AI to mitigate the growing environmental threat of data centers

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Energy, Faculty, Machine Learning, MIT Schwarzman College of Computing, Profile, School of Engineering, Sustainability, Sustainable computing, Systems design

The global building boom of power-hungry data centers is straining electrical grids, causing greater reliance on energy from polluting fossil fuels.Christina Delimitrou, a newly tenured associate professor at MIT, is fighting this environmental threat by rethinking how the computer servers and networking equipment inside those data centers operate. She and her group apply machine learning to

Using AI to mitigate the growing environmental threat of data centers Read More »

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

3-D printing, ai, AI (Artificial Intelligence), Architecture, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, School of Architecture and Planning, School of Engineering

“What you see is what you get” is a guiding principle for many software engineers — create programs where the content you’re editing looks the same as the final product. But when you’re using generative artificial intelligence systems to 3D print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want Read More »

New formulation helps RNA vaccines withstand high temperatures

ai, AI (Artificial Intelligence), Artificial Intelligence, Chemical engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), COVID-19, Electrical engineering and computer science (EECS), Koch Institute, MIT Schwarzman College of Computing, Research, RNA, School of Engineering, Vaccines

RNA vaccines, which have been proven effective against Covid-19, are now being developed for many other diseases, including cancer. One of the drawbacks to these vaccines is that they require ultracold storage, but researchers from MIT have found a promising way to overcome that limitation.With help from an AI algorithm, the researchers tweaked the formulation

New formulation helps RNA vaccines withstand high temperatures Read More »

New AI technique could make minimally invasive surgeries safer and more precise

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Health care, Imaging, Jameel Clinic, Machine Learning, Medical devices, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, National Institutes of Health (NIH), Research, School of Engineering

Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient’s preoperative 3D medical scan. This method could make it easier for clinicians to precisely pilot minimally invasive surgical tools, leading to faster and safer procedures.Clinicians perform many minimally invasive surgeries using real-time X-rays to help them steer devices

New AI technique could make minimally invasive surgeries safer and more precise Read More »

From MIT to IBM, expediting AI and quantum deployment

ai, AI (Artificial Intelligence), Algorithms, Alumni/ae, Artificial Intelligence, Careers, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Graduate, postdoctoral, Industry, Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, MIT-IBM Watson AI Lab, Quantum Computing, School of Engineering

The experience of transitioning from research based in theory to focusing on real-world application can vary significantly for different researchers. However, for two former MIT graduate students and a former postdoc, all now at IBM, working with the MIT-IBM Computing Research Lab (formerly the MIT-IBM Watson AI Lab) during their formative years enabled them to

From MIT to IBM, expediting AI and quantum deployment Read More »

System helps humans predict when self-driving cars will make mistakes

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Artificial Intelligence, Autonomous vehicles, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a collision.To help humans better anticipate a vehicle’s mistakes, researchers from MIT

System helps humans predict when self-driving cars will make mistakes Read More »

How an MIT research project became a global programming language

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Deshpande Center, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, Programming, Software, Startups

It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the programming languages designed to help scientists and other researchers perform complex mathematical operations and statistical simulations without learning how to code. These programming languages were rigid and slow. If scientists built something that really worked,

How an MIT research project became a global programming language Read More »

When AI art has no author: Study finds generated images often can’t be traced to training data

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Arts, Technology and society, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), ethics, Law, Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, Technology and policy, Technology and society

When an artificial intelligence image generator produces a portrait, whose work went into it? The question sits at the center of lawsuits, licensing deals, and proposed regulations worldwide. Artists want credit. Companies want clarity. Policymakers want a way to assign responsibility.New work from a team of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory

When AI art has no author: Study finds generated images often can’t be traced to training data Read More »