Engineers use artificial intelligence to capture the complexity of breaking waves
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
New study reveals multiple pathways for a successful energy transition by 2050.
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
New program strives to bridge the talent gap for underrepresented groups in the tech industry.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.
A new robotic manipulation course provides a broad survey of state-of-the-art robotics, equipping students to identify and solve the field’s biggest problems.
When artificial intelligence is tasked with visually identifying objects and faces, it assigns specific components of its network to face recognition — just like the human brain.