Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 4, 202438Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have outlined an onboarding process, which includes training for users of artificial intelligence (AI) tools to better comprehend and utilise them. With a 5% accuracy improvement, the system setup enables a user to discern when to collaborate with AI by providing a personalised training programme.
The AI…
Leaders and scholars from MIT have released a series of policy papers proposing a framework for U.S. governance of artificial intelligence (AI), seeking to extend existing regulatory and liability approaches. The primary aim is to support and enhance American leadership in the evolving AI namespace while minimizing the potential risks and harms associated with the…
Justin Solomon, an Associate Professor in the MIT Department of Electrical Engineering and Computer Science, is revolutionizing geometry by applying it to myriad cutting-edge fields including machine learning, computer graphics, and artificial intelligence (AI). Drawing on the ancient geometric principles of Greek mathematician Euclid, Solomon explores how geometric structures could be used to understand and…
More than two millennia ago, Greek mathematician Euclid, seen by many as the originator of geometry, significantly influenced our comprehension of shapes. Fast forward to today, Justin Solomon, using advanced geometric techniques, is resolving challenging issues that appear unrelated to shapes on the surface.
Solomon, an associate professor in the MIT Department of Electrical Engineering…
Researchers at Massachusetts Institute of Technology (MIT) and Chinese University of Hong Kong have invented a machine learning-based digital simulator to shrink the gap between design intention and actual manufacturing of computer chips and optical devices. The process of photolithography used in creating such devices often leads to tiny deviations between theoretical design and practical…
Photolithography, a technique for fabricating computer chips and optical devices, frequently encounters problems due to minute deviations during the manufacturing process. To address this, scientists from MIT and the Chinese University of Hong Kong have successfully used machine learning to build a digital simulator that effectively mimics certain photolithography manufacturing processes. The simulator, which utilizes…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed an automated training system that can guide users on when and how to collaborate with AI models effectively. The system, designed to adapt to multiple tasks, does this by training users using data from the interaction between the human and AI for a specific…
MIT and MIT-IBM Watson AI Lab researchers have developed an automated system that trains users to effectively collaborate with artificial intelligence (AI). The system, which is designed to be customized for different tasks, identifies the circumstances under which a user should pay attention to the AI's recommendations and describes these conditions in natural language. Initially,…
A group of MIT leaders and scholars have released a series of policy briefs aimed at guiding U.S. policymakers in governing artificial intelligence (AI). The objective is to extend current regulatory and liability frameworks to cover AI, thereby limiting potential harm, and promoting social benefits resulting from its deployment.
The central paper entitled “A Framework for…