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Computer science and technology

The automated system instructs users on the appropriate times to engage with an AI assistant.

Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that trains users on when to trust an AI model's advice. This automated system essentially creates an onboarding process based on a specific task performed by a human and an AI model. It then uses this data to develop training exercises, helping…

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A team from MIT publishes documents discussing the management of AI.

A committee of scholars and leaders from MIT has released a series of policy briefs, aiming to frame a strategy for governance of artificial intelligence (AI). The targeted audience for these briefs is primarily U.S. policymakers, with the aim of regulating AI to ensure its safe use, limit potential harms, and encourage exploration of societal…

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An automated platform instructs users on the appropriate timing for partnership with an AI assistant.

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…

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The team from MIT has published research papers on the management of artificial intelligence.

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…

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A computer scientist is pushing the limits in the field of geometry.

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…

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A computer scientist is expanding the limits of geometry.

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…

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Bridging the gap between design and production for optical instruments.

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…

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Narrowing the divide between designing and manufacturing of optical devices.

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…

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The automated mechanism instructs users on the optimal times to work in conjunction with an AI assistant.

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…

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The automated system instructs users on the appropriate times for cooperating with an AI assistant.

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,…

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