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A computer scientist is advancing the limits of geometry.

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 6, 202436Views0Likes0Comments
Over 2000 years since Greek mathematician Euclid revolutionized geometry, Justin Solomon of MIT's Electrical Engineering and Computer Science Department and the Computer Science and Artificial Intelligence Laboratory, is using modern geometric techniques to solve complex problems in various fields. From machine learning to autonomous vehicle recognition systems, Solomon integrates geometry with statistical research for groundbreaking…

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The automated system instructs users on the appropriate time to work together with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 5, 202434Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed an onboarding process which teaches users how to effectively collaborate with artificial intelligence (AI) assistants. The system was designed to provide guidance to users and to improve collaboration between humans and AI. The automated system learns how to create the onboarding process by gathering…

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The automated system provides guidance on when to engage with an AI assistant for collaboration.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 5, 202435Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed an automated system that trains users on when to collaborate with an AI assistant. In medical fields such as radiology, this system could guide a practitioner on when to trust an AI model’s diagnostic advice. The researchers claim that their onboarding procedure led to…

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A computer scientist pioneers advancements in the field of geometry.

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 5, 202433Views0Likes0Comments
Justin Solomon, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is employing modern techniques based on ancient geometric principles to solve a wide array of complex problems, specifically in the field of data science. Drawing upon the geometric…

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

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 4, 202435Views0Likes0Comments
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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An automated platform instructs users on the appropriate timing for partnership with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 4, 202442Views0Likes0Comments
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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A computer scientist is pushing the limits in the field of geometry.

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, 202437Views0Likes0Comments
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.

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, 202436Views0Likes0Comments
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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The automated mechanism instructs users on the optimal times to work in conjunction with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202433Views0Likes0Comments
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.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202438Views0Likes0Comments
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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