Over two millennia ago, the ancient mathematician Euclid, widely recognized as the father of geometry, shifted our perspective on shapes. Today, Justin Solomon of MIT uses contemporary geometric methods to tackle complex challenges seemingly unrelated to shapes. Solomon utilizes geometric tools to analyze high-dimensional datasets, providing insights about the potential performance of machine learning models.…
Researchers at MIT and the MIT-IBM Watson AI Lab have developed an AI system designed to educate users on when to trust an AI's decision-making process - for instance, a radiologist determining if a patient's X-ray shows signs of pneumonia. The training system identifies scenarios where the human should not trust the AI model, automatically…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a system to teach users of artificial intelligence (AI) technology when they should or shouldn't trust its outcomes. This could be particularly beneficial in the medical field, where errors could have serious repercussions.
The team created an automated system to teach a radiologist how…
Greek mathematician Euclid revolutionized the concept of shapes over two millennia ago, laying a strong foundation for geometry. Justin Solomon, leveraging his ancient principles with modern geometric techniques, is solving complex issues unrelated to shapes.
Solomon, an associate professor at MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science…
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a method of teaching users when to collaborate with an artificial intelligence (AI) assistant. The model creates a customised onboarding process, educating users on when to trust or ignore an AI model’s advice. The training process can detect situations where the AI model is…
Justin Solomon is an associate professor in the MIT Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory who is using geometric techniques to solve complex problems in data science and artificial intelligence, among other areas. These techniques draw upon the geometric structures within datasets to…
Researchers at the Massachusetts Institute of Technology and the MIT-IBM Watson AI Lab have developed an onboarding system that trains humans when and how to collaborate with Artificial Intelligence (AI). The fully automated system learns to customize the onboarding process according to the tasks performed, making it usable across a variety of scenarios where AI…
Over 2,000 years after Euclid's groundbreaking work in geometry, MIT associate professor Justin Solomon is using the ancient principles in fresh, modern ways. Solomon's work in the Geometric Data Processing Group applies geometry to solve a variety of problems, from comparing datasets in machine learning to enhancing generative AI models. His work assumes a variety…
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that teaches users when to trust AI and when to ignore it, and it has already led to an approximately 5% increase in accuracy during image prediction tasks. The researchers designed a customised onboarding process, which is when the user is familiarized…
Over 2,000 years ago, Euclid, a Greek mathematician often referred to as the father of geometry, fundamentally transformed our understanding of shapes. Today, Justin Solomon, a professor at MIT's Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), employs contemporary geometric approaches to tackle complex…
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a system that instructs users when to trust an AI system’s decision-making. In medicine, there might be instances like a radiologist using an AI model for reading X-rays where human intervention can make a difference. However, clinicians are uncertain whether to lean on the…