Brookings Institution's report details the best ways to minimize risk and utilize benefits of AI for students.

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Dr. Witt is the author of “The Radical Fund: How a Band of Visionaries and a Million Dollars Upended America.” In a year when the United States seemed more split than ever, Americans united in one way ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...

Tesla has started testing Model Y robotaxis in Austin without a safety driver or supervisor in the cabin. The move comes less than one week after Elon Musk promised to remove the supervisors from cars ...

Tesla Inc. (NASDAQ: TSLA) CEO Elon Musk has once again hinted at Unsupervised Full Self-Driving (FSD) capabilities amid text and drive claims. Tesla FSD To Let You Text And Drive? On Thursday, ...

As generative artificial intelligence use becomes prevalent across Duke’s ecosystem, some students remain hesitant to integrate the technology into their academic routines. Duke made a public show of ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...