A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Attorneys at Lowenstein Sandler LLP discuss New York's new legislation that requires disclosure of the use of AI-generated synthetic performers in publications and advertising materials and another ...

Abstract: The predominant metric for evaluating speech recognizers, the Word Error Rate (WER) has been extended in different ways to handle transcripts produced by ...

Abstract: On the basis of discussing the definitions of community in complex network, a new method is to put forward for the community detection. This method initially marks all nodes as unvisited, ...

A nostalgic hit built out of vintage pop-culture references captured the “If you liked that, you’ll like this” spirit of Netflix. In the summer of 2016, streaming TV was still figuring itself out.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Dictionary.com has crowned a set of numbers as its 2025 word of the year. It says it reserves that distinction for a word that reflects "social trends and global events that defined that year" and ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

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 ...