Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...

Alabama football is taking further measures to help their wide receivers train visual focus ahead of the Crimson Tide’s College Football Playoff matchup against Oklahoma. This week, ESPN’s Holly Rowe ...

HIMARS training looks strange at first. Crews carry fire extinguishers, deflate tires, and run full launch drills without firing a single rocket. This video explains how inert missiles, simulated ...

As Disney has gone into business with OpenAI, the Mouse House is accusing Google of copyright infringement on a “massive scale” using AI models and services to “commercially exploit and distribute” ...

While Yann LeCun was still Meta’s Chief AI Scientist, he proposed the Joint-Embedding Predictive Architecture, or JEPA, which essentially teaches an AI to infer the meaning of missing data rather than ...

It’s the end of an era. December is the last month for MetroCards before New York City’s public transit system is taken over by OMNY. With the big change quickly approaching, it’s time for New Yorkers ...

Experts are sounding the alarm over YouTube’s deepfake detection tool — a new safety feature that could allow Google to train its own AI bots with creators’ faces, according to a report. The tool ...

It's becoming harder and harder to know what the rules are when it comes to generative AI. With Meta, X, and even the UK government behind opt-out models, it feels like AI is in a "steal first, ask ...

Viral posts claim you need to opt out of Gmail’s ‘smart features’ to avoid having your emails used to train AI, but Google says it doesn’t use the content of your emails for AI training. Viral posts ...

Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning ...