The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

In a matchup that continues generating significant buzz, the Ole Miss Rebels (12-1, 7-1 SEC) will square off against the ...

Report highlights how acquisition efficiency, retention strategy, and advanced measurement are reshaping growth for subscription meal kit ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

Endurance athletes rarely walk into a clinic with a single, obvious problem to fix. More often, they arrive with pain that defies imaging, symptoms that recur despite rest and a singular frustration: ...

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

Brands must establish a practice of measurement for all AI endeavors—with a clear picture of success and a transparent way to ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

A new technical paper titled “Intelligence per Watt: Measuring Intelligence Efficiency of Local AI” was published by researchers at Stanford University and Together AI. “Large language model (LLM) ...