A game of chess requires its players to think several moves ahead, a skill that computer programs have mastered over the ...

An international research team led by the URV has analyzed the capabilities of seven artificial intelligence (AI) models in ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

AI offers both promise and peril, and parents have the power to drive this change. By engaging with schools, collaborating with their communities and advocating for transparency and inclusivity, they ...

Key takeawaysUnlike traditional bots, AI-powered agents continuously learn, adapt and refine their strategies in ...

Below we have compiled a full list of Google algorithm launches, updates, and refreshes that have rolled out over the years, as well as links to resources for SEO professionals who want to ...

This is a guest post for the Computer Weekly Developer Network written by Anand Kannappan, CEO and founder of model ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET ... enables data transformations, and includes many ML algorithms. With ML.NET, you can train models for a variety of ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...

The FDA’s framework for AI regulation, while robust for premarket evaluation, would benefit from more specific mechanisms for continuous monitoring of AI performance in diverse real-world settings.

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now ...

AI systems are often described using terms like "autonomous" or "self-learning," obscuring the vast amount of human labor required to train and maintain them. This labor includes tasks like data ...