Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

AI isn’t a benevolent answer machine, it’s a capital-hungry engine that will force even OpenAI to charge a toll on your ...

Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

In the fiercely competitive fast-moving consumer goods (FMCG) sector, brand visibility is crucial. Consumers' purchasing decisions are increasingly influenced by their online search behaviors, making ...

A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today's image ...

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software features, machine learning programs build modeling depth, and data science ...

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and ...

As AI shifts from a buzzword to an essential tool for automation and control, organizations must navigate a complex mix of opportunity, infrastructure readiness and cybersecurity risk to unlock its ...

After the post-Game Awards reveal of Divinity, Swen Vincke, founder of Larian Studios, went on a media campaign. However, the conversation derailed to AI, and the internet blew up in a ginormous ...

The authors’ economic analysis shows that generative AI’s impact will be different than previous generations of AI and machine learning and will drive new levels of productivity in creative ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...