Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A government-backed innovation cluster called Scale AI has made its largest-ever funding round of $128.5 million to support ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Despite billions invested in AI platforms, cloud infrastructure, ...

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

This year, the researchers announced they had designed two antibiotics to go after superbugs. The AI combined millions of chemical fragments and pared the results to two that proved successful against ...