A standout desktop PC at CES 2025, the Vision X AI has a superpower: a front face that's 100% touch display. (You can use it as a second monitor, a dashboard, or a giant control panel.)

Artificial intelligence (AI) has been celebrated as a game-changer, promising unprecedented speed and precision. Yet, while AI excels at processing data and identifying patterns, it lacks the uniquely human traits of imagination, empathy and context—skills that are the foundation of true innovation.

Scientists have collected troves of DNA and microscopic imaging data from human cells—and now they have a tool that might make sense of all that information.

The right data foundation isn’t just a technical requirement—it’s a competitive advantage. Companies that get it right will position themselves to win in the age of AI.

While the future of AI remains uncertain, organizations can prepare by fostering a culture that embraces change. By staying agile and open to new technologies and insights, businesses will be better positioned to harness AI’s potential as it evolves.

From AI-driven defense to evolving ransomware tactics, here's what cybersecurity industry leaders and experts are preparing for this year.

"Half of employers plan to re-orient their business in response to AI," writes the WEF in the report. "Two-thirds plan to hire talent with specific AI skills, while 40% anticipate reducing their workforce where AI can automate tasks."

Authors, including Ta-Nehisi Coates and Sarah Silverman, allege Meta's illegal use of copyrighted materials to build AI models.

A 'binary big bang' occurred when AI foundation models cracked the natural language barrier, kickstarting a shift in our technology systems: how we design them, use them, and how they operate.

It was almost a year before a handful of Chinese AI chatbots received government approval for public release. Some questioned whether China’s stance on censorship might hobble the country’s AI ambitions.

Indeed, Musk suggested that synthetic data — data generated by AI models themselves — is the path forward. “The only way to supplement [real-world data] is with synthetic data, where the AI creates [training data],” he said. “With synthetic data … [AI] will sort of grade itself and go through this process of self-learning.”

Spotify, a digital music streaming service, has developed an AI-powered robot DJ aimed to help listeners find their musical sweet spots without the hassle of wading through unknown, and possibly crappy,