Meta acquires Moltbook, the social network for AI agents. The deal hints at a future where agent identity, coordination, and social graphs shape the next AI race.

Matt Schlicht, the site’s creator, helped kick off Silicon Valley’s obsession with artificial intelligence agents. Two months later, he is joining the Meta Superintelligence Lab.

If you had to guess which $40 billion company is currently the most shorted stock in America, you probably would need more than one try. According to Goldman Sachs’ hedge fund positioning data, ...

Without the semiconductor chips to make high-performance computing equipment capable of running AI models, many well-known players in the industry would be stuck. The leverage that this maker of ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

ConocoPhillips' dividend yield is three times higher than the S&P 500. The oil giant has been growing its dividend at a well-above-average rate in recent years. It aims to be a top-tier dividend ...

There’s a saying among chefs. I don’t mean the home-taught kind, like you and me. I mean the ones who went to culinary school, who can rattle off the five French mother sauces and know how to break ...

KinderCare Learning Companies (NYSE: KLC) stock tumbled 18.1% through 11:05 a.m. ET Thursday after reporting mixed results in its Q3 2025 financial report last night. Analysts expected KinderCare to ...

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.

Forbes contributors publish independent expert analyses and insights. Peter Cohan, a Boston-based senior contributor, covers stocks. Chegg's stock is down 99% as free AI tools like ChatGPT have made ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...