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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

You’ve probably seen an artificial intelligence system go off track. You ask for a video of a dog, and as the dog runs behind the love seat, its collar disappears. Then, as the camera pans back, the ...

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...

Nvidia releases new physical AI models at CES. Partners unveil next-generation robots. The robots span a wide range of use cases and industries. As AI models continue to gain popularity, there is an ...

Singapore has one of the highest life expectancies in the world, yet many individuals spend almost a decade in poor health toward the end of life. Scientists from the Yong Loo Lin School of Medicine, ...

OpenAI is looking for a new Head of Preparedness who can help it anticipate the potential harms of its models and how they can be abused, in order to guide the company's safety strategy. It comes at ...

Surging AFC teams in the NFL playoff picture will meet on Saturday as the Houston Texans visit the Los Angeles Chargers. Houston (10-5) is riding a seven-game win streak that is the longest active in ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.