Category: AI/ML News

People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that …

Read more “People prefer stories written by AI—especially when told they’re written by a human”

Fenix Flexin’s hit song “Rubberz” has hip-hop fans arguing over whether it was generated by AI. Some say they have proof it’s machine-made, but will anyone care?

Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.

Upgrade your WFH setup and work in style with these comfy, WIRED-tested seats.

Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that …

Read more “AI reduces sensory hallucinations, even at night or in smoke”

The impact will kick up a plume of debris so high, it’ll likely be visible through some telescopes. Astronomers will be watching.

In a review triggered by OpenAI’s Hugging Face incident, Anthropic discovered three of its AI models had breached real organizations during third-party evaluations.

Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different types of text. Despite their widespread use, these models still have notable limitations.

Despite weeks of renewed press coverage and controversy around ICE, Donald Trump’s supporters appear to be standing by the agency no matter what.

KAIST researchers have developed a safety verification technology that uncovers roughly seven times more hidden vulnerabilities in AI than existing methods. The technology is expected to serve as a foundation for developing safer, more trustworthy AI. The work is published on the arXiv preprint server.