Chinese AI models have caught up to US models in power and performance. China is leading in model openness. Much of the world may adopt the freely available Chinese technology. The US artificial ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

Microsoft (MSFT)-backed OpenAI (OPENAI) is developing a large language model dubbed Garlic to counter Google's recent gains in AI development, The Information reported. OpenAI plans to release a ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Another day in late 2025, another impressive result from a Chinese company in open source artificial intelligence. Chinese social networking company Weibo's AI division recently released its open ...

Model Haley Kalil didn’t hide intimate details about her marriage with her ex-husband, former NFL offensive lineman Matt Kalil. During a recent appearance on Twitch with Marlon, a popular streamer and ...

Back and nexk procedures could be wrapped into the mandatory TEAM bundled payment model if CMS expands it. (Photo: Martin Barraud/Getty Images) Medical conditions and surgical episodes requiring ...

She’s not backing down. Miami-based model Sophie Rain is raking in the millions — $80,138,033.96. Because of her fat bank account and fame, she has a laundry list of boxes men must check off if they ...

Abstract: Fashion attribute editing is essential for combining the expertise of fashion designers with the potential of generative artificial intelligence. In this work, we focus on ‘any’ fashion ...

Abstract: Attribute Inference Attacks (AIAs) pose a significant threat to recommendation systems (RS) by enabling adversaries to use threat models to infer sensitive user attributes like gender or ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...