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 ...
The latest Previsible benchmark results reveal a surprising drop in SEO accuracy from top AI models. TL;DR: Last year, the narrative was linear: wait for the next model drop, get better results. That ...
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 ...
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 ...
Google has expanded its Agent Development Kit (ADK) for Java to support a wider range of large language models (LLMs) through integration with the LangChain4j framework, the company said in a blog ...
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 ...
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