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Now, new research from Anthropic is exposing at least some of the inner neural network "circuitry" that helps an LLM decide when to take a stab at a (perhaps hallucinated) response versus when to refuse an answer in the first place.

What happens when people push artificial intelligence to its limits—not for profit or malice, but out of curiosity and creativity? A new study published in PLOS One explores the world of “LLM red teamers,

Anthropic has introduced new research tools designed to provide a rare glimpse into the hidden reasoning processes of advanced language models — like a 'microscope' for AI.

The neural net of Fugatto is one developed at Google in 2022 that can operate on "spectrograms," sounds as wave patterns. The original contribution of Nvidia's Rafael Valle and his team is a new dataset and a training regimen that teaches the model to handle complex textual commands.

Their method, AliBaStr-MT (Alignment-Based Streaming Machine Translation), builds on a pre-trained translation model and adds a small module that helps the model decide when to “read” more input and when to “write” the translation.

The John Simon Guggenheim Memorial Foundation has named Swarat Chaudhuri, a professor of computer science at The University of Texas at Austin, among its 100th class of Guggenheim Fellows. The fellowship offers support to exceptional individuals in pursuit of scholarship in any field of knowledge and creation in any art form.

Joni Isbell is a third-year computer science major studying cross-language alignment with School of Modern Language Assistant Professor Hongchen Wu. She also studies LLM suspense detection with Interactive Computing Professor Mark Riedl. The following is part of a series of Q&As from the Undergraduate Research Opportunities program.

This marks the first time DeepSeek has published product-related job openings, as it has largely focused on fundamental AI model research.

NTT Research and NTT R&D co-authored papers explore LLMs’ uncertain and open-ended nature, the “emergence” phenomenon, In-Context Learning and more News Highlights: Nine papers presented at esteemed international conference by NTT Research

Gender inclusivity and bias mitigation in MT is another key theme. The 3rd International Workshop on Gender-Inclusive Translation Technologies (GITT 2025) will feature a solid set of submissions and a keynote talk on inclusive language in localization with AI technologies.