Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

The Board of Governors of the Telangana Social Welfare Residential Educational Institutions Society (TGSWREIS) has approved a series of academic, welfare and infrastructure reforms, including the ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot ...

The advent of the evolutionary scale modeling (ESM) series of protein language models (PLMs) is a significant innovation in the convergence of large language models (LLMs) with protein representation.

Probabilistic graph query processing techniques address the challenge of querying networks in which the presence of nodes or edges is uncertain. Such graphs arise in domains as varied as ...

Enterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and ...

Abstract: The class-agnostic counting (CAC) task has recently been proposed to solve the problem of counting all objects of an arbitrary class with several exemplars given in the input image. To ...

For over a century, standardized rating scales have been the dominant method of psychological assessment, but they often limit how people express complex or nuanced mental states. A new study ...