Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

DistCA addresses a fundamental limitation in long-context LLM training: severe workload imbalance caused by the uneven quadratic cost of core attention across micro-batches. Existing systems and ...

Just a few years ago, large language models (LLMs) were mostly used by researchers and data scientists in highly technical environments. Today, they’ve become part of the tools many people use every ...

Meta is facing an AI copyright lawsuit in France that’s been brought by authors and publishers who are accusing it of economic “parasitism,” Reuters reports. The French litigation was filed in a Paris ...

Over the past decade, a new approach to the study of language variation and change has emerged at the intersection of linguistics and computer science, opening up new ground for research on one of the ...

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...

Synthetic macromolecules that mimic glycolipids, named Janus glycodendrimers (JGDs), have been shown to self-assemble into nanoscale vesicles displaying glycans on their outer surface, similar to the ...

This figure was adapted from a similar image published in DistilBERT (opens in new tab). We are releasing a private demo of T-NLG, including its freeform generation, question answering, and ...

Linear registration is often the crucial first step for various types of image analysis. Although this is mathematically simple, failure is not uncommon. When investigating the brain by magnetic ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More New artificial intelligence company Cerebras Systems is unveiling the ...