As allegations of LLM use rock the literary and media worlds, linguists explain what really distinguishes human and machine language, while novelists including Jennifer Egan and Jeanette Winterson ref ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

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

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Mapping detections and controls to MITRE ATT&CK: a practical guide for technical teams MITRE ATT&CK is useful because it gives technical teams a common language for describing adversary behaviour. For ...

Bioacousticians are finding animal communication patterns once thought unique to humans — discoveries that challenge ideas about what makes human language special.

Abstract: During childhood, language development plays a pivotal role, serving as the cornerstone for early learning and social integration while significantly influencing future academic and social ...

In a re-evaluation of Hockett's foundational features that have long dominated linguistic theory—concepts like "arbitrariness," "duality of patterning," and "displacement"—an international team of ...

Machine translators have made it easier than ever to create error-plagued Wikipedia articles in obscure languages. What happens when AI models get trained on junk pages? When Kenneth Wehr started ...

Department of Foreign Languages, Qilu Normal University, Jinan, China. Driven by globalization, social media has become a key field for cross-cultural communication. Since 2019, the U.S. government, ...

The availability of open-source datasets for many African indigenous languages by local developers (like NaijaVoices) marks a significant advancement in digital inclusion. This has afforded many ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...