A five-character fix turned a failing Lighthouse Agentic Browsing audit into a clean pass. What that reveals about what the audit actually measures.

Overview:  Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...

A popular way to explain how current LLMs work is to say that “all” they do is predict the next most likely word in a sentence. From one perspective, this is correct. Trained on all human language, ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

The OPPO Reno16, powered by the Snapdragon 7 Gen 4 Chipset and ColorOS 16, is built for exactly that a device that helps creators, professionals, and explorers remember more, organise better, travel ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

The FOSS well apparently never runs dry—here’s the next round of this roundup.

After months of testing local LLMs, I found that productivity depends on tools, not just models.

Last Tuesday, Microsoft patched a vulnerability it rated as max critical in its M365 Copilot AI platform. On Monday, the researchers who discovered the vulnerability and reported it to Microsoft ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...