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

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

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

For Principal Beth Hert of Corona Arts and Sciences Academy (CASA), the status quo has never been her focus. She has been in education for 25 years, and in ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

Advith Sharma's startup Aether Labs uses AI to streamline India's fragmented insurance industry by automating workflows, ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

The industry’s next phase may depend on the companies building its infrastructure, governance, security, and real-world ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.