The enterprise AI model that processes 1,500 pages at once, costs 75% less than GPT-4, and enables affordable autonomous agents for businesses seeking automation ROI.

How did DeepSeek attain such cost-savings while American companies could not? Let's dive into the technical details.

RAG is supposed to make enterprise AI more accurate, but it could potentially also make it less safe according to new research.

Contributor Content TeachMeCode Institute, in strategic partnership with HP, is setting a new benchmark for gaming technology education in the MENA region. By aligning industry-grade training with ...

Innovative Eyewear, a developer of smart eyewear, has launched Reebok Smart Eyewear as the latest set of smart glasses to hit the market.

Journey creator Thatgamecompany has teamed up with CoreBlazer to co-host a global game jam for emerging indie game developers.

Hyena Edge’s success positions Liquid AI as one of the emerging players to watch in the evolving AI model landscape.

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI ...

Pentagon-backed Jericho Security raises $15 million to combat deepfake fraud that has already cost North American businesses ...

Zencoder acquires Machinet to strengthen its position in the rapidly consolidating AI coding assistant market, expanding its ...

PolyBench, a groundbreaking multi-language benchmark that exposes critical limitations in AI coding assistants across Python, ...

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI ...