An innovative open-source AI engine uses swarm intelligence and thousands of digital agents to accurately predict market ...

Apple’s Mac Mini has become popular among developers who want a compact system that can still handle serious computing workloads, especially as interest in ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

As the RISC-V ecosystem grows, startups struggle to verify complex chips before tape-out. Chennai-based startup addresses ...

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...

OpenAI is acquiring Promptfoo to strengthen AI agent security, adding enterprise testing tools for jailbreaks, prompt injections, data leaks, and governance.