Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

Jensen Huang’s GTC 2026 keynote wasn’t just about new chips. It showed Nvidia pushing to own the economics of inference, agentic AI, and the infrastructure beneath the next industrial wave.

The automotive giant has made Snowflake the core of its organization-wide data mesh and is now exploring agentic technologies.

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.

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.

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

Hackers are increasingly exploiting newly disclosed vulnerabilities in third-party software to gain initial access to cloud environments, with the window for attacks shrinking from weeks to just days.