Standard Kernel Raises $20M to automate GPU kernel generation, maximising performance and efficiency across AI workloads.

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

“Cryptojackers thrive in cloud environments where complexity obscures accountability and control, and our [R&D] investment in next-generation cloud protection and co-managed services is designed to ...

FlyLo weighs in on Suno and talks us through the making of BIG MAMA, a chaotic speedrun of an EP that zooms through chiptune, ...

Artificial intelligence infrastructure optimization platform startup Zymtrace announced today that it has raised $12.2 million in funding, including a newly closed $8.5 million seed round, to develop ...

So, you’re wondering which programming language is the absolute hardest to learn in 2026? It’s a question that pops up a lot, ...

Engineers at Netflix have uncovered deep performance bottlenecks in container scaling that trace not to Kubernetes or containerd alone, but into the CPU architecture and Linux kernel itself.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the architecture of the AI factory, spanning Rubin ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.