Hello, I'm Yamano, also known as Yamachan-sensei, a Python instructor. I have been teaching at vocational schools and ...

Overview: Vectorization replaces manual, element-by-element loops with operations that run across entire arrays at once.The speed gain comes from compiled code, ...

Flet 1.0: build web, desktop and mobile apps in Python with declarative UI, bundled Python 3.12 to 3.14, on device testing and MCP tools.

Google’s Agent Anomaly Detection monitors AI agents for suspicious behavior, policy violations, tool misuse, and operational ...

At the end of the last post, I wrote, "Next, we'll finally enter the phase of 'writing code myself'." However, as it turned out, the code came from Claude before I could write it, and on top of that, ...

Scaling VLA robotics requires optimized inference, heterogeneous compute and real-time control on edge hardware.

Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.

The approach presents an alternative to continuously building new simulators and training tasks from scratch: start with a trusted environment and dynamically reshape it around the agent’s current ...

Z.ai on September 17, 2026 published a technical account describing how it built a complete production-grade inference service for its GLM-5.3-Flash model from scratch on a cluster of more than ...

Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI development through practical lessons, homework, projects, and community-based learning ...

OpenAI robotics hiring has surged to 27 job listings with salaries up to $500,000 -- signaling that the company is building an industrial teleoperation lab to generate robot training data at scale, ...

NVIDIA FlashREINFORCE, published September 2026 and integrated into the Molt framework, trains AI agents using half as many rollouts as GRPO while matching or beating its accuracy on math and tool-use ...