New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

Learn momentum conservation by building a Python model of elastic collisions! This tutorial guides you step-by-step through simulating elastic collisions, analyzing momentum transfer, and visualizing ...

Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.

The work of Open Source Mano has been showcased in February at the SNS4SNS 2026 second edition of the ETSI Software and Standards for Smart Networks and Services event (SNS4SNS), with a dedicated ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...

Stripe has launched x402 payments on Base to enable automated handshakes between AI agents transacting using Circle’s USDC.

Dive into Faraday’s Law of Electromagnetic Induction with a practical Python implementation in this first part of our Electrodynamics series. Learn how to simulate and visualize changing magnetic ...

Copilot Pro+ and Copilot Enterprise users now can run multiple coding agents directly inside GitHub, GitHub Mobile, and ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

OpenAI’s new Codex Mac app passed 1 million downloads in a week, spotlighting rising demand for agentic coding tools and tighter free-tier limits.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...