Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Now generally available, latest update to the Kotlin language includes a checker for unused return values and a host of other ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Anthropic's Ralph plugin keeps Claude retrying until specs pass, with a stop hook to pause loops, so you ship cleaner code ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

This important work advances our understanding of the role of kisspeptin neurons in regulating the luteinizing hormone (LH) surge in females. The evidence demonstrating increased neuronal activity in ...

Traditional geothermal systems face persistent challenges, including low output temperatures and strict location dependence, limiting broader renewable-energy ...

Introducing Agent Development Through Natural Language Airia's new natural language agent building capability introduces a three-step process that improves AI agent creation: Describe & Plan: Users ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.