AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

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.

Why do baseball umpires wear black underwear? How long is the longest burp ever recorded? Which two states make it illegal to get married on a dare? If you know the answers to those trivia questions, ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

The improved AI agent access in Xcode has made vibe coding astoundingly simple for beginners, to a level where some apps can ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...

SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control ...

Google has introduced Agentic Vision for Gemini 3 Flash, a new capability that improves how the model understands and responds to image-based prompts.

This week, Google introduced a new capability for its Gemini 3 Flash model called “Agentic Vision” that fundamentally changes this dynamic, turning the act of seeing into an active investigation. The ...

OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...