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

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.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a combination of symbolic programs and neural networks. These concepts are grounded ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

The BBC’s iPlayer service isn’t the biggest or the most showy streamer out there, but it was one of the first… and it’s still one of the best. At a time when TV is global and sometimes a little ...

A viral video shows a 20-foot reticulated python on a “walk in the park.” Is that safe or even good for the snake? Learn how ...

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

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...