Discover 5 AI tools that turn AI overload into autonomous workflows, with built-in automation and quality control for real-world teams.

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.

Your trading bot crashes at 3 AM because the forex feed went silent. Real-time currency data really shouldn't mean spe ...

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 ...

Anthropic’s Claude Opus 4.6 arrives in Microsoft Foundry and GitHub Copilot, bringing advanced reasoning, agentic coding, and ...

Adversaries weaponized recruitment fraud to steal cloud credentials, pivot through IAM misconfigurations, and reach AI ...

Anthropic's latest AI model has found more than 500 previously unknown high-severity security flaws in open-source libraries ...

Here's how to watch "Lost Grail with Alice Roberts" online from anywhere – and potentially for free as Prof. Roberts ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Use AI tools to build apps without coding. This guide covers setup, limits, risks, and SEO tool examples to inspire your own ...

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 ...

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...