As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Many companies have historically rewarded innovation and improved productivity. But companies are now seeing so much ...

Anthropic's new mid-tier model Claude Sonnet 5 arrives as Fable and Mythos sit boxed up under a U.S. export order.

Enterprise AI has spent the last two years fixated on ever more powerful models. But a largely hidden layer is emerging ...

No one in AI trusts their rivals to slow down—so everyone races ahead. New tech could help break that impasse.

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

Imagine sitting down at your desk and logging in for a performance review, with an AI system analyzing the conversation.

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

The day Britain voted on European Union membership, I was cramming for an exam on portfolio construction the next morning.

Mapping detections and controls to MITRE ATT&CK: a practical guide for technical teams MITRE ATT&CK is useful because it gives technical teams a common language for describing adversary behaviour. For ...