In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Discover Wassily Leontief's groundbreaking input-output analysis and the surprising Leontief Paradox that challenged economic ...

Unlike the linear sprints of Agile, CAIL is a "contracts-first" framework designed to tame the probabilistic nature of AI ...

Artificial intelligence has become an ally in cybersecurity by 2025, with 60% of organizations reporting using it in their IT ...

Cambridge University researchers switch to multi-pass methane pyrolysis to boost carbon nanotube production along with clean ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

U.S. natural gas prices remained weak in Q3 2025 as inventory builds and mild weather offset rising demand. Read our full ...

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

Google's real-time translator looks ahead and anticipates what is being said, explains Niklas Blum, Director Product ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

The grace period is over. Twelve predictions on where AI creates value, breaks assumptions and triggers backlash as 2026 ...

Speaking with popular AI content creators convinces me that “slop” isn’t just the internet rotting in real time, but the ...