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.

Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

The foundation of every modern enterprise business rests upon its digital infrastructure. Yet, navigating the increasingly ...

OpenAI has introduced the o1 series, its most sophisticated AI models to date, which are designed to excel at complex reasoning and problem-solving tasks. The o1 models, which use reinforcement ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

Entrepreneurs can leverage AI to identify innovative cross-industry solutions to complex problems. Large Language Models can inspire novel ideas by combining knowledge from unrelated domains.

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...