A team of Apple researchers has found that advanced AI models’ alleged ability to “reason” isn’t all it’s cracked up to be. But marketing aside, there’s no agreed-upon industrywide definition for what ...

Over the weekend, Apple released new research that accuses most advanced generative AI models from the likes of OpenAI, Google and Anthropic of failing to handle tough logical reasoning problems.

Foundational models address a fundamental flaw in bespoke AI. But foundational and large language models have limitations. GPT-3, BERT, and DALL·E 2 garnered gushing headlines, but models like these ...

We set out to test LLM reasoning capabilities using Einstein's puzzle, a complex logic problem involving 5 houses with different characteristics and 15 clues to determine who owns a fish. Our initial ...

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

A day after Google announced its first model capable of reasoning over problems, OpenAI has upped the stakes with an improved version of its own. OpenAI’s new model, called o3, replaces o1, which the ...

Using two newly developed types of reasoning tests, a team of researchers at UCL and UCLH has identified key brain regions that are essential for logical thinking and problem-solving. The results will ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...