Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Zebras and tigers have stripes, cheetahs and leopards have spots, and the ocellated lizard (Timon lepidus) boasts a labyrinthine pattern of black-and-green chains of scales. Now researchers from the ...

How do machine learning models do what they do? And are they really “thinking” or “reasoning” the way we understand those things? This is a philosophical question as much as a practical one, but a new ...

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble ...

Artificial intelligence systems can write software and reason through complex problems. Yet even basic arithmetic can expose surprising weaknesses. A new study digs into why modern AI models stumble ...

Researchers tested the accuracy of five AI models using 500 everyday math prompts. The results show that there is roughly a 40 per cent chance an AI will get the answer wrong. View on euronews ...