Go to this link from the New York Times and start guessing words. That's a topic we've covered a bunch here. According to the ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Here are some tips and tricks to help you find the answer to "Wordle" #1697.

A new method trains artificial intelligence systems to more reliably solve complex problems that require interpreting both text and images. In tests, AI models trained with this method outperformed ...

Study shows dreams really do solve problems. Scientists doubled problem-solving success by playing sounds during sleep to ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

Struggling with network printing between Windows 10 and Windows 11? Discover proven steps to resolve connectivity issues, share printers effortlessly, and restore smooth workflows. Expert tips for ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Abstract: In this article, we propose the neural Born iterative method (NeuralBIM) for solving 2-D inverse scattering problems (ISPs) by drawing on the scheme of the physics-informed supervised ...

Update: Since this article was published, it has emerged that there was a prior solution to the particular Erdos problem solved here by Davenport and Erdős (1936) and Rogers (in Halberstam-Roth (1966) ...

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...