An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

Abstract: The facility location problem is very important which can be mathematically modeled as a fixed point problem. the feasible area of the decision is defined mostly on a non-convex meshwork ...

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

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions. Learn with practical examples.

KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...

Sven, a sales leader, received a call from a major customer who was furious. Their order arrived late, the product was damaged, and to top it off, their invoice didn’t reflect the volume discount ...

Pew Research Center conducted this study to understand Americans’ views of problems facing the country. For this analysis, we surveyed 5,086 adults from Jan. 27 to Feb. 2, 2025. Everyone who took part ...

If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...

If you want to get people’s attention to address a problem, making it seem as big as possible is a nearly universal reflex. Across more than a dozen experiments, they find that describing how big a ...

Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced. When you purchase through links ...