A graph structure inference framework achieved a 96.3 percent detection rate and high discriminative power when identifying ...

This research theoretically investigates Rydberg atoms tested in a quantum algorithm (QAOA) to solve the weighted MaxCut ...

Are you currently struggling with these concerns?“I think of tangrams as children's toys and can't imagine adults enjoying them,” “Solving ready-made puzzles is no longer satisfying enough,” “I want ...

A C++-based Smart Route Planner that uses graph data structures and Dijkstra's Algorithm to find the shortest routes between cities. Features include city and route management, BFS and DFS traversal, ...

Tencent's Hunyuan Research Agent version 2.0 made its debut Monday, claiming to have crossed a threshold that has defined the ambition of AI-for-science research for a decade: instead of solving ...

From an era where AI writes code, to an era where it repeatedly tests candidates and improves algorithms by keeping the good ...

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

The emergence of graph pangenomes has advanced the study of structural variants (SVs) across diverse species, yet the impact of complex ploidy on SV landscapes remains poorly explored. Brettanomyces ...

OpenAI and Anthropic assert that their AI models have posed a challenge to a traditional view concerning the limits of computing. If proven true, the findings can reshape complexity theory. However, ...

OpenAI's AI models have refuted the Exponential Time Hypothesis and made breakthroughs in harmonic analysis and quantum field theory, signaling a new era for AI-driven scientific research verified by ...

OpenAI said in an announcement on October 26, 2026, that its internal models produced three research results in mathematics, computer science, and physics, including a disproof of the Exponential Time ...