As of November 8, 2026. Darwin-180B-RSI kept the 512 routed experts per layer from Qwen3.8-Flash-Next byte for byte and rebuilt only the attention layers, the linear attention layers and the shared experts through recursive self-improvement. Both models are on the same board,…
Published in Advances in Aerodynamics, the study demonstrates that by optimizing specific steady-flow characteristics, such as shock wave position and flow separation area, engineers can improve the aerodynamic stability of airfoils without compromising their performance. AI-Driven Airfoil Design Delays Shock…
Published in the International Journal of Data Science and Analytics, the study addresses a specific gap in machine learning where existing methods fail to handle irregularly sampled data with limited training samples. Temporal alignment improves classification of sparse time series…
A systematic review indicates that machine learning models for postoperative nausea and vomiting show moderate predictive accuracy but suffer from substantial risk of bias and limited geographic validation.
Researchers have established the NP-hardness of Partition Difference Maximization in complex networks and developed two approximation algorithms with instance-dependent performance guarantees. Nguyen and Subrata Acharya have investigated the problem of maximizing the disparity between two partitions of a complex network,…
📅 November 7, 2026 • Google... Tagged with ai, cybersecurity, google, security. Google DeepMind: AI agents found two weaknesses in legacy 1024-bit RSA 📅 November 7, 2026 • Google DeepMind Result two: batch factorization The second result is about batch factorization. Every integer gets its own family of…
Researchers developed and deployed a fine-grained natural language processing framework that accurately extracts context-aware medication details from unstructured Hungarian clinical notes. Article Title: Granular by design: a fine-grained NER approach to context-aware medication extraction
A physics research startup says an unreleased artificial intelligence model from Anthropic helped it settle a quantum-computing question that has stood open since 2008, producing a formal proof in three days that a machine-checked logic tool has accepted. PSI said its…
After contributing to the solution of a century-old problem and holding a research position at the University of Michigan, Ma Xiao unexpectedly returned to China to pursue artificial intelligence research. Two years ago, mathematician Ma Xiao contributed to a breakthrough…
Previously, proving that certain problems require substantial computational power demanded complex mathematical machinery; now, those same limitations can be demonstrated with simpler tools. This work establishes a new baseline by showing how to prove existing quantum lower bounds, specifically Ω…
AI solving mathematics: olympiad results, Erdős problems and open conjectures, proof assistants, and what mathematicians such as Terence Tao make of it.
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