Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

I’ve observed an unexpected result when comparing direct clustering using CD-HIT at 40% threshold versus hierarchical clustering down to 30%. Direct clustering (-c 0.4): I have directly used cd-hit to ...

Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States ...

This article will introduce how to quickly deploy and start a single-node AutoMQ instance in a Public Cloud environment, and test the core features of AutoMQ. Prepare a host for deploying the AutoMQ ...

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a ...

University of Bremen, Institute for Physical and Theoretical Chemistry, Leobener Str. 6, D-28359 Bremen, Germany Bremen Center for Computational Materials Science, University of Bremen, Am Fallturm 1, ...