AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
Opinion
Bulletin of the Atomic ScientistsOpinion

AI social platforms like Moltbook are potential accelerators of existential risk that should be regulated as critical infrastructure

AI social networks are where agents can compound their capabilities and coordinate at scale—and in which humans can lose control.
TMCnet

Synopsys Launches Ansys 2026 R1 to Re-Engineer Engineering with Joint Solutions and AI-Powered Products

Ansys 2026 R1 introduces generative AI and the portfolio's first agentic capabilities, bolstering an AI-enhanced portfolio that accelerates validation, speeds design exploration, and automates complex ...
IEEE

Data processing, analysis and Machine Learning of Electrical Atomic Force Microscopy (AFM) in Data Cube mode: conduction of a nanomaterial for Lithium-ion battery electrodes

Abstract: With the increasing integration of functional systems, nanoscale characterization has become crucial not only for material investigation but also for advancing the understanding of local ...
IEEE

A Comparison of Accuracy: KNN, TabNet, and Wide & Deep Learning for DDoS Attack Detection in Software Defined Network

Abstract: This study focuses on comparing the performance of K-Nearest Neighbors (KNN), TabNet, and Wide & deep learning methods in classifying Distributed Denial of Service (DDoS) attacks on Software ...