Abstract: This paper proposes a dynamic parameter iterative optimization framework for off-grid direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling (MC). By exploiting the ...

Abstract: We consider a Cartesian stochastic variational inequality problem with a monotone map. Monotone stochastic variational inequalities arise naturally, for instance, as the equilibrium ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...

AutoResearch is an AI method that improves algorithms through self-run trials, including a chess engine jump from 750 to 2600 ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and Fixstars Corporation has demonstrated one of the world's largest classical ...

Platform screens up to 10 billion compounds in hours, delivering wet-lab-ready candidates in weeks without requiring 3D ...

Researchers used 1,024 GPUs to run one of the world's largest quantum chemistry circuit simulations, surpassing the 40-qubit ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...