In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...

Abstract: Motivated by the growing need for black-box optimization and data privacy, we introduce a collaborative Bayesian optimization (BO) framework that addresses both of these challenges. In this ...

Interactive 3D knowledge graph visualizer for 2,081 machine learning and mathematics concepts with 5,149 prerequisite edges. Explore the graph in three dimensions — rotate, zoom, pan — with multiple ...

Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could ...

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...

Process chemistry involves the development and optimization of production processes for chemical compounds, and the scaling up of laboratory reactions, particularly in the pharmaceutical sector. This ...

Abstract: A novel Gaussian mixture model (GMM)–aided sparse Bayesian learning (SBL) framework is proposed for channel state information (CSI) estimation in orthogonal time-frequency space (OTFS) ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

This repository contains the official implementation of the paper "[Tensor Gaussian Process: Efficient Solvers for Nonlinear PDEs]" accepted at AISTATS 2026. Python libraries needed for running codes ...