IEEE

Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...
Morning Overview on MSN

How to remove iPhone viruses in 2026, step-by-step

Even with Apple’s locked-down design, iPhones in 2026 are not magically immune to malicious apps, scam pop-ups, or ...
C&EN

Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step

Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, 8093 Zurich, Switzerland ...
IEEE

Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention

Abstract: Integrating information from vision and language modalities has sparked interesting applications in the fields of computer vision and natural language processing. Existing methods, though ...