Google VP: SEO and AI search optimization have ‘a lot of overlap’

Great content still wins in AI search, but AI queries are longer and far more complicated, according to Google’s Robby Stein.
Frontiers

A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Frontiers

Intelligent path selection algorithm for tactical communication networks enhanced by link state awareness

In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...
Semiconductor Engineering

Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
IEEE

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
IEEE

Optimization Algorithm of UAVs Task Assignment and Path Planning Based on Dynamic Cluster Particle Swarm Optimization

Abstract: Task assignment and path planning are crucial links in the task execution of uncrewed aerial vehicle (UAV) cluster, especially in high-dimensional complex scenarios, the calculation ...
Targeted Oncology

JAK Inhibitor Therapy: Personalized Selection and Optimization Strategies

Panelists discuss how selecting and optimizing Janus kinase (JAK) inhibitor therapy in myelofibrosis involves personalizing treatment based on patient risk factors, comorbidities, and preferences ...