This repository contains the codes and data to replicate the results included in the following two papers. [1] Zhao J, Wang C. Robust topology optimization under loading uncertainty based on linear ...

Abstract: This letter presents a reinforcement learning (RL)-based trajectory optimization scheme for autonomous underwater vehicles (AUVs) in underwater acoustic-optical hybrid communication systems, ...

Abstract: Reconfigurable Intelligent Surface (RIS)-aided Unmanned Aerial Vehicle (UAV) network represents a promising solution for vehicular communication systems. However, this paradigm faces ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Ensuring autonomous workflows perform with consistent reliability and accuracy is core to customer experience; CX assurance ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

As privacy rules reshape ad tech, TV measurement is getting harder. Tatari’s Benjamin Heaton explains what’s broken and how ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Eric's career includes extensive work in ...

Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...

Retail media’s easy growth phase is over. As in-store networks scale, performance TV matures, and measurement pressure ...