Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Automation has become the backbone of modern SystemVerilog/UVM verification environments. As designs scale from block-level modules to full system-on-chips (SoCs), engineers rely heavily on scripts to ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

Driven by the explosion of big data and expanding applications, chip design complexity is increasing. Applications such as high-performance computing (HPC), the Internet of Things (IoT), automotive, ...

AI agents can assist in chip verification, but specifications, waveform analysis and gate-level debugging still require human ...

This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...

Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...