Objectives The use of economic evidence to prioritise vaccines and delivery strategies to optimally use in immunisation systems is becoming a global priority, especially in low- and middle-income ...

Cloudflare has open-sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle-tested quiche ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

Coordinating schedules, staying ahead of issues, and minimizing downtime across a fleet of hundreds of vehicles requires exceptional efficiency and organization.

Data management is the process by which businesses gather, store, access and secure data from business software solutions. Here’s what you need to know.

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Identifying and securing ownership of assets can be a challenging task. In addition to multifactor authentication, conditional and privileged access can help organizations to batten down the hatches.

Abstract: The increasing complexity and volume of plasma fusion experimental data, coupled with the growing adoption of machine learning in fusion research, necessitate advanced and efficient data ...

It’s a digital gold rush as data center development sweeps through small-town America. As demand for artificial intelligence, cloud computing and digital storage surges, developers are racing to ...