Semiconductors and data centers are emerging as the critical leverage points of the physical backbone of the AI economy.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

What is Bitcoin mining? Know how digital gold is created, the role of miners in securing the network, and the shift toward ...

Cango Inc.’s Bitcoin treasury is now worth more than the company’s entire stock market capitalization, returning attention to ...

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Retail has crossed a threshold. What began as experimentation — chatbots, recommendation engines, demand forecasts — has ...

Driven by the global wave of informatization, the real-time transmission, efficient processing, and intelligent analysis of massive data have become ...

JLL's 2026 Global Data Center Outlook report highlights a massive $3 trillion supercycle in data center infrastructure, ...

The debate on artificial intelligence and energy is still framed too narrowly around how much power AI consumes. That ...

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Parallel Works announced that its collaboration with GDIT on a solution to expand a large federal agency's complex, mission-critical weather forecasting HPC workloads to the cloud has been awarded the ...