Fan Bin, founder of GCL Optoelectronics, about how high-throughput experimentation and AI-driven optimization are ...

Recently, a research team led by Prof. Zhao Bangchuan from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. Xiao Yao ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

A review of Marek Health covering labs, peptides, costs, coaching, and results. What works, what doesn’t, and whether it’s worth the investment.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Autonomous Aerial Vehicles (AAVs) are progressively employed in various applications, including surveillance and logistics. However, their rising usage is coupled by increased cybersecurity threats.

Abstract: Physics-informed neural networks (PINNs) provide a flexible framework for solving neutron diffusion equations, yet their accuracy and stability are often hindered by limited spatial ...

OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation speeds, signaling a major inference shift beyond Nvidia as the company faces ...