A tech enthusiast has shared their DVD rewritable durability findings, following six months of testing.

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between. But Nvidia’s recent moves signal that it’s looking to lock in more customers at ...

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...

For decades, quantum computing has been heralded as a technology of the future, promising to solve problems far beyond the reach of supercomputers. But its practical use has remained elusive. That’s ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

QCi’s photonic chips could reduce the cost of quantum computers. IonQ’s trapped ion technology could shrink quantum processing units. Both of these companies are growing, but one is grossly overvalued ...

On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...

A Python wrapper for GNU parallel that naturally embeds shell code into Python scripts or Jupyter notebooks (no delimiter hell). Features parameter substitution, environment substitution, and ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...