The Australian biotech company Cortical Labs recently posted a video in which 200,000 living human neurons grown on a silicon chip played the 1993 first-person shooter Doom. The neuron-controlled main ...

This repository hosts the material the workshop entitled "High Performance Computing With Python and RS-DAT" taught at the SURF Utrecht on 19-03-2026 in the context of the HPC-DAT project funded by ...

The edge of the enterprise network has become a crowded and contested place. Distributed organizations with anywhere from a few to hundreds or even thousands of locations are asking more of their ...

As AI infrastructure investments surge toward $300B in 2025 alone, fueled by mega-projects like the $500B Stargate initiative and hundreds of billions in Nvidia chip purchases, the decentralized AI ...

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 ...

NEC launched a “Composable Disaggregated Infrastructure Solution” aimed at improving the flexibility of distributed computing resources. Debuted in Japan, the offering is designed to help data center ...

Abstract: This paper presents a mobile computing-based framework for distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenarios under ...

This year, China has come up with some impressive technological feats. But as 2025 draws to a close, its latest invention may be the grandest yet: a 1,243-mile-wide computing power pool, essentially ...

This Scientific Reports Collection welcomes original research on Distributed parallel computing. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. For further ...

Abstract: Distributed computing faces a persistent multi agent trust dilemma. In the computation process, participants may maliciously attack the system for personal gain by providing false data.

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...