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 ...

A new Stanford-led analysis of corporate carbon disclosures finds that companies undercount emissions from their supply ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Pentesting has shifted to continuous delivery, automated validation, and unified workflows to drive real risk reduction in ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Mercedes offers Level 3 in series production, but also works on Level 2++ in parallel, for good reasons. Is a U-turn now ...

Abstract: Cellular segmentation in fluorescence images is challenging due to the uneven intensity distribution and distinguishable cell morphology. Existing segmentation models consider the changing ...

Abstract: Reducing the root-mean-square (RMS) current through dc-link capacitors is critically challenging in parallel dual-inverter-fed drive systems, as dc-link currents are heavily influenced by ...

Hochul’s move to sign AI model safety and transparency requirements into law is a shot across the bow at President Donald Trump’s executive order challenging U.S. states’ ability to regulate the ...

Surgical site infections (SSIs), particularly intra-abdominal (IAB) infections, are challenging to identify and remain a resource-intensive focus of infection prevention programmes. Current automated ...