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Microsoft will remove WMIC entirely, including as a Feature on Demand, in the Windows 11 24H2/25H2 Release Preview. Before it becomes impossible to reinstall, legacy automation needs to migrate to CIM and verify output, authentication, and remote connections.
An MIT research team has demonstrated a phenomenon in which attributing diffusion model outputs to specific training data becomes impossible as dataset scale grows. While this undermines the evidentiary foundation of copyright lawsuits, it also raises a paradox: scaling up a model itself could become a liability-shielding strategy.
To address the bloating and slowdown of the Windows 11 right-click context menu, Microsoft has announced a new feature that lets users individually configure which items are displayed. Users can now adjust the exposure of built-in commands and app extensions, aiming to improve both visibility and operational speed.
Nanjing University and Renshine Solar achieved a certified efficiency of 22.0% in a 0.72-square-meter perovskite module. Based on accelerated tests and a three-month outdoor comparison, we examine what conditions remain before mass adoption.
A University of Adelaide research team has published a new electrochemical method in Nature Synthesis that converts urea from urine and table salt into hydrazine. Unlike the dangerous oxidant-dependent industrial process that has dominated for 120 years, the new aqueous, room-temperature method achieves more than 10 times the current density and 240 hours of stable operation.
Gartner forecasts that provider-side AI inference costs per agentic workflow will more than quintuple by 2028, shifting the focus from per-unit pricing to cost-per-outcome management.
The LLVM Offload infrastructure built into the Rust compiler executes GPU kernels while preserving memory safety, achieving kernel performance on par with manually optimized CUDA/HIP. This article explains how the $noalias$ guarantees produced by the ownership model become a source of information for compiler optimization, along with the remaining challenges around synchronization overhead.
ATLANT 3D says an unnamed AI hyperscaler has ordered its atomic layer deposition tool. The device uses a micro-nozzle to directly pattern thin-film samples under varying conditions, aiming to speed up physical validation of AI-generated materials and the generation of training data.
Siemens and Reinhausen have jointly developed an SST that converts medium-voltage AC of up to 36kV into 800V DC. With an eye on AI racks exceeding 1MW, output capacity, efficiency, and commercialization timing remain undisclosed.
