Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

People are increasingly turning to software to design complex material structures like airplane wings and medical implants. But as design models become more capable, our fabrication techniques haven't ...

Silhouette 2025.5 adds AI masking, face segmentation, and SynthEyes 3D tracking directly inside the node tree.

Amid reports of strains with OpenAI, Microsoft has branched out to Anthropic as its next Copilot AI partner. Claude models ...

“The obvious value metric is cost savings, and that comes in two forms, cost out and cost avoidance. The problem that ...

News dell'ultima ora dall'Italia e dal mondo. Notizie, video, rubriche e approfondimenti su Sport, Cronaca, Economia, Politica, Salute e tanto altro ...

Risk is high for pioneers of chiplet stacking, but the rewards could be significant. This will get easier, though.

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Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions and clinical outcomes, medical devices are modeled and assessed on virtual ...

Last summer, using realmo.com, I was evaluating a multifamily property in Denver that looked terrible on paper. The asking ...

This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...

AI and ML tools are enhancing data management and process control in bio/pharmaceutical manufacturing, with early adoption in process development and emerging use in commercial manufacturing.