A deep learning image classification project built using Python and TensorFlow/Keras to classify images using a trained CNN model. Includes data preprocessing, model training, evaluation, and predi ...

Here we are sharing our code, tutorials and examples used to interpret geological structures (e.g. faults, salt bodies and horizones) in 2-D and/or 3-D seismic reflection data using deep learning. The ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

A Microsoft study found command-line AI coding agents were linked to more merged pull requests, but adoption and review capacity shaped the results. If you can only read one tech story a day, this is ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

做光学设计的同行都懂，好镜头是“调”出来的，也是“等”出来的。Zemax里反复改曲率和厚度，Lumerical里扫描周期单元的相位响应，一个参数组合跑下来，工作站转一整天是常态。更别提无透镜成像的重建调参、叠层成像的扫描校正，每一步都靠手动调试和 ...