Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type of intelligent image sensor that can perform machine-learning inference ...

Sen4x, developed by ADB, GeoVille, and ETH Zürich, combines single- and multi-image super-resolution to transform freely available Sentinel-2 imagery into sharper, 2.5-meter data suitable for real ...

Axial images at L1 level, without (left) and with (right) segmentation overlay. Red indicates skeletal muscle, green indicates trabecular bone, yellow indicates visceral fat, and blue indicates ...

Experience advanced SEM imaging with exceptional clarity and detail, all in a space saving design ideal for labs and research ...