A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a ...

Generative AI speeds medical image analysis without impacting accuracy 10 Jun 2025 Tami Freeman Samir Abboud: “For me and my colleagues, it’s not an exaggeration to say that it doubled our efficiency.

A new technical paper titled “Scanning electron microscopy-based automatic defect inspection for semiconductor manufacturing: a systematic review” was published by researchers at KU Leuven and imec.

Detailing its algorithms—the ways it processes information as revealed by its structure and wiring—could inspire more advanced AI. This month, the Machine Intelligence From Cortical Networks (MICrONS) ...

The Dark Energy Spectroscopic Instrument (DESI) is mapping millions of celestial objects to better understand dark energy—the mysterious driver of our universe's accelerating expansion. Today ...

Voluminous clouds of cosmic dust permeate our galaxy, but only recently has software allowed detailed observations of the stuff at scale.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

Researchers from the Karlsruhe Institute of Technology attending AutoPET, an international competition in medical image analysis, detail how algorithms can detect tumor lesions in positron emission ...

This concept is the basis for logistics management analyses and represents the qualitative computerized model for determining the upper limit of peacetime stockpiles and mobilization planning in ...

This means that a single image can effectively provide most of the information required for 3D digital reconstruction algorithms.