New AI tool can revolutionize microscopy

An AI tool developed at the University of Gothenburg offers new opportunities for analyzing images taken with microscopes. A study shows that the tool, which has already received international recognition, can fundamentally ...

Autofocusing of microscopy images using deep learning

Optical microscopes are frequently used in biomedical sciences to reveal fine features of a specimen, such as human tissue samples and cells, forming the backbone of pathological imaging for disease diagnosis. One of the ...

Using artificial intelligence to manage extreme weather events

Can combining deep learning (DL)—a subfield of artificial intelligence—with social network analysis (SNA), make social media contributions about extreme weather events a useful tool for crisis managers, first responders ...

Optical network shapes pulses of light

A team of UCLA engineers and researchers has developed a new method to shape light pulses by creating physical networks that are composed specially engineered layers. These layers are designed using deep learning and then ...

DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

page 1 from 9