Two new open-source tools are set to make fluorescence lifetime imaging microscopy—or FLIM—faster, simpler and more ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estimation. However, due ...

Excire lets an AI judge handle its “People in Focus” Photography Competition, which features real photos; the results are in!

The automatic assessment of photo quality from an aesthetic perspective is a very challenging problem. Most existing research has predominantly focused on the learning of a universal aesthetic model ...

In this research, we use several deep learning methods with the word embedding feature to see their effect on increasing the evaluation value of classification performance from processing sentiment ...

This deep view of the Orion Constellation glows in reddish hues thanks to a filtered view of hydrogen alpha emission, a type of light emitted by hydrogen atoms. The large, intricate semi-circle ...

Robo Brain – a large-scale computational system that learns from publicly available Internet resources – is currently downloading and processing about 1 billion images, 120,000 YouTube videos, and 100 ...

It's the ultimate example of a "super star cluster." While most such clusters are about 10,000 times the sun's mass, Westerlund 1 is 50,000 to 100,000 times the solar mass. Some of its hundreds of ...

Project Overview This project aims to build a deep learning compiler and optimizer infrastructure that can provide automatic scalability and efficiency optimization for distributed and local execution ...

Training deep learning models on petabyte-scale Earth observation (EO) data requires separating compute resources from data storage. However, standard PyTorch data loaders cannot keep modern GPUs ...