Crowded places tend to be a hub for infectious disease transmission. The COVID-19 pandemic has shown us that it is necessary to find ways to manage crowded areas to help curtail the spread of ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Study: Deep Visual Proteomics defines single-cell identity and heterogeneity. Image Credit: Nature Biotechnology (Nat Biotechnol) - Creative Commons Attribution 4.0 International License Researchers ...

A new study finds that artificial intelligence systems that are designed with a biologically inspired architecture can ...

WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, ...

Early detection and molecular characterization of disease progression are persistent challenges in modern medicine. Although genomic and transcriptomic profiling of tissue lesions and precursors has ...

Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...

To put it briefly, the AI sees more than just pixels. It perceives significance. And the power of visual search is in that ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...