In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of the technical foundations, deployment areas, clinical ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

Also, shedding light on how the Bengals might approach free agency and whether a Joe Burrow contract restructuring could ...