Valence AI, an emotional intelligence infrastructure company, today announced $5 million in total funding, including a seed round led by Differential Ventures, with participation from Difference ...

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...

The need for reliable, scalable systems to monitor and safe-guard wildlife has been highlighted by the rapid decline in biodiversity. Conventional ecological surveys are frequently time-consuming, ...

Illegal, synthetically narrated copies of “The Hunger Games,” hit self-help books and everything in between are increasingly common on the platform. By Alexandra Alter By most measures, John Grisham’s ...

Logo classification is crucial in various applications, including brand monitoring, copyright protection, and digital forensics. Traditional computer vision techniques face significant limitations, ...

Val Kilmer died in 2025, but fans might still get to see him in 'As Deep as the Grave' using AI technology. Here's what the film director said about the opportunity. “He was the actor I wanted to play ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental ...

Physicians can distinguish between abnormal and normal lung conditions more easily with the help of an AI stethoscope. A well-trained deep learning model (DLM) for lung sounds classification is the ...

With the growing need for sustainable development, land cover classification has become an essential task in environmental monitoring and planning. Remote sensing technologies now provide ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...