Detection of bottom-of-sulcus dysplasia (BOSD) is better with an automated detector combining fluorodeoxyglucose positron ...

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, introduced a significant development—Multi-Class Quantum Convolutional Neural Network (Quantum ...

Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on retinal thickness.

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

They are using the pattern recognition capabilities of AI to sort a cacophony of caws and rumbles and chatter into individual ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...

Simple quantum-classical neural networks achieve good results in classifying lesions with fewer computational parameters.

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

“Nanos flip the deployment model,” said Liquid AI Chief Executive Ramin Hasani. “Instead of shipping every token to a data ...