The appellate authority held that interactive flat panel displays are primarily large display devices. Despite embedded ...

AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Abstract: Robust Federated Learning (RoFL) extends traditional federated learning, not only by enabling multiple clients to collaboratively train a shared model under the coordination of an edge ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...

Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...