Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...

The study was published in the June 2025 issue of American Journal of Ophthalmology; researchers conducted a retrospective ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN). “The model ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings. The model reduces the need for invasive procedures by using a single ...