With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

A satellite-based system using machine learning to detect wildfires across Cyprus 24 hours a day has been presented in Limassol, seeking to give first responders earlier and more reliable warnings of ...

Bynn recorded a True Positive Rate of 72.53%, the highest result listed in the NIST evaluation. The second-ranked submission achieved 64.06%, giving Bynn a lead of 8.47 percentage points.

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

Fossil finds are exciting moments that sometimes introduce the world to an ancient mammal or dinosaur that existed millions ...

Researchers have developed a new computational approach that enables more accurate selection of genes that characterize ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

Abstract: Multilabel classification (MLC) deals with instances associated with multiple labels simultaneously and often includes high dimensional data with noisy, irrelevant, and redundant features.

Addressing fairness and incorporating uncertainty estimation with selective classification are key contributions that can enhance the clinical utility and responsible implementation of such systems.