How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Capturing precise 3D details with a single camera has long been a challenge. Traditional methods often require complex ...

Research team designed PBCounter, a weighted model counting solver for pseudo-Boolean formulas. It uses variable elimination and dynamic programming with ADDs, outperforming state-of-the-art CNF-based ...

That's thanks to a collaborative effort between the Computer History Museum and Google. The source code, originally written ...

Autism spectrum disorder (ASD) is a growing global concern, affecting approximately 2.8% of children in the United States and 0.7% in China. ASD is characterized by challenges in social interaction, ...

A cavity magnon polariton system achieves 99.2% speech recognition accuracy using reservoir computing while consuming just ...

WEDNESDAY, March 19, 2025 (HealthDay News) — A graph neural network using data from the Multicenter Epilepsy Lesion Detection ...

Researchers have mapped the long-range synaptic connections involved in vocal learning in zebra finches, uncovering new ...

A first-of-its-kind artificial intelligence (AI)-based neural network can rapidly analyze and interpret millions of cells ...

In this research, we designed convolutional neural networks (CNNs) for five diseases that affect apple tree leaves based on the AlexNet model. First, the coarse-grained features of the disease are ...