Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the ...

The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise ...

By Dr Silpaja Chandrasekar, PhDArtificial neural networks reshape how we predict renewable energy performance and reduce ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

New research explores the developmental trajectory of global functional neural networks before and after birth. A study ...

A study using zebrafish reveals how brainstem neural networks guide eye movement, offering a new model that mimics these networks to predict their activity, potentially aiding eye disorder treatments ...

A short-term memory circuit, for example, will remain in a single preferred state until a new stimulus comes along, causing ...

AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance.

To keep up with GenAI and its growing demands on memory, chip and system architectures are evolving to provide more ...

Brain-imaging data collected from fetuses and infants has revealed a rapid surge in functional connectivity between brain ...

The deep learning techniques are explored to improve the performance of traditional feature-based approaches. Specifically, a novel convolutional neural network (CNN) framework is proposed for time ...