A color changing neuromorphic transistor uses ion movement to retain recent tactile signals and display pressure patterns, ...

Researchers have developed a new artificial intelligence-based method that could significantly improve the speed and accuracy ...

Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and classification of brain tumors from MRI scans, achieving higher accuracy than ...

A school project prompted 17-year-old Edward Kang to develop an AI tool that may lead to earlier diagnoses of the disorders.

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...

Abstract: Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs). Although ...

Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and ...

This is an official implementation of the paper "PCC net" (PCC Net: Perspective Crowd Counting via Spatial Convolutional Network). In the paper, the experiments are conducted on the three populuar ...

has been cited by the following article: ...

2026/06/02: add fixes and troubleshooting notes for open GitHub issues: safe FPS indexing during test, corrected Hausdorff calculation, more robust CGAL evaluation compilation/P2F handling, HDF5 ...

Many autistic adults have spent years wondering why interactions that seem natural for others require so much mental effort. The thing is, autism doesn’t go away; it just becomes less obvious over ...