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Chiba University Researchers Develop Topology-Aware AI To Decode Brain Signals For Thought-Controlled Devices

Researchers at Chiba University have developed the Topology-Aware Multiscale Feature Fusion (TA-MFF) network, an advanced ...

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
New Atlas

How AI is sequencing the genomes of all known living species on Earth

An ambitious plan to sequence genomes for 1.85 million eukaryotic species on our planet is underway. It's a massive ...

CoLab gets $72M in funding to capture the knowledge of the world’s best engineers

CoLab Software Inc., a creator of artificial intelligence tools designed to help automate engineering tasks, said today it ...
IEEE

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

Abstract: Due to the irregular and disordered data structure in 3D point clouds, prior works have focused on designing more sophisticated local representation methods to capture these complex local ...
IEEE

DPSNET: A Dual-Path Lightweight Network With Semantic-Guided Cross-Modal Feature Fusion for Multimodal Object Detection

Abstract: Multimodal object detection is crucial for autonomous driving and intelligent surveillance. However, the existing methods face critical challenges, such as cross-modal semantic misalignment ...