GitHub

Neural interface system that uses machine learning to decode brain signals and generate immersive virtual worlds

DreamWalk is a neural interface platform that bridges neuroscience and artificial intelligence to create immersive virtual experiences. The system uses machine learning algorithms to decode real-time ...
eLife

Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...
IEEE

Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
IEEE

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection

Abstract: Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to ...
EWN Sport

DStv cuts decoder prices, allows split payments to share subscriptions

DStv has lowered the upfront cost of its decoder, announced additional channels for its entry-level package, and introduced a new split-payment feature to retain customers. The changes were announced ...
GitHub

L2M: Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space

Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...