ML Drift open source release puts Google's battle-tested on-device GPU inference engine -- already running YouTube Shorts at 40% lower frame latency, Google Photos 2 seconds faster, and Snapchat at 30 ...

A new Mamba-based segmentation network combines four-directional state space scanning, spatially guided channel attention, and parameter-free anatomical constraints to outperform U-Net, SwinUNet, and ...

Researchers have developed a graph-based deep learning network that decodes imagined movements from EEG signals with accuracies of up to 87.5 percent on standard benchmarks.

Recent advancements in compute-in-memory (CIM) technology have garnered substantial interest, representing a promising shift in the computing paradigm. While conventional CIM systems using ...

Abstract: Gait restoration is a critical challenge in medical rehabilitation, typically involving both neural signal decoding and stimulation encoding. This paper presents the design and FPGA ...

Abstract: Fully convolutional encoder-decoder networks have been developed for the segmentation of sensing synthetic aperture radar (SAR) images. A recent one called the multiscaled attention U-net ...

This repo is the official implementation of "DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention". Apr 21, 2024: 🔥🔥🔥 The implementation for ...

To address the shortcomings of standard convolutional neural networks (CNNs), the model structure is complex, the training period is lengthy, and the data processing technique is single. A modified ...

Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other ...