The Financial Express

How Mark Zuckerberg’s brain-to-text AI model promises to outshine Elon Musk’s Neuralink

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
GitHub

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention ...

This repository is the official implementation of Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks . 27.06.2022 Major Bugfix 🪲 A bug in the panoptic ...
IEEE

A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks ...

Abstract: Encoding-decoding convolutional neural networks (CNNs) play a central role in data-driven noise reduction and can be found within numerous deep learning algorithms. However, the development ...
C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and ...

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
GitHub

dimitrisdais/crack_detection_CNN_masonry

This GitHub Repository was produced to share material relevant to the Journal paper Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer ...
IEEE

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for ...

Abstract: Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the ...