IEEE

Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price ...

Abstract: Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually ...
The Chosun Ilbo on MSN

Universities bridge AI education gap for regional students

Recently, in a lecture room at the Daegu Startup Hub in Dong-gu, Daegu, Kim Soo-pil, a senior researcher at the Daegu ...
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 ...
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 ...