Abstract: Deep learning has significantly advanced speech enhancement (SE) by exploiting hierarchical representations to model complex speech patterns. However, deploying these models on ...
The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...
Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
In the Information Age, even cows aren’t safe from data collection. Researchers at the Southern University Agricultural Research Station monitor calves using a hard plastic pill containing sensors, ...
This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...
A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...
GE HealthCare has won FDA Premarket Authorization (PMA) for its Pristina Recon DL technology for 3D mammography image reconstruction. GE HealthCare says it’s the first mammography technology that ...
Abstract: Advanced wireless communication systems adopt deep learning (DL) approaches to achieve automatic modulation recognition (AMR) for spectrum monitoring and management, especially in the ...
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