Morning Overview on MSN

Different AI models are converging on how they encode reality

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
ahajournals.org

Abstract P3089: Predicting Reductions In Hemoglobin A1c From Large Dietary Datasets Using Artificial Intelligence Pipeline With Interpretable Encoder-Decoder Deep Neural Networks

Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...
marktechpost

NVIDIA AI Just Open Sourced Canary 1B and 180M Flash – Multilingual Speech Recognition and Translation Models

In the realm of artificial intelligence, multilingual speech recognition and translation have become essential tools for facilitating global communication. However, developing models that can ...
IEEE

SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion

Abstract: This study presents a deep learning (DL)-based approach to the seismic velocity inversion problem, focusing on both noisy and noiseless training datasets of varying sizes. Our seismic ...
Frontiers

Deep learning for ultrafast X-ray scattering and imaging with intense X-ray FEL pulses

1 Center for Transformative Science, ShanghaiTech University, Shanghai, China 2 School of Physical Science and Technology, ShanghaiTech University, Shanghai, China The advent of X-ray Free Electron ...
IEEE

An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction

Abstract: The prediction of traffic in regards to data services can be leveraged by cloud and edge computing orchestration mechanisms in order to minimize the costly number of resources being utilized ...