Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
IEEE

Ensemble Deep Bidirectional GRU Network With Grey Wolf Optimizer for Spacecraft Fault Diagnosis

Abstract: With the growing complexity of modern spacecraft, traditional model-based fault diagnosis methods require substantial engineering effort, resulting in higher development costs. In response ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Cancer Therapy Advisor

Deep Learning Ensemble Shows Potential for Identifying Melanoma

(HealthDay News) — A deep learning ensemble integrating three architectures shows potential for accurate melanoma detection, according to a study published in the December issue of Biosensors and ...
GitHub

DEEM - Deep Ensemble Energy Models

DEEM is a Python library for unsupervised ensemble learning using deep energy-based models. It uniquely discovers latent true labels from diverse, noisy unsupervised sources by disentangling ...
IEEE

Numerical Square Method-Enhanced Ensemble Deep Learning for Accurate Demodulation of FBG Spectra

Abstract: This paper introduces ensemble deep learning (EDL) models for accurate demodulation of Fiber Bragg Grating (FBG) sensor spectra, with input training data enhanced through the numerical ...
GEN

Deep Learning Predicts Cell Behavior Dynamics in Early Drosophila Development

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
Game Rant

How to Fast Travel in Silksong

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.
Scientific Research Publishing

Sakib, M., Mustajab, S. and Alam, M. (2025) Ensemble Deep Learning Techniques for Time Series Analysis: A Comprehensive Review, Applications, Open Issues, Challenges, and ...

ABSTRACT: Bipolar disorder is a severe psychiatric condition characterized by mood instability, and a specific subtype known as rapid cycling presents with frequent mood episodes, complicating ...