Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
AZoBuild

AI Model Restores Lost Bridge Data to Improve Structural Safety

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...
Devdiscourse

From data to safety: Artificial intelligence transforms coal mine risk management

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Cognizant's AI Lab Announces Breakthrough Research for Fine-Tuning LLMs and Records its 61st U.S. Patent Issuance

Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance

NVFP4 could dramatically lower the barrier for enterprises looking to train powerful, bespoke AI models from scratch.
eLife

Deep3DSIM: Super-resolution imaging of thick tissue using 3D structured illumination with adaptive optics

Deep3DSIM enables super-resolution imaging >130 µm into complex tissues of fixed and live specimens in an upright configuration, allowing sample manipulation, as well as rapid refocusing without the ...