News Medical

Ensemble deep learning models enhance early diagnosis of Alzheimer's disease using neuroimaging data

EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

Explainable AI Market Will Reach $34.6 Billion by 2033 - Interview Kickstart's Adds XAI Specialization to Machine Learning Course

SANTA CLARA, CA - October 30, 2025 - - The global demand for Explainable AI (XAI) is accelerating as organizations seek ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
JSTOR Daily

Using traffic data to identify land-use characteristics based on ensemble learning approaches

The land-use identification process, which involves quantifying the types and intensity of human activities at a regional level, is a critical investigation step for ongoing land-use planning. One ...

Alif Semiconductor elevates generative AI at the edge with new support for ExecuTorch Runtime in its Ensemble MCUs

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...
Devdiscourse

Machine learning to deep learning: The new frontline in global phishing defense

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...
New Electronics

Alif Semiconductor providing support for ExecuTorch Runtime in Ensemble MCUs

Alif Semiconductor, a supplier of Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion ...