Fault Detection and Classification Market Set to Grow $10.95 Billion by 2033 | SNS Insider

Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Targeted Oncology

AI Informs Cancer Research and Treatment: Change Is Coming

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...
IEEE

Severity Classification of Freezing of Gait Using Machine-Learning Algorithms: A Hidden State Model Approach

Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
JD Supra

The Evolving Role of Artificial Intelligence and Machine Learning in Expert Analyses

Artificial intelligence (AI) and machine learning (ML) are increasingly influencing many aspects of the legal sector, including legal expert analyses. To determine how often AI and ML are used in ...
Frontiers

Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model

Objective: To explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model. Methods: This ...