CU Independent

The Role of AI and Machine Learning in People Search Accuracy

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
DIGITIMES

Memorence AI Advances Instant Learning for Human-Machine Collaboration

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...
Devdiscourse

AI and Industrial IoT join forces to power next-gen predictive maintenance

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

2025's Top Machine Learning Platforms for Advancing AI Strategy Identified Through User Feedback by Info-Tech Research Group

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...

Pioneering ML operations infrastructure: Hemanth Kumar Padakanti architects a 30% reduced downtime, enterprise-grade inferencing platform

Hemanth Kumar Padakanti transformed Angi's AI capabilities by architecting a secure, automated MLOps platform that reduced ...
IEEE

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...
IEEE

Distributed Microservice Deployment for Satellite Edge Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach

Abstract: Low earth orbit (LEO) satellite networks are promising to carry out edge computing and reduce the service latency in future 6 G networks. Meanwhile, the microservice architecture provides a ...