Industrial AI's Real Bottleneck Isn't the Algorithm

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...
Justdial on MSN

Understanding the types of machine learning and their power in AI

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
The Province on MSN

Canucks Coffee: Big data in hockey, plus the Guenther return

I chuckled a little when hearing declarations that NHL teams are looking more and more toward AI.
Tech Xplore

Living brain cells enable machine learning computations

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
IEEE

FedGDS: Federated Semi-Supervised Learning Algorithm Based on Evidence Theory and Graph Convolution

Abstract: Traditional deep learning methods have achieved remarkable success by leveraging large-scale labeled datasets. However, in real-world applications, acquiring labeled data is often expensive, ...
IEEE

Fine-grained Object Recognition Algorithm Based on Self-Supervised Representation Learning of Multi-View Infrared Images

Abstract: Utilizing multi-view infrared images to collaboratively identify the types of surface ship targets is a feasible approach in practice. This paper proposes a fine-grained object recognition ...