InfoQ

NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges

Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for ...
IEEE

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
IEEE

Comprehensive Information Extraction with Separable Representation Learning for Multi-View Clustering

Abstract: Deep Multi-View Clustering (MVC) methods partition multi-view data into disjoint clusters in an unsupervised manner, showing significant promise across various domains. However, current MVC ...
WPXI

US Steel donates $500K to build multi-use fieldhouse at Tyler Boyd Stadium in Clairton

CLAIRTON, Pa. — A large donation is boosting local youth athletics and education. On Friday, U.S. Steel presented a $500,000 check to Clairton City School District for improvements at Tyler Boyd ...
Scientific Research Publishing

Guo, G., Wang, H., Bell, D., Bi, Y. and Greer, K. (2003) KNN Model-Based Approach in Classification. In: Meersman, R., Tari, Z. and Schmidt, D.C., Eds., Lecture Notes in ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...