Learn how data management strategies for design for manufacturing initiatives can also promote overall operational excellence ...
The message from the Cloud Native Computing Foundation (CNCF) was abundantly clear this year. AI is the new workload and ...
Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...
The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation defense by Lidan Cao on: “AI-Enhanced Field Reconstruction through ...
The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...
The increasing frequency of climate-related disasters, including hurricanes, wildfires, and heat waves, highlights the ...
Abstract: As a novel fast and effective intelligent algorithm, Broad Learning System (BLS) is popularly used in data classification task. However, the real data are often imbalanced, which makes BLS ...
Key Features Horizontal Fragmentation - Data split by geographic location Data Replication - Catalog replicated across all nodes Distributed Queries - Query processing across multiple nodes ...
Abstract: This paper investigates anticipatory decision for unknown distributed systems with robustness concerns. Anticipatory decision focuses on action selection before observations appear at ...
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