Nature

Optimization of deep learning architecture based on multi-path convolutional neural network algorithm

Current multi-stream convolutional neural network (MSCNN) exhibits notable limitations in path cooperation, feature fusion, and resource utilization when handling complex tasks. To enhance MSCNN’s ...
Nature

Neural architecture search using attention enhanced precise path evaluation and efficient forward evolution

Predictor-based Neural Architecture Search (NAS) utilizes performance predictors to swiftly estimate architecture accuracy, thereby reducing the cost of architecture evaluation. However, existing ...

What AI benchmarks miss about real-world performance

Enterprise AI teams have spent years solving for compute, securing GPU allocations, negotiating cloud capacity, and ...
Forbes

Data Architecture: How Tech Leaders Can Future-Proof Their Analytics Strategy

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...
Forbes

Modern Data Architecture Looks Better On Paper Than In Production

Every data modernization effort starts with a blueprint. The architecture looks clean. The data flows are defined. The platform choice is justified. Whether it is a data warehouse, a data lake or a ...