One AI Model, Any Device: Flexibly Slicable Network Cleans Up Speech from Earbuds to the Cloud
Researchers have built SEFlow, a single neural network that can be dynamically sliced into subnetworks of vastly different sizes to ...
Researchers have built SEFlow, a single neural network that can be dynamically sliced into subnetworks of vastly different sizes to ...
Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...
A systematic review of 80 peer-reviewed studies reveals that AI, especially deep reinforcement learning, is rapidly transforming how serverless cloud ...
Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...
Researchers have developed SA-IDS, a self-supervised intrusion detection system that learns normal behavior without labeled data and adapts to drift ...
A systematic review of 199 studies finds that drone-based remote sensing is transforming rice breeding and field management, while cross-regional ...
A new survey in Cluster Computing provides the first unified taxonomy of task scheduling and load balancing algorithms across cloud, ...
A new cloud-edge collaborative framework adapts speech-to-speech translation to any device's compute budget while preserving speaker identity through a privacy-preserving ...
A systematic review of 41 studies reveals that distributed machine learning, led by federated learning, is rapidly reshaping precision agriculture ...
A new systematic review of over 160 studies finds that reinforcement learning can make smart microgrids genuinely adaptive, but communication-aware ...
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© 2026 Scienmag - Science Magazine