Data-Centric Launch
HPC Platform and Memory Technologies
PDF) Masked face with facial expression recognition based on deep learning
Analyzing and Mitigating Data Stalls in DNN Training
Analyzing and Mitigating Data Stalls in DNN Training
![PDF] ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3ddb68f6990542b76e2d48e6f2b9e15918185b44/3-Table1-1.png "PDF] ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health | Semantic Scholar")
PDF] ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health | Semantic Scholar
No New Builds for Any Lineage for Micro G Devices · Issue #166 · lineageos4microg/docker-lineage-cicd · GitHub
Performance Evaluation of Convolutional Networks on Heterogeneous Architectures for Applications in Autonomous Robotics
2nd Gen Intel® Xeon® Scalable Processors Brief
HPC Platform and Memory Technologies
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models - ScienceDirect
Cloud-Native Hybrid-Multicloud Platform with NFV
Sensors | September 2018 - Browse Articles
2nd Gen Intel® Xeon® Scalable Processors Brief
Diagnostics | Free Full-Text | Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images
Electronics | Free Full-Text | Deep-Learning-Assisted Multi-Dish Food Recognition Application for Dietary Intake Reporting
Diagnostics | Free Full-Text | Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images
Ai in The 5g Network White Paper | PDF | Artificial Intelligence | Intelligence (AI) & Semantics
PDF) Deep-Learning-Assisted Multi-Dish Food Recognition Application for Dietary Intake Reporting
2nd Gen Intel® Xeon® Scalable Processors Brief
Diagnostics | Free Full-Text | Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of rea
