Linking pages
- Researchers Use Convolutional Neural Networks to Predict Airflow Characteristics in the Aerodynamic Profiles of High-Power Wind Turbines and Reduce Computational Time in Four Orders of Magnitude - MarkTechPost https://www.marktechpost.com/2022/08/13/researchers-use-convolutional-neural-networks-to-predict-airflow-characteristics-in-the-aerodynamic-profiles-of-high-power-wind-turbines-and-reduce-computational-time-in-four-orders-of-magnitude/ 1 comment
Linked pages
- Researchers Use Convolutional Neural Networks to Predict Airflow Characteristics in the Aerodynamic Profiles of High-Power Wind Turbines and Reduce Computational Time in Four Orders of Magnitude - MarkTechPost https://www.marktechpost.com/2022/08/13/researchers-use-convolutional-neural-networks-to-predict-airflow-characteristics-in-the-aerodynamic-profiles-of-high-power-wind-turbines-and-reduce-computational-time-in-four-orders-of-magnitude/ 1 comment
- This Artificial Intelligence AI Research Proposes A Novel NIR-VIS Face Generation Method To Address The Problem of Insufficient NIR-VIS Data For The Cross-Modality Face Recognition Network Training - MarkTechPost https://www.marktechpost.com/2022/11/15/this-artificial-intelligence-ai-research-proposes-a-novel-nir-vis-face-generation-method-to-address-the-problem-of-insufficient-nir-vis-data-for-the-cross-modality-face-recognition-network-training/ 1 comment
- AI Researchers from China Suggest a Robust Foundation for Multimodal Connection Extraction Based on an Implicit Fine-Grained Multimodal Alignment and Transformer - MarkTechPost https://www.marktechpost.com/2022/11/17/ai-researchers-from-china-suggest-a-robust-foundation-for-multimodal-connection-extraction-based-on-an-implicit-fine-grained-multimodal-alignment-and-transformer/ 1 comment
- Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way - MarkTechPost https://www.marktechpost.com/2022/11/14/computer-science-researchers-at-bytedance-developed-monolith-a-collisionless-optimised-embedding-table-for-deep-learning-based-real-time-recommendations-in-a-memory-efficient-way/ 0 comments