NSTC Research Projects

1. 基於量化、剪枝與架構搜索之 AI 模型壓縮技術研究

AI Model Compression via Quantization, Pruning, and Architecture Search
- Partner: NSTC (Academic Research)
- Technology: AI Model Optimization
- Description: Researched methods to reduce AI model size and complexity through quantization, pruning, and neural architecture search.

2. 應用基於深度學習技術之影像指紋技術偵測影片竄改

2. Deep Learning-Based Image Fingerprinting for Video Tampering Detection

Partner: NSTC (Academic Research)
Technology: Computer Vision, Deep Learning
Description: Developed image fingerprinting technology to detect unauthorized video modifications.

3. 應用基於深度增強式學習之自我組織網路在網路切片、異質網路及裝置對裝置問題上研究

3. Deep Reinforcement Learning for Self-Organizing Networks

Partner: NSTC (Academic Research)
Technology: Deep Reinforcement Learning, Communications Networks
Description: Applied deep reinforcement learning to self-organizing networks for network slicing, heterogeneous networks, and device-to-device communication challenges.

4. 以大數據技術為基礎之次世代行動通訊自我組織網路機制之研究

4. Big Data-Based Self-Organizing Mechanisms for Next-Generation Mobile Networks

Partner: NSTC (Academic Research)
Technology: Big Data, Communications Networks
Description: Researched big data techniques to build self-organizing and optimized mechanisms for next-generation mobile networks.

5. 設計與實作基於 Transformer 之語音轉語音模型協助失聾人士實現語音轉換

5. Transformer-Based Speech-to-Speech Model for Deaf Individuals

Partner: NSTC (Academic Research)
Technology: Speech Processing, Deep Learning
Description: Developed a Transformer-based speech-to-speech model to assist deaf individuals with communication.

6. 基於 Transformer 模型之圖像轉語音視障人士輔助系統

6. Transformer-Based Image-to-Speech System for the Visually Impaired

Partner: NSTC (Academic Research)
Technology: Computer Vision, Speech Processing, Deep Learning
Description: Created a system to convert image content into speech descriptions to aid visually impaired individuals.