Research Papers & Technical Analysis
Deep dives into cutting-edge research papers, technical analyses, and academic insights across machine learning, embedded systems, and software engineering.
Research Categories
Machine Learning
Deep learning, neural networks, and AI research
12 papersEmbedded Systems
IoT, microcontrollers, and hardware research
8 papersSoftware Engineering
Architecture, patterns, and development methodologies
15 papersComputer Vision
Image processing, object detection, and visual AI
6 papersFeatured Research
Attention Is All You Need: A Deep Dive into Transformers
Comprehensive analysis of the groundbreaking paper that revolutionized NLP and led to ChatGPT, BERT, and modern language models.
Edge AI: Bringing Intelligence to Embedded Systems
Research review on optimizing neural networks for resource-constrained devices, including quantization and pruning techniques.
Recent Research Reviews
Real-Time Object Detection with YOLO: Performance Analysis
Comparative study of YOLO versions for real-time applications in autonomous systems and surveillance.
Microservices Architecture Patterns: A Systematic Review
Analysis of design patterns, challenges, and best practices in microservices-based distributed systems.
Federated Learning: Privacy-Preserving Machine Learning
Research on decentralized model training while keeping data localized and private across multiple devices.
RISC-V Processors: The Future of Open Hardware
Technical analysis of RISC-V architecture advantages for embedded systems and custom silicon development.