top of page


CPU vs GPU and the Application of CUDA
Introduction Modern computing depends heavily on two major types of processors: the Central Processing Unit (CPU) and the Graphics Processing Unit (GPU). Although both execute instructions and perform calculations, they are designed for very different workloads. The CPU is optimized for general-purpose computing, sequential operations, operating-system tasks, and complex decision-making. The GPU, on the other hand, is designed to perform large numbers of similar calculations
Nhung Nguyen
Oct 410 min read


What Is a Semiconductor and Its Application in Designing Chips for AI
Semiconductors are the foundation of modern electronics. Almost every digital device we use today—from smartphones and computers to electric vehicles, data centers, and artificial intelligence systems—depends on semiconductor technology. The rapid development of artificial intelligence has made semiconductors even more important. Training and running sophisticated AI models requires enormous computing power, which has driven demand for specialized AI chips such as GPUs, AI ac
Nhung Nguyen
Oct 410 min read


Beyond TensorFlow: The Most Important Tools for Training Machine Learning Models
Introduction When people start learning artificial intelligence and machine learning, TensorFlow is often one of the first technologies they encounter. Developed by Google, TensorFlow provides a powerful ecosystem for building, training, evaluating and deploying machine learning and deep learning models. However, TensorFlow is not the only tool available for training machine learning models. Depending on the type of data, business problem, model architecture and level of comp
Nhung Nguyen
Oct 49 min read


TensorFlow in Training Data: A Practical Guide to Building and Training Machine Learning Models
Introduction In modern artificial intelligence, training data is one of the most important components of a machine learning system. A model can only learn meaningful patterns when it is provided with sufficient, relevant, and properly prepared data. TensorFlow is one of the most widely used frameworks for building machine learning and deep learning models. Developed by Google, TensorFlow provides tools for preparing datasets, designing neural networks, training models, evalua
Nhung Nguyen
Oct 410 min read


Generic AI vs Agentic AI: Understanding the Evolution of Artificial Intelligence
Artificial Intelligence (AI) has rapidly evolved over the past decade. While many people are familiar with AI tools such as ChatGPT, Claude, Gemini, and image generators, a new generation of AI systems is emerging—Agentic AI. Although both Generic AI and Agentic AI leverage powerful large language models (LLMs), they are designed for fundamentally different purposes. Understanding the distinction is essential for businesses, developers, and professionals seeking to adopt AI e
Nhung Nguyen
Jun 308 min read
bottom of page