Kang Jun Bai

Air Force Research Laboratory United States of America

Dr. Kang Jun Bai is a research electronics engineer at the Air Force Research Laboratory Information Directorate (AFRL/RI). Before joining AFRL, he received his Ph.D. in Electrical Engineering from Virginia Tech in 2021, his M.S. in Embedded Electrical and Computer Systems from San Francisco State University in 2017, and his B.S. in Electrical Engineering from the same institution in 2014. His research interests include mixed-signal integrated circuit design and nanoelectronics devices for bio-inspired computing systems, model emulation for deep learning benchmarks, and the development of emerging applications for mobile edge platforms.

Kang Jun Bai

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Latest work with IntechOpen by Kang Jun Bai

Artificial Intelligence (AI) is a transformative technology that reshapes our daily lives. Machine Learning (ML), the engine of such a revolution, empowers computers to learn from data, driving innovation in areas such as medicine, robotics, and smart cities through edge applications. These applications bring AI processing closer to the data source, enabling real-time insights and decisions. This evolution is fueled by advancements in hardware and architecture: (1) neuromorphic computing promises unparalleled efficiency; (2) in-memory computing eliminates data access bottlenecks, while emerging memory materials offer denser, faster, and more energy-efficient storage. Looking ahead, AI promises even more profound changes. For instance, explainable AI will make decision-making more transparent, and truly autonomous systems will adapt to unforeseen circumstances. Last but not least, the convergence of AI with quantum computing could unlock entirely new possibilities. This journey showcases a deep understanding of both the theoretical foundations and practical applications of AI. It also demands careful consideration of ethical implications and a commitment to responsible development, ensuring that AI benefits all of humanity.

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