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The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits. It covers important topics such as photonic communication, optical and photonics neural networks, neuromorphic computing, quantum optics, and artificial intelligence leap in optical sensors, including biophotonics.
This book:
Provides insights about the advancement in optoelectronics devices using artificial intelligence.
Discusses artificial intelligence-integrated photonic crystal fiber-based devices.
Covers artificial intelligence-integrated quantum networks for 6G communication and artificial intelligence-enhanced quantum optical devices.
Presents neuromorphic computing for photonic circuits and deep learning-enabled optical sensors.
Showcases development in artificial intelligence for biophotonics applications, deep learning revolution in optical networks.
It is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.
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The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits. It covers important topics such as photonic communication, optical and photonics neural networks, neuromorphic computing, quantum optics, and artificial intelligence leap in optical sensors, including biophotonics.
This book:
Provides insights about the advancement in optoelectronics devices using artificial intelligence.
Discusses artificial intelligence-integrated photonic crystal fiber-based devices.
Covers artificial intelligence-integrated quantum networks for 6G communication and artificial intelligence-enhanced quantum optical devices.
Presents neuromorphic computing for photonic circuits and deep learning-enabled optical sensors.
Showcases development in artificial intelligence for biophotonics applications, deep learning revolution in optical networks.
It is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.