Prof. Baile CHEN
Associate Professor, School of Information Science and Technology, ShanghaiTech University
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When III-V Photodiodes Meet AI: Enabling Miniaturized Spectrometers and Faster Optical Links
Abstract
III-V semiconductor photodiodes serve as fundamental components for optoelectronic systems, with AI technologies now unlocking unprecedented performance. In this presentation, I will highlight two transformative applications of III-V photonics: (1) chip-scale single-pixel spectrometers enabled by our novel p-Graded-n architecture, offering compact, intelligent spectral analysis for portable sensing applications, and (2) record-breaking uni-traveling-carrier (UTC) photodiodes achieving >220 GHz bandwidth - a milestone that empowers next-generation AI optical interconnects with unprecedented data speeds. Together, these advancements demonstrate how the fusion of III-V photonics and AI is driving simultaneous breakthroughs in miniaturized spectroscopy and ultra-high-speed optical communications, opening new frontiers for smart sensing and computing systems.
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Prof. Tiejun CUI
Professor, Department of Electromagnetics, Southeast University
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AI for InfoMeta and InfoMeta for AI
Abstract
In this presentation, I firstly introduce the concept and principles of information metamaterial (InfoMeta), and its relation with artificial intelligence (AI). Through digital coding representation, InfoMeta makes metamaterials be evolved from passive to active and from analog to digital and fuses the electromagnetic space and digital space. InfoMeta has three key features: 1) controls the electromagnetic waves in real time and in programmable way, fostering reconfigurable intelligent surface (RIS) technology and establishing a new paradigm for 6G intelligent programmable wireless environments; 2) controls the electromagnetic waves and processes digital information simultaneously, laying the foundation for electromagnetic information theory and developing new architecture for low-power wireless systems; and 3) is easy to integrate with AI technologies. I will present more details on how AI algorithms are used in InfoMeta to conduct intelligent and smart tasks, and how InfoMeta improves the AI technologies to build up intelligent systems and large electromagnetic models.
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Prof. Shinhyun CHOI
Professor, Department of Electromagnetics, Southeast University
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Development of Reliable Emerging Memory Devices and Future Perspectives
Abstract
Artificial intelligence (AI) will enable machines to think and solve complex tasks like human beings. In recent years, artificial neural networks have improved recognition and classification accuracy. However, state-of-the-art deep learning algorithms require large network models with multiple layers, which pose significant challenges for complementary metal-oxide-semiconductor (CMOS) implementation due to limitations in conjoining computation, memory, and communication requirements in large networks. As an alternative hardware platform, emerging memories have been proposed for weight storage and fast parallel neural computing with low power consumption. The parallelism property of the crossbar arrays for matrix-vector multiplication enables significant acceleration of core neural computations. In this talk, Prof. Choi will present a systematic study on the fundamental understanding of emerging memory devices (RRAM and PRAM). He will talk about the approach how to achieve highly reliable artificial neurons and synapses for neuromorphic computing which can be a key step paving the way towards post von Neumann computing. In addition, he will also introduce the application of developed crossbar network, which suggests potential applications of emerging memory/computing device-based network to effective data processing for solving real-world problems. He will also talk about his recent work on phase change memory that shows low power consumption with cheap fabrication process.
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Prof. Tiejun CUI
Professor, Department of Electromagnetics, Southeast University
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AI for InfoMeta and InfoMeta for AI
Abstract
In this presentation, I firstly introduce the concept and principles of information metamaterial (InfoMeta), and its relation with artificial intelligence (AI). Through digital coding representation, InfoMeta makes metamaterials be evolved from passive to active and from analog to digital and fuses the electromagnetic space and digital space. InfoMeta has three key features: 1) controls the electromagnetic waves in real time and in programmable way, fostering reconfigurable intelligent surface (RIS) technology and establishing a new paradigm for 6G intelligent programmable wireless environments; 2) controls the electromagnetic waves and processes digital information simultaneously, laying the foundation for electromagnetic information theory and developing new architecture for low-power wireless systems; and 3) is easy to integrate with AI technologies. I will present more details on how AI algorithms are used in InfoMeta to conduct intelligent and smart tasks, and how InfoMeta improves the AI technologies to build up intelligent systems and large electromagnetic models.
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Prof. Tiejun CUI
Professor, Department of Electromagnetics, Southeast University
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AI for InfoMeta and InfoMeta for AI
Abstract
In this presentation, I firstly introduce the concept and principles of information metamaterial (InfoMeta), and its relation with artificial intelligence (AI). Through digital coding representation, InfoMeta makes metamaterials be evolved from passive to active and from analog to digital and fuses the electromagnetic space and digital space. InfoMeta has three key features: 1) controls the electromagnetic waves in real time and in programmable way, fostering reconfigurable intelligent surface (RIS) technology and establishing a new paradigm for 6G intelligent programmable wireless environments; 2) controls the electromagnetic waves and processes digital information simultaneously, laying the foundation for electromagnetic information theory and developing new architecture for low-power wireless systems; and 3) is easy to integrate with AI technologies. I will present more details on how AI algorithms are used in InfoMeta to conduct intelligent and smart tasks, and how InfoMeta improves the AI technologies to build up intelligent systems and large electromagnetic models.
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Prof. Wanlin GUO
Chair Professor in Mechanics and Nanoscience, Institute of Nanoscience, Nanjing University of Aeronautics and Astronautics
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