Neuromorphic Computing is a computing paradigm that models hardware and algorithms after the structure and dynamics of biological neural systems. It uses architectures such as spiking neural networks and event-driven processing to achieve high energy efficiency and low latency. Neuromorphic systems integrate memory and computation, enabling parallel processing and adaptive learning. They are applied in areas such as sensory processing, robotics, edge AI, and real-time pattern recognition.
Eric C. Blow of NEC Laboratories America presents a keynote at COOL Chips 29 in Tokyo, exploring multi-modal photonic computing for real-time, ultra-efficient inference. This work highlights how photonics is reshaping AI performance, enabling faster and more energy-efficient processing across next-generation systems.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.