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Connected devices driven by 5G and the Internet of Things (IoT) are everywhere from autonomous vehicles, smart homes, healthcare to space exploration. Devices are becoming more intelligent. Massive amounts of data from multiple sources need to be processed quickly, securely, and in real time, having low latency. Cloud-based architecture may not fulfil these needs of futuristic AI-based systems, that require intelligence at the edge and the ability to process sparse events. Neuromorphic computing resolves the issues of the conventional processor architecture or the von Neumann architecture by separating processing and memory units. It mimics the human brain and its cognitive functions such as interpretation, autonomous adaptation; as well as supports in-memory processing at higher speeds, complexity, and better energy efficiency. As research continues, neuromorphic processors will advance edge computing capabilities and bring AI closer to the edge.

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Arijit Mukherjee

Senior Scientist, TCS Research

Sounak Dey

Senior Scientist, TCS Research

Vedvyas Krishnamoorthy

Business Development Manager, Technology Business Unit, TCS


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