Emerging Artificial Intelligence Devices and The Underlying Technology

Avireni Srinivasulu, C. Ravariu
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引用次数: 1

Abstract

The future of artificial intelligence applications like machine learning, medical diagnosis, healthcare, remote sensing, robot control, transportation e.t.c depends on the hybrid architecture and software. It is mainly contingent on the nano-scale device technology and leads to the cost efficiency, software defined storage options etc. These requirements set rigorous constraints on less power, high speed, latency, and for certain data types, safety and solitude of computing platforms.
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新兴的人工智能设备和底层技术
机器学习、医疗诊断、医疗保健、遥感、机器人控制、交通等人工智能应用的未来取决于混合架构和软件。它主要取决于纳米级器件技术,并导致成本效率,软件定义存储选项等。这些要求对低功耗、高速度、延迟以及某些数据类型的计算平台的安全性和隔离性设置了严格的限制。
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