The rapid development of artificial intelligence (AI) applications has created enormous demand for high-performance and energy-efficient computing systems.
Edge computing will grow exponentially in the next few years, as more and more devices and applications demand low-latency, high-performance, and privacy-preserving computation at the edge of the network.
Data scientists and others may have concerns moving PyTorch, TensorFlow, and ONNX models to edge AI software applications – MERA makes it easy and is model-agnostic.
This post will cover the artificial intelligence (AI) processors and technologies presented in the recent Spring Processor Conference 2021 organized by The Linley Group