“To resolve the efficiency challenge, AI software must communicate at a lower level with the hardware.” Graphcore For at least three decades, the AI community has patiently waited for Moore’s law to catch up. With the advent of GPUs, TPUs and other exotic silicon supplements, research accelerated. Machine learning models became more efficient. But, this…

The post Decoupling Software-Hardware Dependency In Deep Learning appeared first on Analytics India Magazine.