AI adoption has started to gather pace in industrial manufacturing. It serves as a key enabler for industrial transformation and is playing a huge role in Industrial 4.0. However, moving beyond the hype, it is critical for the industry to quantify this …
As AI moves to the edge, edge AI chipsets becomes more important. Edge AI chipsets refers to computational chipsets focusing on AI workload that is typical deployed in edge environments, which include end devices, gateways and on-premise servers. This c…
One of the key factors behind the rise of artificial intelligence (AI) is the upgrade in cloud computing power. This is largely driven by the enhancement and upgrade in cloud AI chipsets. Cloud AI chipsets are computational chipsets focusing on AI workl…
Digital Transformation 2019: 5G, AI, Big Data Analytics, Blockchain, Cloud and Mobile Edge Computing, Connected and Wearable Devices, Cybersecurity, Digital Twins and Teleoperation, IoT, Robotics, Smart Cities, and Virtual Reality
Traditionally, artificial Intelligence (AI) training and inference workload has been focused in the cloud. However, the competition amongcloud AI service providershas beenextremely fierce and this has led to commodization of cloud AI services. In respon…