AI on the Edge Evolving Rapidly with Specialized Chips - AI Trends

Edge computing brings computation and data storage closer to where it is needed, to improve response times and save bandwidth. Now more AI is being incorporated into edge devices, from IoT devices to smartphones to automobiles, as edge compute power increases and AI algorithms improve. As the edge computer processes, only a subset of data generated by sensors is sent to the cloud, saving on bandwidth and cloud storage costs, according to a recent account in Forbes. Decisions can be made faster using AI models on the edge that have been trained via machine learning in the cloud. A deep learning model deployed at the edge may see slower inferencing.