Authors: Liang Ma, Utpal Mangla, Satish Sadagopan, Mudhakar Srivatsa, Mathews Thomas and Dinesh Verma In our first blog we provided an overview of the challenges in implementing AI/ML at the edge. In our second blog we introduced coresets — machine learning algorithms to succinctly summarize the data from the edge…

Authors: Nirmit Desai, Wei-Han Lee, Utpal Mangla, Satish Sadagopan, Mudhakar Srivatsa, Matthews Thomas, Dinesh Verma In our first blog we provided an overview of the challenges in implementing AI/ML at the edge. In our second blog we discussed a solution to one of the challenges — how to intelligently sub-sample…

Authors: Supriyo Chakraborty, Wendy Chong, Utpal Mangla, Satish Sadagopan, Mudhakar Srivatsa, Mathews Thomas, Dinesh Verma, Shiqiang Wang In our first blog we discussed some of the challenges in implementing AI/ML at the edge. In our second article we discussed a solution to one of the challenges — how large volumes…

Authors: Wendy Chong, Utpal Mangla, Satish Sadagopan, Mudhakar Srivatsa, Mathews Thomas, Dinesh Verma, Shiqiang Wang Many modern applications generate a huge volume of data at edge devices, such as Internet of Things (IoT) sensors, cameras, smartphones, etc. With 5G, this is only expected to grow more. It is highly beneficial…