Edge AI : Revolutionizing Patient Care and Outcomes
Healthcare is at a crossroads. Aging populations, the rising burden of chronic diseases, and a global shortage of healthcare professionals […]
Edge AI: The Retail Revolution You Can’t Afford to Ignore
The retail landscape is undergoing a seismic shift, driven by the relentless march of technology. Edge AI is at the
Edge AI Roadmap – Development
In the previous post, we discussed the various design considerations for an Edge AI solution. Now, let us look at
Edge AI Roadmap – Designing Applications
In the previous posts, we talked about taking the first steps towards building an Edge AI solution. Once you frame
Edge AI Roadmap – Build a dataset
In the previous post, we understood how to frame a problem to validate whether it is a candidate for Edge
Edge AI Roadmap – Understand & Frame the Problem
In previous posts, we have discussed the sensors, processors, and algorithms that allow us to build solutions at the edge.
Algorithms at the Edge AI
In the previous post, we learned about the processors at the edge. In this post, we will try to understand
Processors at the Edge AI
Lets look at the different hardware devices that make the edge AI possible. We will also see how many of them can be combined to create value in a real-world situation. The key is to keep an eye on the BLERP analysis and understand which kind of device is suitable for which kind of data.
Sensors and Signals at Edge AI
Sensors are electronic components that give the edge devices the power to interact with the environment. Sensors give the devices
Responsible, Ethical and Effective AI
An extremely important part of an AI project is that it works correctly in the real world. AI being new