Quantization in Edge AI – What, Why and How
For Edge AI and Embedded engineers overseeing the deployment of Machine Learning (ML) solutions, particularly in the realm of TinyML […]
From Training to Tiny: Deploying TensorFlow Models with TFLite
The journey of a machine learning model doesn’t end with training; it culminates in deployment. TensorFlow’s robust ecosystem provides tools,
All the Sensors in your Pocket
It is amazing how many sensors we are surrounded by without realizing it. If you have a smartphone, then this
Convolutional Neural Networks(CNNs) – Model Summary
CNNs are widely used in the field of deep learning, particularly for tasks involving image and video recognition. A convolutional
Retail Loss – The $130B Heist
Retail shrinkage is a staggering problem for the industry, amounting to a $130 billion issue that is growing at a rate
Edge AI Readiness Self Assessment
Over the last few weeks, we have gone through the details of the effort required to get up and running
Health monitoring with Edge AI – Privacy first
There is always a tug of war between monitoring and privacy. How much monitoring is too much, and how much
The End of the PLU Puzzle: How Edge AI is Revolutionizing Your Grocery Checkout
That moment at the self-checkout is all too familiar. You’ve got a cart full of fresh, healthy produce, but instead
Edge AI: Driving Efficiency, Quality & Innovation in Manufacturing
The manufacturing sector is undergoing a massive transformation driven by Industry 5.0, and Edge AI is a key enabler of
Edge AI Roadmap – Deployment and Maintenance
In our previous posts, we went through the various steps in building a successful Edge AI roadmap from framing the