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 […]
For Edge AI and Embedded engineers overseeing the deployment of Machine Learning (ML) solutions, particularly in the realm of TinyML […]
The journey of a machine learning model doesn’t end with training; it culminates in deployment. TensorFlow’s robust ecosystem provides tools,
It is amazing how many sensors we are surrounded by without realizing it. If you have a smartphone, then this
CNNs are widely used in the field of deep learning, particularly for tasks involving image and video recognition. A convolutional
Retail shrinkage is a staggering problem for the industry, amounting to a $130 billion issue that is growing at a rate
Over the last few weeks, we have gone through the details of the effort required to get up and running
There is always a tug of war between monitoring and privacy. How much monitoring is too much, and how much
That moment at the self-checkout is all too familiar. You’ve got a cart full of fresh, healthy produce, but instead
The manufacturing sector is undergoing a massive transformation driven by Industry 5.0, and Edge AI is a key enabler of
In our previous posts, we went through the various steps in building a successful Edge AI roadmap from framing the