Technique enables AI on edge devices to keep learning over time
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
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With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
In today’s digital age, seamless logistics management is crucial for every enterprise that handles physical goods. From transportation companies to e-commerce giants, efficient supply chain operations form the backbone of…
In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate…
This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to…
A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a pipeline can be challenging, it becomes…
Data has become the lifeblood of successful marketing strategies in today’s digital age. The advent of Big Data has inundated marketers with an overwhelming amount of information about their customers,…
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
In the digital age, Artificial Intelligence (AI) and Machine Learning (ML) fields have emerged as revolutionary technologies, transforming industries and shaping the future of various domains. As these technologies continue…
Road safety has been a priority of car manufacturers since the birth of the automotive production line. But could big data help make inroads in protecting drivers that’s never before…