This tiny, tamper-proof ID tag can authenticate almost anything
MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.
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MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
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…
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.
Data, and more specifically using data, is not a new concept, but it remains an elusive one. It comes with terms like “the internet of things” (IoT) and “the cloud,”…