How Embedded Machine Learning unblocks the potential of the currently unused enterprise data and enables a new wave of real-time, sustainable, and ROI generating applications.
How Embedded Machine Learning unblocks the potential of the currently unused enterprise data and enables a new wave of real-time, sustainable, and ROI generating applications.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
How Embedded Machine Learning unblocks the potential of the currently unused enterprise data and enables a new wave of real-time, sustainable, and ROI generating applications.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
From ANT to Zigbee, short-range wireless standards are everywhere these days. But looking at the history of technological innovation, we can say that consolidation is inevitable.
In this popular article first published in 2018, we demystify the long range capabilities of Bluetooth Low Energy with a range test you can repeat for yourself.
As children grow up in an increasingly connected world, it’s essential they understand not only the potential but also the inherent risks of emerging connected technologies.
In this article, we give an overview of the IoT connectivity landscape and provide some examples of typical use cases for each connectivity technology.
Proper lighting and indoor air quality go hand in hand when it
comes to productivity and people’s well-being. Discover how a Smart Light Solution for Indoor Air Monitoring helps schools and companies improve the air quality in their premises.