Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
Matroid's computer vision obfuscates any data deemed sensitive in video media.
LwM2M may be the missing link to implement continual learning in TinyML projects.
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!
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
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Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
5 minutes read
Matroid's computer vision obfuscates any data deemed sensitive in video media.
2 minutes read
LwM2M may be the missing link to implement continual learning in TinyML projects.
4 minutes read
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Now wireless-enhanced personal transport solutions are riding their way into the mainstream transport picture, creating new business opportunities in the process.
4 minutes read
Over the next decade, we can expect to see exponential gains in performance and power efficiency of embedded computer systems.
5 minutes read
Unsupervised domain adaptation is the solution to overcome the challenge of limited training data effectively.
4 minutes read
ABI Research forecasts that TinyML unit volumes will explode from 15 million units in 2020 to 2.5 billion units in 2030. Find out about this machine-learning technique now.
3 minutes read
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
4 minutes read
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
Mining is one industrial sector rarely mentioned regarding IoT adoption. That's because, unlike manufacturing, construction, or commerce, the mining industry has unique challenges, making IoT adoption a much more demanding proposition.
4 minutes read
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
3 minutes read
In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.
Without data, the IoT would be useless. The electromechanical and electronic sensors used to collect information are just as important to the IoT’s digital brains as sight, smell, hearing, and touch are to human organic ones.
3 minutes read
The MAAS project team developed a unique, end-to-end solution for the assembly of airplane wing parts, which uses Photoneo 3D vision technology to handle challenges such as screw hole misalignment, panel to panel step height, and gaps out of specification.
4 minutes read
