TinyML: What is It and Why Does It Matter
As a machine learning technique, TinyML combines reduced and optimized machine learning applications that require hardware, system, and software components. These operate at the edge of the cloud in real time while converting data with minimal energy and cost.
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FAULHABER MICROMO - Game changer in logistics
Faster, more efficient, more sustainable - due to global competition in industry combined with booming online trade, transport structures in intralogistics are facing new challenges. The industries' answer: Automation. From storage to shipping, key work steps are being taken over by intelligent logistics robots, such as automatic storage and retrieval machines and driverless transport systems. To work efficiently and reliably around the clock, these robots need flexible and particularly compact drive solutions.
