A multi-tier approach to machine learning at the edge
A multi-tier approach to machine learning at the edge can help streamline both development and deployment for the AIoT.
How reliable and affordable presence detection can change the space management of the future
This article looks at presence detection, the advantages of active infrared sensors vs. passive infrared sensors, and highlights a new…
Fuzz testing strengthens IoT device security
Fuzz testing can be used to effectively harden embedded networking stacks and thus strengthen IoT device security.
Fixing a quantization error for a micro encapsulation product
The signal used to control the mass flow rate of a machine in a micro encapsulation process sets the output…
Three things to watch when selecting a position sensor
Here are three design considerations that commonly apply to both linear and rotary movements in position sensors for automotive and…
SLAM without a PhD
Industry leaders have all integrated SLAM technology into their AR/VR headsets using low power, embedded processors. Why can’t robot developers…
Innovations driving the future of cryptography in hardware processors
The hardware industry has been working to produce new guidelines, microarchitectural enhancements and innovative software optimization methods.
Avoid setup- or hold-time violations during clock domain crossing
To avoid data loss, designers need to ensure that setup- or hold-time violations don't occur during clock domain crossing.
Re-programming classic ECUs with Adaptive Autosar
Adaptive Autosar offers a high degree of flexibility in the realization of more complex software architectures in the vehicle.
Acquisition memory in a digitizing instrument
Acquisition memory length is an important specification that can affect a digitizing instrument's sampling rate and bandwidth.