2021-06-23 - Richard Quinnell

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.

2021-06-22 - Christoph Kämmerer

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…

2021-06-22 - DeWitt C. Seward

Fuzz testing strengthens IoT device security

Fuzz testing can be used to effectively harden embedded networking stacks and thus strengthen IoT device security.

2021-06-22 - Robert Heider

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…

2021-06-21 - Majeed Ahmad

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…

2021-06-21 - Owen Nicholson

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…

2021-06-18 - Wajdi Feghali, Intel

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.

2021-06-18 - Deekshith Krishnegowda, Marvell Semiconductor

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.

2021-06-17 - Bernhard Wagner, KPIT Technologies

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.

2021-06-17 - Arthur Pini

Acquisition memory in a digitizing instrument

Acquisition memory length is an important specification that can affect a digitizing instrument's sampling rate and bandwidth.