Home / Author Archives: Tom Kevan

Author Archives: Tom Kevan

Tom Kevan is a freelance writer/editor specializing in engineering and communications technology. Contact him via de-editors@digitaleng.news.

Sensors Empower Voice Interfaces

Smart microphones have made it possible to incorporate voice interfaces in mobile and wearable devices, dramatically changing the way users interact with computing systems. Image courtesy of Vesper Technologies.

The convergence of smart microphones, new digital signal processing technology, voice recognition and natural language processing has opened the door for voice interfaces.

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A Power Source for Next-Generation Sensors

The rise of energy harvesting is driven by advances that make the technology more practical and desirable for mobile and IoT applications.

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The Technologies Driving the Autonomous Car

In this image, radar and lidar work together to determine safe driving distances between vehicles. The autonomous driving system leverages radar’s ability to “see” long distances and function in bad weather. Lidar, on the other hand, provides a more comprehensive picture of the vehicle’s surroundings. Use of these two sensors provides redundancy and precludes catastrophic failure. Image courtesy of Infineon Technologies.

Possibly the greatest challenge for autonomous vehicles is that driverless vehicles must have sensing and control systems that exceed the capabilities of human drivers.

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Building Blocks of IoT Design

The rise of the IoT brings with it a cornucopia of applications and disparate design requirements. This has triggered the development of greater chip-configuration diversity. As the IoT takes shape, a new hardware era will emerge, where design engineers will harness the power of all options to meet expanding demands for new functionality. Image courtesy of Optimal Design.

The rise of the internet of things, especially in design, could shift the designer’s focus from system-on-a-chip to system-in-package.

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Making Flexible Hybrid Electronics a Reality

Mass-producing complex printed sensing systems that include processing and communications modules requires designs that incorporate printed and advanced CMOS-based components. Until recently, no one has developed manufacturing processes that can produce such systems.

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There’s More to Miniaturization than Size

The reason printed electronics have not delivered the expected cost reductions is that the complexity of the manufacturing processes has eliminated much of the cost savings.

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Supervised Machine Learning

Clarifai’s machine learning-based image-recognition tool can learn to recognize particular groups of objects, such as Adidas sneakers. Image courtesy of Clarifai.

Many of the old rules that guided software development do not apply to the testing of machine-learning algorithms.

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