Highlights

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Learn how AI and ML will help detect, classify, and identify RF signals in an increasingly crowded EM spectrum.
TDK SensEI
Myths and misconceptions about machine learning at the edge
Nov. 14, 2024
TDK SensEI’s Michael Johnston addresses the myths of applying machine-learning technologies to smart edge devices.
Texas Instruments
TI's AWR2544LOPEVM evaluation module
Nov. 5, 2024
As automotive electronics move to satellite architectures, a radar sensor and associated development kit help engineers build smarter ADAS systems.
Getty Images
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Oct. 10, 2024
Imagimob enhanced its automotive machine-learning portfolio by integrating ML capabilities into Infineon's ASIL D-compliant MCUs.
Endeavor Business Media
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Oct. 2, 2024
AI/ML-based signal detection and classification is emerging as a critical tool in gaining quick awareness of RF spectrum activity in real-time.
MathWorks
June 14, 2024
MathWorks' MATLAB gets a 6G library to help simulate advanced communications.
78236177 © Michael Borgers | Dreamstime.com
March 25, 2024
Learn how the latest IoT and IIoT devices ensure secure connectivity against cyber threats, whether wired or wireless. Explore cybersecurity measures in this comprehensive guide...
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As software risk impacts organizations’ bottom lines, the prevalence of developers using open-source software in their projects poses software supply-chain challenges. This article...
General Atomics Aeronautical Systems
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An MQ-20 Avenger UAS was operated under autonomous control by software capable of coordinating unmanned fleet activities.
NXP
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Next-generation vehicles will be defined by software, not hardware, with cloud software concepts like containers delivering an agile approach to swapping out and updating software...
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Voting is now open to select the year's best new product innovations.