Highlights

TDK SensEI
Myths and misconceptions about machine learning at the edge
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
Industrial Io T Getty Images
Oct. 10, 2024
Imagimob enhanced its automotive machine-learning portfolio by integrating ML capabilities into Infineon's ASIL D-compliant MCUs.
Endeavor Business Media
ims_tektronix_thumbnail
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...
March 19, 2024
Learn how NXP leverages MicroEJ’s software containers with standard APIs to bring software portability to a broad range of NXP’s RTOS-based MCUs and Linux-based processors.
General Atomics Aeronautical Systems
Deaug22 1 Promo
An MQ-20 Avenger UAS was operated under autonomous control by software capable of coordinating unmanned fleet activities.
NXP
Nxpa101 Promotional Image
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...
Promo
Voting is now open to select the year's best new product innovations.
Ansys
Promo A Radiating 5 G Mimo Array Using Ansys Hfss
How does power consumption create a set of complex, interrelated conundrums for 5G system design engineers?