Articles
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Aug 27, 2024 |
designnews.com | Houman Zarrinkoub
The use of AI can more thoroughly model and predict the variables needed for a robust wireless system. Dr. Houman Zarrinkoub, Principal Product Manager, MathWorksAugust 27, 2024The task of designing 5G and 6G wireless systems can be expedited using AI. imaginima/ iStock / Getty Images PlusArtificial intelligence and machine learning are proving to be an invaluable tool in many engineering design tasks, enabling engineers to reduce iteration time and consider more variables.
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Apr 11, 2024 |
rfglobalnet.com | John Oncea |Houman Zarrinkoub |Michael Lee |VP Sales
"Capitol"ize On Your IMS2024 Experience! Register Now!The IEEE MTT-S IMS2024 is the must-attend event the microwave and RF community¬¨‚Ȇ. In one week, you can gain the knowledge you need to achieve your professional goals for the entire year. Technical program highlights include systems & applications, aerospace & defense, spectrum coexistence & sustainability and emerging technologies.
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Sep 26, 2023 |
rfglobalnet.com | Houman Zarrinkoub
Article | September 26, 2023 By Houman Zarrinkoub, Ph.D., Principal Wireless Product Manager, MathWorks Connecting people, no matter where they are, has always been the main goal of wireless communications. Whether it is mobile phones improving communication, vehicle communication (V2X) platforms helping cars negotiate traffic turns, or Internet of Things (IoT) devices monitoring smart factories, today’s wireless systems are striving to realize that dream.
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Jun 20, 2023 |
fierceelectronics.com | Houman Zarrinkoub
AI is coming to wireless communications with a vengeance
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Jun 20, 2023 |
fierceelectronics.com | Houman Zarrinkoub
Another in a series of previews of happenings at Sensors Cpmverge 2023Wireless technology is booming. Emerging applications such as connectivity and autonomous systems are forcing design engineers to address the management of massive amounts of machine-type sensors, increasing complexity across systems and heightening the need and expectation for quality, reliability, and flexibility of sensor networks.
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