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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
A Head Start on the Analog Age for Digital Designers
The NVIDIA/Arm transaction may have fallen through, but that isn’t the only momentous merger and acquisition that’s been on the table in the embedded technology space. Xilinx is now officially part of AMD, and Wind River has been purchased by Aptiv from venture capital firm TPG. Will these deals turn out better than some of their predecessors? Only time will tell, but the Insiders’ have some predictions.
After, Mike Henry, founder and CEO of Mythic AI, joins Brandon and Rich to discuss the new dawn of analog computing. From searching for any government funding they could to destroying the competition in executing the original AlexNet imaging convolutional neural network (CNN), Mike explains how his company got to the forefront of a technology that offers a much-needed path forward for computing – and how they’re integrating digital technologies that today’s engineers understand.
To learn more about Mythic’s approach to analog computing, visit mythic-ai.com.
Finally, Brandon continues his investigation of what it takes to build scalable smart sensors. After analyzing requirements for translating data models into smart sensor firmware, he goes into tools and techniques available through the PICMG IoT.1 specification that help automate the process. By the end, you should have all the knowledge – and most of the resources – to build a no-code smart sensor of your own.
For more information, visit the PICMG GitHub at https://github.com/picmg, where you can find repositories for the iot_builder, iot_configurator, iot_firmware, and more.
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