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Sensor Integration and Battery Life Lead AI-IoT-Embedded Confluence

Embedded Computing Design

The leading source of in-depth tech knowledge, news, views, & instructional design content for the electronics engineer.

发布日期: 2024年4月25日

One of the key messages to come out of embedded world Exhibition&Conference in Nuremburg, Germany this year was that Embedded computing is becoming increasingly more entwined with IoT systems and AI applications and that customers are looking for these all-in-one solutions at every opportunity. And it's no surprise that the first fertile furrows to plant are the sensor integration and energy efficiency rows.?

In recognition of that, and often leading the charge, big companies are announcing new holistic solutions that add AI and IoT capabilities to embedded products or drive embedded technologies to support critical IoT and AI functions and needs.

Let’s take a look at a few recent examples from POLYN Technology , 意法半导体 , Silicon Labs

Read the full article.

New Podcast: DevTalk with Rich and Vin (and Digi CEO)

Welcome to a slightly different version of our DevTalk with Richard Nass and Vin D'Agostino podcast. In addition to doing our traditional tech talks, which you’ve clearly told us that you enjoy, we will be producing discussions with CEOs. But we won’t be going through the usual company blah, blah, blah. We’re going to dig a little deeper and find out what really drives these individuals, who are obviously very determined, or they wouldn’t be in the positions they are in. And we told them that to be a guest, they couldn’t limit or filter our questions in any way; anything and everything is on the table.?

To get us started, we spent some time with Ron Konezny , the CEO of Digi International . Tune in.

Georgia Tech Partners with NVIDIA for AI Makerspace Hub

Cheryl Martin , director of Higher Education and Research at 英伟达 says, “Georgia Tech’s AI Makerspace will provide students with access to NVIDIA’s accelerated computing platform, equipping them with the technology to push the boundaries of AI learning and research.” Read more.