Embedded Computing Design

As UI/UX and Infotainment maintains its dominance over Automotive technology development news, the audio component of passenger and driver experience is too often overlooked. One company is trying to change that.

The semiconductor industry is starting to look like it’s due for big changes.

Hello Embedded Professionals, Engineers, and Developers! Welcome to In Case You Missed it, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

The challenges of bringing AI into the industrial sector can be immense, especially in legacy facilities laden with outdated infrastructure and technology. When looking to layer factory automation and other industrial embedded and IoT solutions into a legacy manufacturing space, an enterprise is often wisest to work with a partner that’s equipped with exactly the experience, tools, and strategies that they need.

Hello Embedded Professionals, Engineers, and Developers! Welcome to In Case You Missed it, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

Supply Chain logistics make up critical infrastructure in our global economy, and the ports and shipping terminals are the biggest and most complex part of that system. 

CES 2026 ended just last week, and the energy is still thrumming through me as I reflect back. A few trends really jumped out at me as I think back, and before I get into specifics, let me give you that 1000-foot-high viewpoint, as I saw it.

Hello Embedded Professionals, Engineers, and Developers! Welcome to In Case You Missed it, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design. It’s Friday January 15, 2026, I’m Ken Briodagh, Editor in Chief of Embedded Computing Design and these are our top stories this week.

As vehicles become increasingly software-defined and AI-driven, intelligence can no longer depend solely on the cloud. Connectivity enables scale, but it is not guaranteed. For safety-critical systems and real-time decision-making, resilience requires intelligence that lives inside the vehicle.

It’s Friday January 9, 2026, I’m Ken Briodagh, Editor in Chief of Embedded Computing Design, and it's time for a brand new episode of ICYMI, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design!

Video and computer vision are the most impactful applications for AI currently in the embedded industry. Manufacturing, Warehousing and Robotics are using computer vision and video in almost every modern use case, while Smart City Safety and Security is almost entirely focused on video data analysis. And these vertical markets need the AI in the embedded computing at the edge to power their applications and use cases.

One of the toughest challenges with solving predictive maintenance, enabled by AI, is that there is usually no data available for training the system. Modern equipment may not break down for 5 years or more so there is insufficient data when the product is first launched on when and how it will break down. But AI systems using traditional methods such as Deep Learning can only operate when sufficiently large volumes of data are available for training the system and hence, they are incapable of addressing this problem.

One of the most impactful areas for businesses to deploy AI is in digital signage. AI-driven digital can deliver personalized content, respond instantly to changing conditions, and make every interaction more meaningful. A challenge that comes with deploying this kind of AI-powered digital signage is ensuring the content is flexible enough to adapt to different display sizes or settings, or to simplify the content so it can fit any display.

AI is moving from the cloud to the edge. In product after product, we see ever more intelligence being brought to the edge, and to the devices that reside there.

Hello Embedded Engineers, Developers and Makers! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

Autonomous vehicle capability has been advancing in the open for more than a decade, and now it sits at the center of the shift toward AI-defined vehicles.

In warehousing, manufacturing, robotics retail and other supply chain delivery arenas, one of the factors slowing down crucial delivery times is an apparent shortage of agents to move products, but Pattern AI says this isn’t the case. Instead, it’s idle clustering of agents that leads to what seems like a shortage.

Hello Embedded Engineers, Developers and Makers! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

What do the manufacturing, robotics, transportation, video, city safety, and security industries all have in common? They are searching for more efficiencies in the process of real-time object detection and dynamic tracking. The answer to that search could be discriminative AI for many companies.

The restaurant and hospitality industry has always been dynamic, but today’s environment is especially unforgiving. Rising commercial real estate costs, which often increase by 8–15% year over year in major cities, combined with escalating labor expenses and talent shortages, make profitability more challenging than ever. Despite extended operating hours, most restaurants still rely on a narrow peak window, typically accounting for less than 25 percent of the day, which contributes 60 to 70 percent of their revenue. During those hours, maintaining fast and consistent service becomes mission critical.