Stop talking about TOPS, start talking about TOPS per Watt
As edge hardware becomes more power-efficient and AI models get smaller and smarter, intelligence is moving closer to where data is created. The result isn’t just faster insights, it’s a fundamental shift in how IoT systems are designed, deployed, and operated.
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From “perfecting models" to "perfecting data pipelines” – Edge AI lessons from IoT Stars
The consensus was clear: the technology is ready, but the engineering mindset needs to shift from "perfecting models" to "perfecting data pipelines." Find below the essential lessons for engineers looking to survive the transition from Machine Learning R&D to revenue.
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We don’t need more devkits, we need to make the economics of hardware development work
Semi Off-The-Shelf Hardware: The Missing Link in IoT
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Modernizing the Embedded Stack: Lessons from IoT Stars at Embedded World North America 2025
The landscape of IoT development is evolving rapidly, and staying ahead requires more than just technical know-how, it demands a strategic shift in how we approach building connected devices.
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Powering IoT Devices with Ambient Energy
Batteries have long been the Achilles heel of IoT solutions. When a battery dies, it often drags the entire solution down with it. Ambient IoT might be the solution.
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Let's do ML, but not make it suck
From Micro:bit to Edge Impulse to Qualcomm. Here's the impressive story of the karate kid Zach Shelby, and how Edge Impulse (a Qualcomm company) came to be.
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