2026 IoT Edge Computing Innovation Award Winner: Morse Micro
Providing the Connectivity Foundation for Edge AI Wherever Data Is Created.
Morse Micro has been named the winner of the 2026 IoT Edge Computing Innovation Award for the MM8108 Wi-Fi HaLow System-on-Chip, a long-range, low-power connectivity platform designed to extend Edge AI and distributed intelligence across large and infrastructure-limited environments.
Why Morse Micro Won
Morse Micro stood out for addressing one of the defining challenges of edge AI: intelligent devices cannot process, prioritize, and act on real-world data at scale unless they remain securely connected wherever that data is generated.
Connectivity Built for Edge AI
The MM8108 uses sub-GHz Wi-Fi HaLow to extend secure connectivity across large properties, industrial environments, remote infrastructure, and difficult indoor spaces.
Built for Distributed Intelligence
Support for high device density, native IP networking, and data rates up to 43.33 Mbps creates a scalable foundation for richer edge applications.
Practical Deployment Readiness
Integrated radio components, low-power operation, WPA3 security, and a growing ecosystem of modules and connected products strengthen its real-world viability.
About the Winning Technology
The Morse Micro MM8108 is a highly integrated Wi-Fi HaLow System-on-Chip built around the IEEE 802.11ah wireless standard. Operating in the sub-GHz spectrum, it combines the range and penetration needed for distributed IoT deployments with the familiar networking, security, and throughput advantages of Wi-Fi.
This combination addresses a long-standing tradeoff in connected infrastructure. Conventional Wi-Fi provides strong throughput and native IP connectivity but can struggle with distance, walls, outdoor coverage, and large physical environments. Lower-power wide-area technologies can extend reach but may not provide the data capacity required for cameras, localized intelligence, richer sensor streams, and responsive edge systems.
The MM8108 bridges that gap by supporting data rates up to 43.33 Mbps, output power up to 26 dBm, low-power sleep behavior, WPA3 security, and flexible USB, SDIO, and SPI host interfaces. Its compact design also integrates power amplification, low-noise amplification, power management, and extensive MAC-layer offload to reduce system complexity and power consumption.
For edge AI and distributed intelligence, the result is more freedom in where devices can be placed and how they can operate. Cameras, meters, industrial sensors, access-control systems, HVAC equipment, energy assets, and other connected devices can remain linked across broader environments without depending on dense access-point placement or costly wired infrastructure.
This expands edge computing beyond the boundaries of traditional networks. Organizations can process and prioritize information closer to the source, reduce unnecessary cloud traffic, respond more quickly to local conditions, and maintain visibility across assets that would otherwise be difficult or expensive to connect.
Edge AI depends on more than processing power alone. Intelligent devices must remain connected across the real-world environments where data is created. Morse Micro’s MM8108 stood out for combining range, power efficiency, security, bandwidth, and deployment scale in a standards-based platform that expands where distributed intelligence can operate.
Winner Resources
Learn more about the MM8108, Morse Micro’s Wi-Fi HaLow technology, and its recognition in the 2026 IoThinkTank Awards.
IoThinkTank Recognitions
Continued IoThinkTank Recognition
This marks Morse Micro’s third IoThinkTank award recognition and its first win in the IoT Edge Computing Innovation Award program.
The company was previously recognized for its category-defining work in infrastructure and connectivity in the 2025 IoT Emerging Technology Award program. Morse Micro earned the Emerging Technology Award again in 2026 for its broader Wi-Fi HaLow IoT 2.0 Connectivity Platform.
The MM8108’s latest recognition highlights Morse Micro’s role in Edge AI: providing the secure, scalable connectivity foundation needed to deploy distributed intelligence across real-world environments.
Runner-Up
Efficient Computer, Electron E1
Efficient Computer earned runner-up recognition for the Electron E1 general-purpose processor, an innovative edge-computing architecture designed to reduce the energy consumed by conventional instruction processing.
Built on Efficient Computer’s Fabric architecture, the Electron E1 demonstrated impressive whole-application performance and energy-efficiency results while maintaining general-purpose programmability. Its ability to support on-device processing and AI inference in highly power-constrained environments made it an exceptionally strong entrant and a close competitor in this year’s program.
About the IoT Edge Computing Innovation Award
The IoT Edge Computing Innovation Award recognizes technologies that advance how connected systems process, analyze, prioritize, and act on data closer to where it is created. Eligible innovations may include edge processors, platforms, connectivity infrastructure, orchestration technologies, gateways, embedded intelligence, and other solutions that improve responsiveness, reliability, efficiency, security, or deployment scale.
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