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Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
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Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
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To bring AI into the real world, we often need a "bridge" to close the gap between those giant machines and the cameras and robot arms on the production line. At Matroid, we call these "AI Edge Compute Units".
Join industry leaders to discover the latest in Edge, IoT, LoRaWAN, Cellular IoT, AI at the edge, and energy harvesting.
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Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
3 minutes read
To bring AI into the real world, we often need a "bridge" to close the gap between those giant machines and the cameras and robot arms on the production line. At Matroid, we call these "AI Edge Compute Units".
event | SEP 23 - SEP 24, 2025
Join industry leaders to discover the latest in Edge, IoT, LoRaWAN, Cellular IoT, AI at the edge, and energy harvesting.
Outdoor robots operate in unpredictable terrain, shifting weather, and continuous workloads. Reliable navigation requires precise visual processing enabled by seamlessly integrated compute and vision systems.
Drs. Linda Katehi and Jian Tao are developing digital twin technology to create customizable, AI-powered sensor systems that can be built faster, more affordably and with better performance.
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EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
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Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
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