Beacon technology is rapidly evolving. Today's devices support use cases that extend from proactive retail engagement to indoor asset tracking and navigation in shopping malls, airports, hospitals, and more.
Beacon technology is rapidly evolving. Today's devices support use cases that extend from proactive retail engagement to indoor asset tracking and navigation in shopping malls, airports, hospitals, and more.
Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
Beacon technology is rapidly evolving. Today's devices support use cases that extend from proactive retail engagement to indoor asset tracking and navigation in shopping malls, airports, hospitals, and more.
Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
A framework that uses both audio and image modality for event classification– tested on COVID-19 prescreening and battlefield object detection, later evaluated on the Raspberry Pi 4 single-board computer.
Using satellite imagery or road schematic maps as "side information," the ViKiNG robot can plan its own miles-long route to a goal — measurably outperforming its strongest competitors, even when its side information is inaccurate or outdated.
Designed to bring machine learning to the Earth's last great frontier, a prototype smart sensor platform users on-device inference to classify marine mammal calls — powering itself exclusively from the sounds it captures.
Logistics companies can manage their supply chains and respond to issues more efficiently when they have a clear and continuous view of the location of assets carried by containers and pallets. Asset tracking enables them to have this. And it goes beyond mere logistics.
Research from MIT suggests that a certain type of robust computer-vision model perceives visual representations similarly to the way humans do using peripheral vision.