IoT

An AI to predict where sperm whales will surface

● Researchers from the University of Harvard have developed a framework that makes use of drones and a reinforced learning algorithm to predict where sperm whales will surface so that their conversation can be recorded.
● The drones are equipped with a very high frequency (VHF) signal detection system to enhance the tracking of the whales, which have been tagged with radio beacons.
● This data in combination with information from underwater microphones has enabled the team to predict where sperm whales will surface so that they can observe their social behaviour.
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Rob Wood (Harvard / CETI), deploying a drone in Dominica 
Researchers have developed a kirigami-inspired mechanical computer with no electronic components.

IoT and soft robotics: is mechanical computing making a comeback?

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Standard prpl operating system strengthens Livebox ecosystem

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An industrial maintenance solution combining AI, a 5G private network and IoT

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Soft Robotics Lab - ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

“Biohybrid robotics needs an ethical compass”

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Datascore: a simple digital trust rating for connected environments

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