IoT

AI fed on data from gas sensors and smart cameras prevents workplace accidents

• AI analysis of data from sensors measuring methane, temperature and other critical indicators can warn of impending explosions in mines 30 minutes before they happen.
• Companies like Fastpoint are using video cameras with integrated AI to analyse safety risks in industry and alert workers to potential dangers in real time.
• New tools are enabling managers to anticipate risks, improve safety and reduce the number of workplace accidents.
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A group of mining workers is listening to a colleague who is explaining something. They are wearing yellow safety helmets and masks. The environment is dark, with rocky walls visible in the background. The guide is using a headlamp to light his way.
Rob Wood (Harvard / CETI), deploying a drone in Dominica 

An AI to predict where sperm whales will surface

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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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