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Hailed as the future gold mine of the digital economy, the Internet of Things encompasses billions of connected objects whose data is managed on networks. How can we meet the connectivity needs of all these connected objects? How can we develop an ecosystem of applications and services that turns innovation into tangible benefits in our daily lives? That is up for debate.

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Electronic waste: innovation to kickstart the circular economy

● Volumes of electronic waste or e-waste are continuing to grow with 62 million tonnes generated worldwide in 2022.
● New technologies like iDEAR (Intelligent Disassembly of Electronics for Remanufacturing and Recycling), which make use of artificial intelligence and robotics, hold the promise of cleaner and more precise recycling.
● Orange is committed to a rigorous strategy for managing end-of-life equipment. The aim is to maximize the second life of equipment and build a more resource-efficient and sustainable business model.
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Various electronic devices, such as phones and tablets, along with internal components, are arranged in bins.
The image shows a man sitting at a table, slightly turned to the left. He is using a smartphone held in his right hand. The phone's screen displays a colorful background with app icons. On the table, there is a small white cup and a wooden tray. The man is wearing a hearing aid visible in his right ear. The environment is bright and modern, featuring furniture with soft shapes and neutral colors.
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An optimised hearing-aid experience thanks to smartphones

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WeWaLK, .lumen: AI simplifies mobility for the blind and partially sighted

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A gloved hand uses a pipette to add red liquid into culture plates in a laboratory setting.
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Pioneering pharmaceutical and food industry innovation with organs-on-chips

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A person checks their heart rate on a smartwatch while holding a smartphone. The setting is natural, with trees in the background.
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Wireless Power Transfers: ERWPT breaks new ground with electric fields

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Crowdsourcing cacatoès
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Smartphone data to map the outer atmosphere and monitor urban wildlife

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Machine learning for intuitive robots that are aware of their environment

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