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Discover our articles that showcase ideas, opinions and perspectives—of different players, experts and stakeholders from every ecosystem—on the greatest advances in research and innovation.

Voice without vocal cords: a machine learning assisted device that enables patients to speak

• A soft robotics device developed at the University of California (UCLA), which uses magnetoelastic actuators to produce sound, will enable patients without vocal cords to recover the power of speech.
• The light and flexible device, which is worn on the throat, converts laryngeal muscle movement into electrical signals with a sensor design inspired by the art of kirigami (a Japanese modelling technique that uses a single incised sheet of paper), which enables patients to communicate when, for example, they are recovering from treatment for voice disorders.
• Assisted by a machine learning algorithm, the device, which provides an adaptive and customizable solution for individual users, can extract more than 94% of the semantic content from signals derived from movement on patients’ throats.
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Sylva: A Common Software Framework for Network Interoperability via the Cloud

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Recommendation L.1480 Quantifies All Usage-Related CO2 Impacts, Including the Rebound Effect

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Neurotechnology: auditory neural networks mimic the human brain

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IoT: new energy-efficient chips could expand the scope of artificial intelligence in edge computing

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Cover of the white paper about future network technology - couverture du livre blanc réseaux du futur

White Paper: Sustainability-focused Mobile Technologies for 2030 and Beyond

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PLEAIS

P-C. Langlais (PLEAIS): “Our language models are trained on open corpora”

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