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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
rely on the integration of multiple heterogeneous models and data sources, such as sensor observations, simulation models, geographic information systems, and domain knowledge bases. Ontology alignment
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-resistive sensors especially suited to 2D materials whose orbital currents depend on the carrier density (tuned by controlling an electrostatic gate). With this method we have recently observed the anomalous
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The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of control and estimation
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, audio, and sensor data. These AI models move beyond conventional predictive and purely data-driven approaches by seeking to capture the underlying causal, spatial, temporal, and semantic relationships
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of the built environment and systemic social barriers as contributors to this problem. B4B integrates such perspectives and explores them through a mixture of qualitative, quantitative, and sensor based
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conceptual and practical research using drone detection systems, interceptor drones and other technologies driven by advanced sensors, data communication systems, and artificial intelligence. Are you motivated
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for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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discipline that directly impacts important technological and societal topics such as thermoelectric energy harvesting and next-generation gas sensors. The project has access to state-of-the-art supercomputing