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Our engineers and programmers invent the future of vision technologies with the most advanced neuromorphic vision system in the world.Inspired by the human vision and built on the foundations of neuromorphic engineering, PROPHESEE is the revolutionary system that gives metavision to machines, revealing what was invisible to them. Our vision sensors, inspired by the functioning of the human retina, address the limitations of conventional vision sensors by enabling real-time detection of the scene’s dynamic content and by acquiring only what is necessary. This is the event-based approach to vision.Our TechnologyProphesee designs and produces a new type of cameras that are bioinspired and thus free themselves from the concept of images. They don’t gather information with a fixed frame-rate but instead each pixel is captured asynchronously when needed. This is called event-based image processing. Therefore the output is extremely sparse and allows a real time treatment of the information at an equivalent frequency of a kHz or more. But since the data coming from the sensor are quite different from the images used in standard vision, Prophesee is also advancing the algorithmic and machine learning side of this new kind of machine vision. It enables its clients to build new applications mainly in automotive, virtual reality and industrial automation.Nota Bene: All subjects here are indicative and will be discussed with candidates before acceptation, which may result in changes.Our job offer : Neural Network Optimization for DeploymentProphesee develops event-based cameras and algorithms to process the events generated by the camera. In particular, Prophesee uses neural networks to perform tasks such as object detection or image processing.The goal of the internship is to optimize the developed neural networks for mobile applications (android). The runtime on a specific dedicated accelerator needs to be reduced while maintaining similar results in terms of accuracy.Missions:Benchmark and profile current model implementation Study the ML accelerator architecture and capabilitiesInvestigate SoTA optimization techniques such as pruning, quantization ...Implement selected optimization techniques on company’s modelsStudy Neural Architecture Search (NAS) opportunitieLevel: Master 2 or morePrerequisites: Python; Benchmarking/Profiling; ML and CNNs for visionsStrongly appreciated: ML deployment; ML optimization; Embedded knowledgeDuration of the internship : we adapt ourselves to your schedule
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