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machine-based facial recognition, and where do human and machine decisions diverge? Do SR methods perform equitably across demographic groups? Can SR models be improved using human perceptual insights
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the Neuroscience of Attention & Perception Laboratory (NA&P Lab), led by Dr. Sabine Kastner at the Princeton Neuroscience Institute. The lab studies neural mechanisms of cognition in the primate brain. Intracranial
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
be designed by the modeller. Self-supervised learning is fundamental for developmental processes such as babbling. Schwartz et al. [11] propose that perception and action are co-structured in
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of campus supported hardware, such as Dell PC’s (plus other models). Must be up to date on new technologies and be able to present creative ideas to faculty. Knowledge of computers and audiovisual equipment
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Description Join the NWO Perspectief FIND program and develop methods to adapt Transformer-based foundation models for defect detection where data is scarce and unlabeled. Explore few-shot learning, self
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
a Research Infrastructure? No Offer Description Applications are open for 1 Research Studentship(s), within the framework of project Exploring Robotlike RObot behavioRs in users’ Mental Models (ERROR
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safety properties of perception systems that encompass learning-based models. Develop methods and tools for automatic/procedural generation of relevant operational conditions Inform and educate
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robust perception systems that can efficiently adapt in a self-supervised manner to novel environments remains a significant challenge. We identify three core issues: (i) black-box models that ignore
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross