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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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-)distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close the loop between information theory and AI models for cooperative perception; publishing research findings
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methods – ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques, structural equation modelling
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— the persistent perception of sound when no external source is present. Tinnitus can cause distress, anxiety, and loss of concentration, and current therapies are often costly, complex, or inaccessible
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liaison with other departments/agencies, both internal and external. Models positive collaboration/interaction with colleagues, management team, and other UAMS departments. Periodic travel and evening work
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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are no more present on the paddock. Therefore, a better continuous monitoring of the perception of the animal behaviour on field is an open door to develop tools to spot animal or grassland health problems
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months 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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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