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- Instituto Pedro Nunes
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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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-GRASP”, “Simulation-Based Bayesian Inference for Object Perception in Robot Grasping”, financed by the European Union´s Horizon Europe research & innovation programme under the euROBIN project (Grant
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datasets to be used in the project's experiments. - Benchmarking of membership inference and model memorization techniques. - Development of gradient-based approximate machine unlearning approaches
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Inference Applied Field Experimentation Scientific Areas: Management, Economics, Information Systems, Computer Science, Data Science, Statistics, or related disciplines. ADMISSION REQUIREMENTS
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
thorough analysis of how the inferred fractional dynamics relate to transitions between consciousness and unconsciousness. Duration: The research fellowship will have a duration of 9 months. It’s expected
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:………..………………………………………………………………………………………………………………………………………… Management, with particular focus on the intersection of: Machine Learning Causal Inference Applied Field Experimentation Scientific Areas: Management, Economics, Information Systems, Computer Science, Data
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process. User Profile Modeling for Empathetic InteractionsCreate computational models to infer the emotional state and cognitive profile of users from their interactions with the system; Incorporate
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multimodal pipeline (API function calling). 5) Testing • Cross-evaluation with pilot farmers and agricultural engineers from partner AGRIS. • Optimisation of models, inference time (< 500 ms) and memory
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computational models to infer and adapt to the emotional and cognitive profiles of students and teachers. Integrate affective computing and cognitive modeling capabilities into AI agents, allowing for more
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Road and Rail infrastructures project, with nº 16540 and operation code COMPETE2030-FEDER-00771300 at the Funds Counter, funded by the Innovation and Digital Transition Programme and Lisbon Regional
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: Preference will be given to candidates: With a track record of publications related to task planning for robotics. With training and experience in the use of deep learning and large language models