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Showing 1 to 5 of 5 for “"Neuro-Symbolic AI"”.

  1. NEURO-SYMBOLIC AI APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION

    … inherent opacity and the scarcity of labeled training data. Fortunately, common sense and domain knowledge about activity execution can improve purely data-driven approaches. Indeed, in the general machine learning community, Neuro-Symbolic AI (NeSy) methods are emerging to combine DL models …

    milano Repository record for NEURO-SYMBOLIC AI APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION (opens in a new tab)

  2. Combining Diverse Forms of Human and Machine Intelligence

    … combinations of three forms of intelligence: symbolic artificial intelligence, neural artificial intelligence, and human intelligence. First, diverse forms of Neuro-Symbolic AI through three pipelines consisting respectively of neural perception with symbolic reasoning, symbolic inputs with …

    mit Repository record for Combining Diverse Forms of Human and Machine Intelligence (opens in a new tab)

  3. Neuro-symbolic fact verification

    … the process of assessing the veracity of claims, is a time-consuming task that can potentially take hours or days for a single claim, incentivising the development of computational methods to automate (parts of) the fact-checking process. This challenge has been instantiated in the field of …

    cambridge Repository record for Neuro-symbolic fact verification (opens in a new tab)

  4. Quantum Machine Learning Applications and Algorithms

    L'abstract è presente nell'allegato / the abstract is in the attachment

    poli-torino Repository record for Quantum Machine Learning Applications and Algorithms (opens in a new tab)