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Explore spatio-temporal perception logic for verifying perceptual systems in autonomous vehicles, building on previous parts of the series.
Explore metacognition and EDCR, a neurosymbolic method for error detection in AI models. Learn about rule learning, intuitions, and applications in few-shot learning.
Explore domain-independent diversity measures to detect uncertainty in language model outputs, enhancing error detection and improving AI reliability.
Explore spatio-temporal perception logic for verifying perceptual systems in autonomous vehicles, building on Part 1's foundations.
Explore spatio-temporal perception logic for verifying perceptual systems in autonomous vehicles and other safety-critical applications.
Explore experiments in the SLASH framework for neuro-symbolic AI. Gain insights into cutting-edge research combining symbolic methods and deep learning.
Explore probabilistic circuits in the SLASH framework. Learn their importance and applications in neuro-symbolic AI and machine learning.
Explore the A Priori algorithm for efficient itemset mining, a crucial technique in data analysis and association rule learning.
Explore CLEVRER dataset for video prediction and reasoning tasks, covering dataset creation and baseline approach for AI and machine learning advancements.
Explore CLEVRER dataset for video prediction and reasoning tasks, covering dataset details and baseline approach for advanced AI understanding.
Explore ChatGPT's performance on math word problems and learn how to predict its failures. Join the AI/ML community challenge to forecast ChatGPT's problem-solving abilities.
Explore deep symbolic regression through Petersen et al.'s 2021 ICLR paper, covering innovative techniques at the intersection of symbolic methods and deep learning.
Explore PyReason, a Python framework for deductive reasoning using time-series annotated logic. Learn about fuzzy and open-world reasoning capabilities through an in-depth technical talk.
Explore propositional logic inference, including lattice theory and fixpoint operators for entailment queries. Gain insights into logic programming and knowledge reasoning fundamentals.
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