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This paper proposes a reasoning-guided learning framework for generating personalized, constraint-compliant travel packing checklists, combining symbolic rules, preference learning, and constrained optimization, achieving high recall and constraint satisfaction with real-world deployment in a production iOS app.
Git-Assistant is an AI-powered tool that combines large language models with automated planning to help developers execute complex git operations more safely and reliably.
This proposal introduces the Dynamic Concept Graph (DCG), a hybrid cognitive architecture that combines neural representation learning, symbolic knowledge structures, multimodal perception, and analogical reasoning to provide persistent, evolving world models for AI, addressing limitations such as inconsistent reasoning and lack of causal understanding in large language models.
Lenovo's CTO Tolga Kurtoglu details the company's transformation into an AI-first company with a hybrid AI approach that orchestrates distributed data, devices, models, and compute for personal and enterprise AI experiences.
This paper presents a neuro-symbolic verification architecture for LLM outputs in high-stakes domains, combining formal symbolic methods with neural semantic analysis. Evaluated on a medical device damage assessment system, it achieves over 83% hallucination detection for structured entities and 30% reduction in report creation time.
The author argues that local AI is underestimated due to usability barriers, and introduces their project Euler to make local AI as seamless as cloud AI with privacy and ownership advantages.
Proposes PDRNN, a modular hybrid AI-assisted pedestrian dead reckoning system that combines a recurrent neural network with separate ML models for orientation, velocity, and distance estimation, with optional radio-based stabilization. Experiments on dynamic sports movement data show superior accuracy and precision compared to classic and ML-based methods.
BEHAVE is a hybrid AI framework for real-time modeling of collective human dynamics, as presented in a preprint on arXiv.