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cs.CY2026
Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy
Nelly Dux, Cristina Alaimo, Philippe Roussiere +1
Agentic AI systems - systems that can pursue goals through multi-step planning and tool-mediated action with limited direct supervision - are moving from experimental prototypes to…
cs.NE2026
Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
Aref Ghoreishee, Abhishek Mishra, Lifeng Zhou +3
This paper develops an end-to-end fuzzy encoder-decoder architecture for enhancing vision-based multi-modal deep spiking Q-networks in autonomous driving. The method addresses two…
cs.CL2026
Efficient Aspect Term Extraction using Spiking Neural Network
Abhishek Kumar Mishra, Arya Somasundaram, Anup Das +1
Aspect Term Extraction (ATE) identifies aspect terms in review sentences, a key subtask of sentiment analysis. While most existing approaches use energy-intensive deep neural netwo…