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Explore advanced Battery Management Systems for EVs that combine physics-driven models with real-time learning to detect faults, monitor health, and enhance safety, addressing current limitations in preventing battery fires.
Explore the complex issue of LLM hallucinations with Vipula Rawte, covering characterization, measurement, detection methods, and strategies for prevention and mitigation.
Explore a neurosymbolic framework using Dynamic Multimodal Process Knowledge Graphs for explainable process recommendations, demonstrated through recipe analysis and AI pipeline recommendation use cases.
Explore how natural language enables trustworthy human-robot interaction with Dr. Hongsheng He's research on communication frameworks and trust-building mechanisms between humans and robotic systems.
Explore how Large Language Models can revolutionize neuroimaging analysis with Professor Amit Sheth's insightful conference presentation.
Explore advanced Natural Language Understanding through knowledge and ontology-enhanced approaches, focusing on innovative techniques for improved language processing and semantic analysis.
Explore the development of robust AI copilots for enterprise applications, focusing on neurosymbolic models, trustworthiness, and mission-critical implementations in deep learning systems.
Discover how Causal AI is transforming industries through practical applications, methodologies, and real-world case studies presented by leading researcher Utkarshani Jaimini.
Explore the critical intersection of ethics and artificial intelligence, examining key challenges and frameworks for developing responsible AI systems that benefit society.
Discover how to implement function calling abilities in AI models through IBM Research's Granite framework, exploring advanced techniques for enhanced model capabilities.
Explore the fundamentals of Agentic AI through expert insights on its core concepts, importance, and practical implementation strategies in modern artificial intelligence systems.
Explore the fundamentals and practical applications of Retrieval Augmented Generation (RAG) in AI systems, from core concepts to real-world implementations and best practices.
Explore the intersection of language models and planning in AI, examining key concepts, applications, and future implications for artificial intelligence development.
Explore cutting-edge AI applications in civil engineering, focusing on infrastructure monitoring, maintenance strategies, and innovative solutions for modern construction challenges.
Explore the transformative potential of artificial intelligence in modern healthcare systems, from diagnostic applications to treatment optimization and patient care advancement.
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