
Explore trustworthy decision-making in real-world scenarios through uncertainty reasoning, focusing on metacognitive AI approaches and their practical applications.

Explore an architectural approach to metacognition in AI, focusing on integrating cognitive processes for enhanced machine reasoning and self-awareness.

Explore mutual trust in human-AI teams through metacognition. Gain insights into the role of metacognitive abilities in fostering collaboration between humans and artificial intelligence systems.

Explore neurosymbolic architecture ENN, its bottom-up training, and deep distillation with Milo Lin. Gain insights into explainability, biological inspiration, and practical applications.

Explore a theoretically-grounded framework for assured machine learning in high-stakes domains, focusing on the intersection of symbolic methods and deep learning.

Explore symbolic reasoning using language model agents in this talk by Prof. Swarat Chaudhuri. Gain insights into cutting-edge research at the intersection of AI and symbolic methods.

Explore human-centered explainable AI with Professor Mark Reidl, focusing on key concepts, latest research, and practical applications in this emerging field of artificial intelligence.

Explore probabilistic circuits with YooJung Choi, delving into advanced AI concepts at the intersection of symbolic methods and deep learning.

Explore language agents as a critical evolutionary step in AI, focusing on LLM research and its implications for advancing artificial intelligence capabilities.

Explore scene graphs and current research in this field, gaining insights into an exciting area of AI and machine learning.

Explore pro-social language models with Dartmouth's Soroush Vosoughi, examining their potential for positive societal impact and ethical AI development.

Explore human-aware planning and metacognitive AI with insights from Sarath Sreedharan, focusing on incomplete model-knowledge and AI-human interaction.

Explore techniques for certifying trustworthiness in deep learning systems with expert insights from Linyi Li, enhancing AI reliability and safety.

Explore computational optimization with Professor Ruth Misener as she shares insights and personal experiences in her inaugural lecture at Imperial College London.

Explore personal growth, resilience, and overcoming challenges through Professor Kanjo's journey of self-discovery and professional development in engineering and computing.

Explore AI's CSS knowledge through a quiz, revealing strengths and limitations. Gain insights into machine learning's understanding of web styling concepts.

Explore open source's evolution for AI and next-gen developers. Learn about Open Source Program Offices, balancing risks and rewards, and applying open source beyond code.

Explore Quarkus for building AI-powered Java microservices. Learn to integrate AI capabilities, from machine learning to chatbots, and discover the future of Java development with AI.

Explore Responsible AI's role in ethical tech development. Navigate ethical dilemmas, societal impacts, and frameworks prioritizing human well-being. Learn about the Generative AI Commons' framework guiding stakeholders in upholding ethical AI standards.

Explore Amr Awadallah's tech journey from Yahoo to Vectara, covering data processing, cloud computing, AI, and entrepreneurship. Gain insights on open-source models, GenAI adoption, and startup success factors.

Explore AI breakthroughs in games like poker, Go, and Diplomacy. Discover the crucial role of search/planning algorithms and their potential applications in improving machine learning models.