Mastering Controllable AI - Ensuring Safe Autonomy
Explore innovative norm-based control mechanisms for autonomous systems, focusing on social laws, norms, and sanctions to ensure safe AI behavior and desirable outcomes.
Cooperative Data-driven Modeling: Addressing Catastrophic Forgetting in Neural Networks
Explore cooperative data-driven modeling techniques to address catastrophic forgetting in deep neural networks for class-incremental learning scenarios.
Plasticity: An Incredible Brain Capacity
Explore brain plasticity's incredible capacity for adaptation and learning, uncovering its role in neural networks and cognitive processes.
A Path Towards Autonomous Machine Intelligence
Explore Yann LeCun's vision for autonomous machine intelligence, delving into cutting-edge AI concepts and potential future developments in the field.
Philosophy and Neuroscience in the Study of Conscious Perception
Explore the intersection of philosophy and neuroscience in understanding conscious perception with insights from Aaron Schurger's conference talk.
Neuroscience and Philosophy in the Scientific Study of Free Will
Explore neuroscience and philosophy's intersection in free will research, examining scientific approaches and philosophical implications.
Bridging Associative Memory and Probabilistic Modeling
Explore the connection between associative memory and probabilistic modeling in this insightful presentation by Rylan Schaeffer.
An Architectural Approach to Metacognition - Metacognitive AI Series
Explore an architectural approach to metacognition in AI, focusing on integrating cognitive processes for enhanced machine reasoning and self-awareness.
Mutual Trust in Human-AI Teams Relies on Metacognition
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.
Human-Centered Explainable AI
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.
Human-Aware Metacognitive AI - Lecture on Planning with Incomplete Model Knowledge
Explore human-aware planning and metacognitive AI with insights from Sarath Sreedharan, focusing on incomplete model-knowledge and AI-human interaction.
Natural Artificial Intelligence - Keynote JuliaCon 2024
Exploring brain-inspired AI: Free Energy Principle, unsupervised learning, and real-time skill acquisition. Insights into brain computations and their application to AI engineering tools using Julia.
Can AI Read Your Mind? - Decoding Thoughts with AI and Neural Imaging
Explore cutting-edge AI technologies decoding human thoughts through neural patterns, with experts discussing FMRI, EEG signals, and future implications for mind-reading advancements.
On the Hard Problem of Pain - Understanding Higher-Level Intelligence
Explore the complex nature of pain through AI, psychology, and neuroscience perspectives, delving into higher-level intelligence and its implications.
Consciousness and Large Language Models - Understanding Higher-Level Intelligence
Explore the intersection of consciousness and AI through philosophical and scientific lenses, examining implications for higher-level intelligence and cognitive science.
Supercommunicators - The Science of Conversation and Connection
Explore the neurology and psychology behind successful communication, participate in a live experiment, and discover how the right conversation can be transformative.
Evaluation and Architectures of Intelligence in Humans, LLMs, and Generative AI for Games
Explore intelligence evaluation and architectures across humans, LLMs, and game AI with Microsoft Research's Ida Momennejad.
Ontological Semantics: An Overview
Explore a comprehensive approach to text meaning in computer processing, covering theories, methodologies, and implementations for effective natural language processing applications.
Reinforcement Learning and Architectures of Intelligence - Part 1
Explore reinforcement learning and intelligence architectures with Microsoft Research's Ida Momennejad in this comprehensive tutorial from IPAM's Mathematics of Intelligences series.
The Platonic Representation Hypothesis
Explore the Platonic Representation Hypothesis with MIT's Phillip Isola, delving into philosophical concepts and their applications in modern computational theory.
Introduction to Symbol Grounding
Explore the symbol grounding problem, its philosophical roots, and major approaches including representationalist, semi-representationalist, and non-representationalist solutions.