Coding as a Developmental Playground
Explore computational thinking and robotics in early childhood education, focusing on coding as a new literacy and developmental tool for young children's creativity and self-expression.
Reinforcement Learning, Fast and Slow
Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.
AI-Generating Algorithms - A Unique Opportunity
Explore AI-generating algorithms as a path to general AI, focusing on meta-learning architectures, learning algorithms, and effective environments. Discover unique opportunities for evolutionary RL research.
Why AI is Harder Than We Think
Explore AI's challenges and misconceptions with Melanie Mitchell, delving into fallacies, overconfident predictions, and the complexities of intelligence. Gain insights on creating more robust, general, and adaptable AI systems.
Desires and Diversions - Allen Newell's Retrospective on Scientific Pursuits
Explore Allen Newell's scientific journey, insights on problem-solving, and reflections on his groundbreaking work in artificial intelligence and cognitive psychology.
Berkeley in the 80s - Manuel Blum's Contributions to Computing Theory
Explore Manuel Blum's groundbreaking research, advising philosophy, and insights on complexity theory, number theory, and consciousness in this engaging interview with the Turing Laureate.
Ethics and Leadership in AI: Addressing Bias and Shaping the Future - 2020 NCSSM Conference Keynote
Explore AI ethics, bias, and societal impact with tech leader Phaedra Boinodiris. Gain insights on data privacy, future skills, and the role of education in shaping ethical AI development and implementation.
Multi-Agent Common Sense - IPAM at UCLA
Explore multi-agent common sense through mathematical frameworks combining Bayesian learning and game theory. Discover insights into human collaboration, joint intentions, and cultural knowledge acquisition.
How Brain Computations Can Inspire New Paths in AI - Part 2
Explore brain-inspired AI advancements, focusing on object recognition, contextual reasoning, and model performance. Gain insights into cutting-edge computational approaches and their applications.
Why It Pays to Study Psychology - Lessons from Computer Vision
Explore how psychology insights enhance computer vision, from texture analysis to scene recognition and 3D reasoning. Learn about occlusion, visual memory, and self-supervised learning.
Alan Turing and the Other Theory of Computing and Can a Machine Be Conscious?
Explore neuroscience advances in understanding consciousness, including the Global Workspace Model and its computational implications, with insights on free will and determinism.
Can Machines Think Like Humans? - Dr Mateja Jamnik
Explore the fascinating question of machine cognition and its comparison to human thought processes in this engaging seminar by Dr Mateja Jamnik from the Alan Turing Institute.
AI and the Quest for Olympic Gold
Explore how AI and cutting-edge technologies are revolutionizing Olympic sports, enhancing athlete performance, and shaping the future of competitive athletics.
What Can Theoretical Computer Science Contribute to the Discussion of Consciousness
Explore the intersection of theoretical computer science and consciousness, examining potential insights and contributions to this complex philosophical debate.
AI and Algorithmic Decision Making: Human Intuition vs Machine Capabilities
Explore AI's role in decision-making with Ray Dalio and Garry Kasparov, discussing its potential and limitations compared to human intuition in various domains.
Fast Growth: Disrupting Artificial Intelligence
Explore AI disruption with leaders from Unbabel, HyperScience, Bonsai AI, and ProFinda as they discuss growth, corporate impact, and the future of human-AI interaction.
Predictions About Artificial Super Intelligence - Theoretical Limits and Capabilities
Explore theoretical limits and cutting-edge capabilities in AI, quantum computing, and more. Delve into concepts like the Landauer Limit, universal computation, and optimal intelligence to understand the future of machine cognition.
The Right Token for Next-Token Visual Prediction
Explore next-token visual prediction techniques, examining AI approaches to understanding and generating visual content through lower-level intelligence perspectives.
Helping Children Construct Creative Self-Efficacy with Generative AI
Explore how children interact with generative AI tools for creative projects, examining perceptions, processes, and potential impacts on creative self-efficacy in young users.
Understanding Lower-Level Intelligence from AI, Psychology, and Neuroscience Perspectives
Explore lower-level intelligence through AI, psychology, and neuroscience perspectives with insights from three experts in a concise, multi-disciplinary discussion.
Principles of Learning in Distributed Neural Networks
Explore how depth shapes learning dynamics in the brain, analyzing deep network models and their implications for neural representations and behavior in rodent studies.