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.
Dialogues Between Neuroscience and Society - AI and Machine Learning's Impact on Human Experience
Pioneering AI expert discusses transformative potential of machine learning, emphasizing ethical stewardship to augment human experience and serve diverse global populations.
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.
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.
The Physics of Associative Memory - Exploring Hopfield Networks
Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.
How AI Is Unlocking the Secrets of Nature and the Universe
Demis Hassabis explores AI's potential to accelerate scientific discovery, from predicting protein shapes to unraveling mysteries of the mind and universe, showcasing its transformative impact on human knowledge.
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.
Relational Predictive Reasoning in Brains and Machines
Exploring predictive models in deep learning, comparing AI and brain representations, and discussing Graph Neural Networks for simulating complex dynamical systems.
Physical Problem-Solving in Minds and Machines
Explore cognitive and machine models for flexible physical problem-solving, focusing on object factorization, relations, and physics to enhance efficiency and generalization in AI and natural intelligence.
A Multimodal Automated Interpretability Agent - Understanding Lower-Level Intelligence
Explore a multimodal AI agent for automated interpretability, bridging AI, psychology, and neuroscience to understand lower-level intelligence.
AI with a Human Perspective - What We See and What We Value
Explore AI's evolution in visual intelligence, from neuroscience-inspired algorithms to addressing ethical concerns and developing human-centered applications in healthcare and robotics.
Using EEG and Machine Learning to Perform Lie Detection - YOW! 2017
Explore EEG-based lie detection using Azure Machine Learning. Learn about data collection, model building, and limitations in this innovative experiment combining neuroscience and AI.
Mind Your Mind - Wisdom in the AI Era
Explore human intelligence, neuroplasticity, and AI's impact on cognition. Learn to navigate the evolving human-AI relationship with wisdom and mindfulness in this thought-provoking talk.
Audio-Visual Self-Supervised Learning: Insights from Infant Development
Explore how neural networks learn audio-visual representations from video streams, mimicking infant learning through synchronization of sight and sound.
Self-Driving Cars and the Human Brain - The Missing Link to Intelligence
Explore the connection between self-driving cars and human cognition, uncovering insights into AI decision-making and the future of autonomous vehicles with Minus Zero's CEO.
How Connections Build Intelligence - Human and Artificial
Explore the fundamental role of connections in building intelligence, both in human brains and artificial systems, with insights from AI entrepreneur Nigel Toon on information processing and knowledge creation.
Defining Network Topologies That Can Achieve Molecular Memory
Explore network topologies for molecular memory in complex systems. Uncover innovative approaches to information storage at the molecular level.
Self-Sustained Activity and Intermittent Synchronization in Balanced Networks
Explore self-sustained activity and intermittent synchronization in balanced networks with Fernando da Silva's insightful presentation.
Event-Driven Services as Neural Synaptic Networks
Explore synaptic services: a revolutionary approach modeling components as neurons and connections as synapses for robust, efficient event-driven architectures.
Malevolent Architect: Only Bad Decisions in Software Development - GeeCON 2022
Explore architectural pitfalls and solutions in software development, covering debugging, logging, burnout, and more. Learn to make informed decisions and navigate challenges effectively.