neural networks
76 episodes mention this concept
EconomicsExplainedNov 10, 2025The 2025 Nobel Prize in Economics: Innovation, Creative Destruction, and the AI Revolution
EconomicsInnovation-driven economic growthTechnological innovationIndustrial RevolutionCompounding technological progress
DrTraceyMarksSep 3, 2025Why You Lose Control in Arguments (and How to Stop It): A Neuroscience Perspective
PsychologyNeural networksAmygdalaHypothalamusPrefrontal cortex
hubermanlabMay 29, 2025The Philosophical and Practical Dimensions of AI: From Self-Supervised Learning to Human-Robot Relationships
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks
DocSnipesJan 11, 202511 Powerful Rituals for Emotional Healing and Resilience
Self-DevelopmentEmotional woundsJournalingDistress signalsHardiness (commitment, control, challenge)
drekbergNov 1, 202410 Warning Signs of Dementia a Decade Before It Happens: A Functional Approach to Brain Health and Degeneration
HealthDementiaBrain degenerationFunctional model of diseaseStandard medical model- hubermanlabJan 29, 2024
The Neuroscience of Working Memory: Mechanisms, Distinctions, and Tools for Enhancement
NeuroscienceWorking MemoryAttentionLong-term Memory (Declarative)Long-term Memory (Procedural) - hubermanlabNov 27, 2023
Unlocking Potential, Motivation, and Creativity: The Science of Performance with Adam Grant
PsychologyOrganizational PsychologyProcrastinationPrecrastinationIntrinsic Motivation 
lexfridmanMay 9, 2023Stephen Wolfram on ChatGPT, Deep vs. Shallow Computation, Computational Irreducibility, and the Nature of the Observer
ScienceLarge Language Models (LLMs)Wolfram AlphaWolfram LanguageNeural Networks- lexfridmanAug 27, 2022
Magnus Carlsen on Chess Mastery, AI, and the Nature of Greatness in Sports
PsychologyIntuitive understanding (chess)Positional evaluationOpening preparationEndgame technique - drekbergMar 4, 2022
The Neurological Impact of Cell Phones and Social Media on Brain Health and Attention
HealthIntermittent reinforcementDopamine spikeAttention engineersBehavioral addictions - lexfridmanSep 20, 2021
Jay McClelland on Neural Networks, the Emergence of Cognition, and the Mind-Brain Connection
NeuroscienceNeural Networks (artificial and biological)Cognitive PsychologyParallel Distributed Processing (PDP)Backpropagation - lexfridmanSep 9, 2021
Donald Knuth on Early Programming, Machine Learning, Literate Code, and the Future of AI Automation
TechnologyDecimal machine languageAssemblerDebuggingOff-by-one errors - lexfridmanAug 29, 2021
Wojciech Zaremba on OpenAI's GPT-3, Codex, the Nature of Intelligence, Consciousness, and the Future of AI
TechnologyArtificial Intelligence (AI)GPT-3OpenAI CodexGitHub Copilot - lexfridmanAug 20, 2021
Lex Fridman's Analysis of Tesla AI Day: Innovations in Autonomous Driving, AI Training, and the Tesla Bot
TechnologyAutonomous drivingReal-world robotics perception and planningNeural network architectureVector space prediction - hubermanlabJul 19, 2021
The Future of Human-Machine Interaction: AI, Learning, and the Dance with Robots with Dr. Lex Fridman
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks - lexfridmanJan 18, 2021
Max Tegmark on AI, Physics, and the Quest for Intelligible Intelligence
ScienceArtificial General Intelligence (AGI)Existential risks of AIIntelligible intelligenceBlack box AI systems - lexfridmanDec 26, 2020
Machine Learning, Education, and the Philosophy of Computer Science: A Dialogue with Charles Isbell and Michael Littman
TechnologyMachine LearningComputational StatisticsNeural NetworksHyperparameters - drekbergSep 25, 2020
Debunking Belly Fat Exercise Myths: A 10-Day Challenge for Core Strength, Brain Health, and Metabolic Fat Loss
HealthBelly fat (metabolic and hormonal condition)Rectus abdominusAbdominal oblique musclesHip flexor muscles (iliopsoas) - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - lexfridmanAug 23, 2020
Grant Sanderson (3Blue1Brown) on Feynman, Math Visualization, Teaching, and Intuition
ScienceMathematical visualizationManim (animation engine)Neural Networks (implied)Rediscovery learning 
NewEconomicThinkingJul 23, 2020The AI Awakening: Economic Implications of Automation, Remote Work, and the Productivity Paradox
EconomicsArtificial General Intelligence (AGI)AutomationMachine LearningDeep Learning- lexfridmanJul 19, 2020
Neural Networks Learning Spirals: Visualizing Architecture and Hyperparameter Impact
TechnologyNeural networksBinary classificationTensorFlow PlaygroundHyperparameters - lexfridmanJul 3, 2020
The Unified Science of Mind and Brain: Bridging Psychology, Neuroscience, and AI with Matt Botvinick
NeuroscienceCognitive psychologyComputational neuroscienceArtificial intelligenceDeep learning - lexfridmanMay 10, 2020
The Unification of AI Modalities: Vision, Language, and Reinforcement Learning, and the Elusive Definition of 'Hardness' in AI
TechnologyDeep LearningComputer VisionNatural Language Processing (NLP)Reinforcement Learning (RL) - lexfridmanMay 9, 2020
Ilya Sutskever on Building AGI: Self-Play, Simulation, Consciousness, and Human Control
TechnologyArtificial General Intelligence (AGI)Deep LearningSelf-playReinforcement Learning (RL) - lexfridmanMay 8, 2020
Ilya Sutskever on the Deep Learning Revolution, AI's Unity, and the Future of Intelligence
TechnologyDeep Learning RevolutionNeural NetworksBackpropagationHessian-free optimizer - lexfridmanMar 1, 2020
Consciousness as an Epiphenomenon: Narrative Weaving and the Limits of Physics in Understanding the Brain
ScienceConsciousnessEpiphenomenonNon-conscious processesSubconscious - lexfridmanFeb 21, 2020
Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent - lexfridmanFeb 7, 2020
Jim Keller on Elon Musk's First Principles, Tesla Autopilot's Future, and the Craft of Engineering
TechnologyFirst principles thinkingVehicle autonomyExponential improvementHardware acceleration - lexfridmanFeb 5, 2020
Jim Keller on Moore's Law, Microprocessor Design, and First Principles Engineering
TechnologyMicroprocessorMicroarchitectureInstruction Set Architecture (ISA)Transistor - lexfridmanJan 16, 2020
Daniel Kahneman on Deep Learning, System 1 vs. System 2 in AI, and the Future of Machine Intelligence
TechnologySystem 1 (Cognition)System 2 (Cognition)Deep LearningPattern Matching - lexfridmanJan 13, 2020
Lex Fridman's Recipe for Progress in AI: The Essential Roles of Skepticism, Perseverance, and Hard Work
TechnologyDeep learningSkepticismLimitations of deep learningPerseverance - lexfridmanJan 10, 2020
Deep Learning: State of the Art in 2020, Key Advancements, Limitations, and Future Research
TechnologyDeep LearningNeural NetworksPerceptron (single-layer, multi-layer)Backpropagation - lexfridmanNov 25, 2019
Gilbert Strang on Linear Algebra, Teaching, MIT OpenCourseWare, and the Mathematics of AI
ScienceLinear AlgebraMIT OpenCourseWareMatricesVectors - lexfridmanNov 21, 2019
Michael Kearns on Differential Privacy: A Stronger Paradigm for Data Protection in the AI Era
TechnologyDifferential PrivacyAnonymizationProbabilistic AlgorithmAdding Noise (to computations) - lexfridmanNov 12, 2019
Elon Musk on Neuralink, AI, Autopilot, Consciousness, and Humanity's Existential Future
TechnologyConsciousnessScientific MethodArtificial Intelligence (AI)Digital Superintelligence - lexfridmanNov 9, 2019
Bjarne Stroustrup on Precision vs. Fuzziness in Programming: C++, Deep Learning, and Safety-Critical Systems
TechnologyMachine LearningDeep LearningC++ Programming LanguageFuzzy Programming - lexfridmanOct 26, 2019
AI Understanding the World Through Shared Knowledge Frameworks and Human Collaboration
TechnologyShared knowledgeInterpretive foundationKnowledge frameworksPattern matching - lexfridmanOct 8, 2019
Optimizing Neural Network Training: Super Convergence, Learning Rates, and Academic Publishing Challenges
Technologylearning ratesuper convergenceneural networkshyper parameters - lexfridmanSep 14, 2019
François Chollet on Keras, Deep Learning, the Limits of AI, and the Myth of Intelligence Explosion
TechnologyKerasDeep LearningNeural NetworksIntelligence Explosion - lexfridmanSep 1, 2019
Yann LeCun on Neural Networks, Reasoning, and the Future of AI Architectures
TechnologyNeural networksReasoning (AI)Prior structure (AI)Gradient-based learning - drekbergJun 10, 2019
The 36+ Compelling Benefits of Intermittent Fasting for Metabolic Health, Longevity, and Disease Prevention
HealthIntermittent Fasting (IF)Insulin ResistanceBlood Glucose RegulationAutophagy (Self-eating) - lexfridmanJun 3, 2019
TensorFlow's Evolution: From Google Brain's Inception to a Global Open-Source ML Ecosystem
TechnologyDeep LearningTensorFlowOpen SourceGoogle Brain - lexfridmanFeb 26, 2019
Deep Learning, Safety, and the Industrialization of Autonomous Mobility
TechnologyDeep learningAutonomous driving/vehicles (AVs)Machine learningPerception system - lexfridmanFeb 1, 2019
Self-Driving Cars: State of the Art, Challenges, and the Human Experience (2019)
TechnologyAutonomous Vehicles (AVs)Semi-autonomous drivingFull autonomyMachine Learning - lexfridmanJan 11, 2019
Deep Learning Basics: Foundations, Progress, and Future Challenges
TechnologyDeep LearningNeural NetworksOptimizationMachine Learning - lexfridmanNov 16, 2018
Vladimir Vapnik: Statistical Learning, VC Theory, and the Nature of Intelligence
ScienceStatistical LearningSupport Vector Machines (SVM)VC Theory (Vapnik-Chervonenkis Theory)Instrumentalism - drekbergJul 9, 2018
How Stress Rewires Your Brain: Mechanisms, Hormones, and Interventions
NeuroscienceBrain cells (neurons)Neural networksSynapsesHypertrophy (cellular growth) - lexfridmanApr 21, 2018
Geoffrey Hinton on Future Deep Learning Excitements: Machine Translation and Semantic Document Search
TechnologyDeep LearningMachine TranslationDocument UnderstandingSemantic Search - drekbergMar 16, 2018
Maximize Your Brain Plasticity For A Super Brain - Doctor Explains Neuroplasticity
NeuroscienceNeuroplasticityNeural NetworksNeuronsSynaptic Connections - lexfridmanMar 2, 2018
Stephen Wolfram on the Computational Universe, Wolfram Alpha, and the Path to Artificial General Intelligence
TechnologyArtificial General Intelligence (AGI)Computational UniverseCellular AutomataWolfram Alpha - drekbergFeb 12, 2018
The Unique Benefits of High-Intensity Interval Training: Brain Stimulation, Circulation, and Hormonal Stress Response
HealthHigh-Intensity Interval Training (HIIT)Steady CardioNervous System ActivationCirculation - lexfridmanJan 25, 2018
Deep Reinforcement Learning: From Raw Data to Reasoning and Real-World Action
TechnologyDeep Reinforcement Learning (DRL)Artificial Intelligence (AI) stackEnd-to-end learningSupervised Learning - lexfridmanSep 27, 2016
Demystifying Deep Learning: A Practical and Conceptual Dive into Torch and Automatic Differentiation
TechnologyMachine LearningDeep Learning LibrariesTorch (programming framework)Lua (programming language) - lexfridmanSep 27, 2016
Deep Reinforcement Learning: Core Methods, Applications, and Policy Gradients
TechnologyDeep Reinforcement Learning (DRL)Reinforcement Learning (RL)Neural NetworksFunction Approximators - lexfridmanSep 27, 2016
The Evolution, Architecture, and Impact of Convolutional Neural Networks in Computer Vision
TechnologyDeep LearningComputer VisionNeural NetworksConvolutional Neural Networks (CNNs) - lexfridmanSep 27, 2016
TensorFlow Core APIs: Building Machine Learning Models from Linear Regression to Digit Recognition
TechnologyTensorFlowMachine Learning LibraryOpen SourceData Flow Infrastructure - drekbergSep 1, 2011
The Brain, Ego, and Happiness: Understanding Stress and Cultivating Presence
PsychologyNeural networksBrain developmentEmotional stressEgo (Eckhart Tolle's definition) - drekbergJul 13, 2011
The Brain's Inhibitory Power: Unlocking Health, Focus, and Emotional Balance from ADD to Chronic Pain
HealthHolismNeuronsSynapsesNeural Networks - drekbergJun 21, 2011
The Holistic Mechanics of Brain Function: Understanding ADD, Depression, and Chronic Pain Through Neuronal Activity
NeuroscienceHolismNeurons (Brain Cells)SynapsesNeural Networks - lexfridman
Peter Norvig on AI Trust, Explainability, and the Seduction of Low-Dimensional Metaphors
TechnologyNeural networksExplainability (of AI)Trust (in AI)Validation (of AI systems) - lexfridman
Oriol Vinyals on Generalist AI Agents, AGI, and the Future of Deep Learning
TechnologyNeural NetworksDeep LearningArtificial General Intelligence (AGI)Reinforcement Learning - lexfridman
Practical Deep Learning Strategies: Scale, End-to-End Architectures, and Evolving Bias-Variance Trade-offs
TechnologyDeep Learning ProgressScale (Data & Computation)Traditional Learning AlgorithmsNeural Networks - lexfridman
Andrew Ng on Deep Learning, Education, Automation, and the Future of AI Development
TechnologyMachine LearningDeep LearningArtificial Intelligence (AI)Automation - lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised Learning - lexfridman
Noam Chomsky on Language, Cognition, Deep Learning, and the Limits of Human Understanding
ScienceInternal language system (I-language)External language system (E-language)Language facultyStructure dependence - lexfridman
Andrej Karpathy on AI, Emergent Intelligence, the Fermi Paradox, and the Universe as a Computable Puzzle
TechnologyNeural NetworksMathematical AbstractionMatrix MultipliesNonlinearities - lexfridman
The Business and Philosophy of Machine Learning: Promise, Limitations, and the Quest for General Intelligence
TechnologyMachine LearningArtificial Intelligence (AI)Deep LearningSupervised Learning - lexfridman
MIT AGI: Engineering Intelligence - Bridging Theory, Practice, and Societal Impact
TechnologyArtificial General Intelligence (AGI)Deep LearningReinforcement LearningComputational Cognitive Science - lexfridman
Deep Reinforcement Learning Fundamentals: From Perceptrons to Q-Learning for Motion Planning
TechnologyDeep Reinforcement Learning (DRL)Supervised LearningUnsupervised LearningSemi-supervised Learning - lexfridman
MIT 6.S094: Deep Learning for Self-Driving Cars - Foundations, Challenges, and Human-Centered AI
TechnologyDeep LearningSelf-Driving CarsArtificial Intelligence (AI)Reinforcement Learning - lexfridman
Convolutional Neural Networks for End-to-End Learning of the Driving Task: Computer Vision, Image Classification, and Self-Driving Car Automation
TechnologyConvolutional Neural NetworksComputer VisionImage ClassificationSelf-Driving Cars - lexfridman
Google Pixel 6 AI Explained: Deep Dive into the Tensor Chip and Smartphone Machine Learning
TechnologyNeural NetworksTensorFlow LiteAI Hardware OptimizationSystem on a Chip (SoC) - lexfridman
Programming Meme Review with George Hotz: Automation, AI, and the Culture of Code
TechnologyProgramming memesAutomation paradoxSelf-driving carsKnowledge outsourcing - lexfridman
Ray Kurzweil on the Future of Intelligence, AGI, Deep Learning, and the Hierarchical Neocortex
TechnologyArtificial General Intelligence (AGI)Deep LearningNeural NetworksLaw of Accelerating Returns - lexfridman
Rodney Brooks on the Nature of Intelligence, Computation, and the Future of Robotics
TechnologyRoboticsArtificial Intelligence (AI)Humanoid RobotsSeries Elastic Actuators
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