AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

8 courses · 111 standalone talks · 283 total lectures

All AI & ML Language Models & NLP (114)Deep Learning (87)Statistical Learning & Causality (60)Algorithms & Data Structures (43)Reinforcement Learning (38)Complex Systems & Scaling (21)Neuroscience & Cognition (19)Probability & Information Theory (17)machine learning (15)Moral & Political Philosophy (14)

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On the Emergence of Representational Geometry from Natural Language Statistics

On the Emergence of Representational Geometry from Natural Language Statistics

AI & ML·Research Seminar · Yasaman Bahri · Harvard University

Yasaman Bahri Harvard University

1:08:42

Computing, Life, and Intelligence (SFI-CX)

Computing, Life, and Intelligence (SFI-CX)

SFI-CX · Lec 9 · Blaise Agüera y Arcas · Santa Fe Institute

Blaise Agüera y Arcas Santa Fe Institute

1:23:05

Conceptual Abstraction and Analogy in Natural and Artificial Intelligence

Conceptual Abstraction and Analogy in Natural and Artificial Intelligence

AI & ML·Research Seminar · Melanie Mitchell · Santa Fe Institute

Melanie Mitchell Santa Fe Institute

1:17:48

Speculations on Test-Time Scaling for Large Language Models (o1)

Speculations on Test-Time Scaling for Large Language Models (o1)

AI & ML·Research Seminar · Sasha Rush · Cornell University

Sasha Rush Cornell University

47:55

Marin: An Open Lab For Frontier AI

Marin: An Open Lab For Frontier AI

AI & ML·Research Seminar · Percy Liang · Stanford University

Percy Liang Stanford University

1:03:56

Metacognitive Intelligence in Human-AI Teams

Metacognitive Intelligence in Human-AI Teams

Theory & Algos·Research Seminar · Aaron S. Benjamin · Santa Fe Institute

Aaron S. Benjamin Santa Fe Institute

58:17

Physical Insights from Discriminative and Generative Models for Frictional Surface Design

Physical Insights from Discriminative and Generative Models for Frictional Surface Design

AI & ML·Research Seminar · Anders Malthe-Sørenssen · University of Oslo

Anders Malthe-Sørenssen University of Oslo

40:32

Model Scale Versus Domain Knowledge in Long-Term Forecasting of Chaos

Model Scale Versus Domain Knowledge in Long-Term Forecasting of Chaos

AI & ML·Research Seminar · William Gilpin · University of Texas at Austin

William Gilpin University of Texas at Austin

45:04

From Polar Ice to Rising Seas: Advancing Climate Science with Machine Learning

From Polar Ice to Rising Seas: Advancing Climate Science with Machine Learning

AI & ML·Research Seminar · Karianne Bergen · Brown University

Karianne Bergen Brown University

43:02

Data-Driven Approaches to Mitigate Chalk Influxes

Data-Driven Approaches to Mitigate Chalk Influxes

AI & ML·Conference Talk · Felix Kohler · Expert Analytics

Felix Kohler Expert Analytics

39:43

From Scheduled to Predictive Maintenance in Hydropower using AI

From Scheduled to Predictive Maintenance in Hydropower using AI

AI & ML·Conference Talk · Pia Zacharias · Statkraft

Pia Zacharias Statkraft

58:04

Science Education for AI: Beyond AI in Science Education

Science Education for AI: Beyond AI in Science Education

AI & ML·Public Colloquium · Danny Caballero · Michigan State University

Danny Caballero Michigan State University

40:19

1. Introduction

1. Introduction

HIST 202 · Lec 1 · John Merriman · Yale University

John Merriman Yale University

36:18

Neurotechnology and the Recovering Brain

Neurotechnology and the Recovering Brain

SFI-CX · Lec 1 · Santa Fe Institute Faculty · Santa Fe Institute

Santa Fe Institute Faculty Santa Fe Institute

1:14:50

3. Ways In and Out of the Hermeneutic Circle

3. Ways In and Out of the Hermeneutic Circle

ENGL 300 · Lec 3 · Paul H. Fry · Yale University

Paul H. Fry Yale University

46:44

Introduction to Large Language Models

Introduction to Large Language Models

NN-Z2H · Lec 11 · Andrej Karpathy · Eureka Labs

Andrej Karpathy Eureka Labs

59:48

Lecture 20: Scaling Laws (6.7960)

Lecture 20: Scaling Laws (6.7960)

6.7960 · Lec 20 · Phillip Isola · MIT

Phillip Isola MIT

38:23

Lecture 07: Scaling Rules for Optimization (6.7960)

Lecture 07: Scaling Rules for Optimization (6.7960)

6.7960 · Lec 7 · Jeremy Bernstein · MIT

Jeremy Bernstein MIT

1:20:56

Lecture 15: Tropical Medicine as a Discipline (HIST 234)

Lecture 15: Tropical Medicine as a Discipline (HIST 234)

HSHM 202 · Lec 15 · Frank M. Snowden · Yale University

Frank M. Snowden Yale University

46:08

Lecture 9: Linguistics and Literature (ENGL 300)

Lecture 9: Linguistics and Literature (ENGL 300)

ENGL 300 · Lec 9 · Paul H. Fry · Yale University

Paul H. Fry Yale University

49:54

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