IAIFI Colloquium Series: A path towards human-level intelligence

(1:17:35)

IAIFI Colloquium-Physics of Neural Phenomena:Understanding Learning and Computation through Symmetry

(1:1:52)

IAIFI Colloquium Series-Data science techniques for optimal cosmology analysis

(1:6:38)

IAIFI Colloquium Series

(1:14)

IAIFI Colloquium Series

(1:19)

IAIFI Colloquium Series: Vignettes in physics-inspired AI research

(1:3:)

The Complete Mathematics of Neural Networks and Deep Learning

(5:53)

IAIFI Fireside Chat: 2024 Nobel Prize in Physics

(1:54:59)

Using Machine Learning to Unveil the Invisible Universe

(36:8)

AI for physics \u0026 physics for AI

(49:4)

Artificial Intelligence Colloquium: Accelerating Chemistry with AI

(25:34)

Improbable AI Lab Tour Introduction with Professor Pulkit Agrawal

(8:16)

IAIFI Colloquium: Transformers meet Lyapunov: Solving a long-standing open problem in mathematics

(53:39)

Co-Intelligence: AI in the Classroom with Ethan Mollick | ASU+GSV 2024

(24:48)

The Impact of chatGPT talks (2023) - Dr Siddharth Mishra-Sharma (MIT/IAIFI)

(8:23)

Interpretable Deep Learning for New Physics Discovery

(24:8)

IAIFI Colloquium Series: Computational Microscopy

(55:20)

IAIFI Colloquium: Navigating the String Landscape with Machine Learning Techniques

(1:6:22)

IAIFI Colloquium–Merging Deep Learning with Physical Models for the Analysis of Cosmological Surveys

(1:2:43)

IAIFI Colloquium Series: Prospects for understanding the physics of the universe

(55:47)

IAIFI Colloquium: Ab-initio AI for first-principles calculations of the structure of matter

(1:5:43)

IAIFI Colloquium: Understanding computation using physics and exploiting physics for computation

(1:10:53)

IAIFI Colloquium Series: Can We Explicitly Unknot?

(1:10:29)

IAIFI Colloquium Series: Understanding deep learning

(1:13:59)

IAIFI Colloquium Series: Quick and Quirk with Quarks

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