Lectures related to AI for Science

Socially-aware Artificial Intelligence for Last-mile Mobility

Explores socially-aware AI for last-mile mobility, focusing on understanding social etiquettes, anticipating behaviors, and forecasting crowd movements.

Gradient-Based Algorithms in High-Dimensional Learning

Provides insights on gradient-based algorithms, deep learning mysteries, and the challenges of non-convex problems.

Differentiable Ranking and Sorting

Explores differentiable ranking and sorting techniques for machine learning applications.

Data-Driven Modeling of Haemodynamics in Vascular Flows

Explores data-driven modeling of haemodynamics in vascular flows, focusing on computational challenges, reduced order modeling, FSI problems, and neural network applications.

Machine Learning for Solving PDEs: Random Feature Method

Explores the Random Feature Method for solving PDEs using machine learning algorithms to approximate high-dimensional functions efficiently.

Projectile Motion: Frictional Effects

Discusses projectile motion with friction and systems with inclined planes and pulleys.

Physics-inspired Machine Learning for Materials Discovery

Delves into physics-inspired machine learning for materials discovery, emphasizing atomic-scale modeling, thermodynamics, anharmonic free energies, and symmetry in machine learning models.

Systems for Health, Security, Energy and the Environment

Covers the Swiss Research Program on Engineering Multi-Scale Systems for Health, Security, Energy, and the Environment.

Projectile Motion: Friction Effects

Explores projectile motion with friction effects and dynamics of polar expeditions.

Intelligent Maintenance Systems

Discusses faults in intelligent maintenance, Denoising Sparse Wavelet Network, Koopman operator theory, and Graph Neural Networks.

Autonomous Vehicles: Intelligence and Perception

Explores intelligence, perception, and AI applications in autonomous vehicles, emphasizing rational thinking and social intelligence.

Science and Religion: Exploring Intersections

Explores the historical conflict and evolving perspectives on the relationship between science and religion, highlighting the challenges of maintaining distinct spheres.

Numerical Physics: Fourier Transforms and Linear Algebra

Covers advanced topics in computational physics, focusing on Fourier transforms and linear algebra.

CIS Open Campus Event 2020: Progress & Collaboration in Intelligent Systems

Covers the CIS Open Campus Event 2020, featuring progress reports, collaboration grants, panel discussions, and a keynote on human-centric mobility.

Physics-inspired Computing and Neuromorphic Algorithms

Explores physics-inspired computing, analog computing, optical computing, and the potential of spin waves for physics-based computing.

Vision-Language-Action Models: Training and Applications

Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.

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Safe Machine Learning: Cryptographic Opportunities Log in to Mediaspace to watch this video

Explores the intersection between machine learning and cryptography, focusing on safe machine learning through cryptographic tools and models.

Learning-aided Program Reasoning Log in to Mediaspace to watch this video

Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.

Master's Program in Computational Science and Engineering Log in to Mediaspace to watch this video

Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.