Calling the Shot: How AI Predicted Fusion Ignition Before It Happened
Explore how AI predicted fusion ignition at the National Ignition Facility, revolutionizing clean energy research and bringing us closer to harnessing the power of the stars.
Exploring Relativistic Laser Plasmas with Hard X-ray FELs - Status of HIBEF at European XFEL
Explore relativistic laser plasmas and hard X-ray FELs, focusing on the HIBEF project at European XFEL. Gain insights into cutting-edge research in high-energy density science.
Machine Learning Applications in Scientific Problems with Sparse Data - Afternoon Address
Explore Dr. Kelli Humbird's career in data science, focusing on inertial confinement fusion and machine learning applications in scientific problems with sparse data.
ML for Solving PDEs: Neural Operators on Function Spaces
Explore AI advancements in scientific applications, including neural operators for weather and climate modeling, offering significant speedups and zero-shot generalization across function spaces.
Generative Machine Learning Approaches for Data-Driven Modeling and Reductions of Non-Linear Dynamics
Explore generative machine learning for data-driven modeling and reductions in scientific simulations, focusing on GD-VAEs and SDYN-GANs for non-linear dynamics and stochastic systems.
Guided Deep Learning Manifold Linearization of Porous Media Flow Equations for Digital Twins Operations
Explore advanced techniques in Digital Twin operations for reservoir management, focusing on physics-aware machine learning methods to enhance simulation accuracy and efficiency.
Leveraging Latent Representations for Predictive Physics-Based Modeling
Explore advanced techniques for leveraging latent representations in predictive physics-based modeling, focusing on surrogate models, inverse problems, and transfer learning for complex PDEs.
Ontologies, Graph Deep Learning, and AI in Materials Science
Explore ontologies, graph deep learning, and AI in materials science, focusing on advanced manufacturing and synchrotron science. Learn about innovative approaches for multimodal analysis and decision-making.
Future of Knowledge: The Role of AI
Explore AI's impact on knowledge management and scientific understanding with insights from Iris.ai's CTO. Gain perspective on innovative AI applications in processing scientific data.
Higher Education Institutions and Their Role in Promoting Health, Safety and the Environment
Explore the vital role of higher education in promoting health, safety, and environmental awareness, focusing on curriculum integration and HSE culture implementation in Sudan's educational settings.
Moving Beyond Data Pseudoscience - Methods and Philosophy for Effective Data Science
Explore effective data science methods and philosophies to move beyond pseudoscience. Gain insights into robust approaches for meaningful analysis and interpretation of data.
How to Increase Recycling Using Data Analytics
Explore data-driven strategies to boost electrical recycling through partnerships, awareness campaigns, and insights into overcoming barriers to recycling behavior.
What is Machine Learning - Lecture 1
Explore machine learning fundamentals with Dr. Kotb in this introductory lecture, focusing on applications in petroleum engineering and energy transition.
What is Machine Learning - Lecture 2
Explore machine learning fundamentals, data preprocessing, and Python basics for energy and petroleum applications.
Doing for Sustainability What Open Source Did for Software - Impact Framework
Explore Impact Framework, an open-source tool quantifying software's environmental impact. Learn its history, core concepts, and practical application through a live demonstration.
Quantum Symmetries
Explore quantum symmetries with expert Andrzej Sitarz, delving into advanced mathematical concepts and their applications in modern physics.
Conserved Quantities and Regularity in Fluid Mechanics
Explore conserved quantities and regularity in fluid mechanics, gaining insights into fundamental principles and advanced concepts in this field.
Chern-Simons Field Theory Invariants - Knots, Links and Three-Manifolds - Part 1
Explore Chern-Simons field theory invariants and their applications to knots, links, and three-manifolds in this advanced mathematics lecture.
Chern-Simons Field Theory Invariants - Knots, Links and Three-Manifolds - Part 2
Explore advanced concepts in Chern-Simons field theory, focusing on invariants of knots, links, and three-manifolds in this continuation lecture.
Chern-Simons Field Theory Invariants - Knots, Links and Three-Manifolds - Part 3
Explore Chern-Simons field theory invariants, focusing on knots, links, and three-manifolds in this advanced mathematical lecture.
Topological Evolution of Time in Unimodular Gravity
Explore the concept of topological evolution of time within the framework of Unimodular Gravity, as presented by Sayyed Rassouli from the University of Nottingham.