Career Development Workshops for Women in Physics - No Longer Alone
Empowering workshops for women in physics, focusing on career development, skill-building, and networking. Addresses unique challenges and provides tools for success in a male-dominated field.
Strictly-Correlated Electron Functional and Multimarginal Optimal Transport
Explore convex optimization methods for multi-marginal transport problems in density functional theory, including relaxation techniques and rounding schemes for energy bounds.
Tensor Networks for Machine Learning and Applications
Explore tensor networks in machine learning, their benefits, and applications. Learn about model functions, optimization algorithms, and potential insights for matching architectures to data types.
Liquid Crystals Dynamics - What Persistent Homology Reveals
Explore liquid crystal phase transitions through persistent homology, revealing thermodynamic features and structural changes in nanocomposites using advanced data analysis techniques.
Data-Driven Modeling & TDA of Self-Organized Multicellular Architectures
Explore data-driven modeling and topological data analysis for classifying multicellular structures in cancer and embryonic development, focusing on cell motility and adhesion patterns.
Four Fascinating Paradoxes
Explore four mind-bending paradoxes: choice, traveler's, twin, and grandfather. Experts discuss these puzzling concepts, challenging your perception of reality and sparking deep philosophical thought.
Introduction to the Geometry of Tensors
Explore the geometric perspective of tensors, their applications, and how this viewpoint enhances understanding in various fields. Gentle introduction suitable for beginners.
Robust Principal Component Analysis
Explore robust PCA for handling corrupted data in fields like fluid mechanics and image processing. Learn its applications and importance in data-driven science and engineering.
Workshop on Parameter Estimation with Bilby by Greg Ashton
Learn parameter estimation techniques for gravitational wave analysis using bilby software, focusing on Bayesian inference and practical applications in astrophysics.
Shape of Data in Biology - Extending the PH Pipeline
Exploring spatial structure in biological data using topological data analysis, with focus on knotted proteins and introducing hyperTDA for interpretable, automated analysis of complex systems.
Universes as Bigdata- From Geometry, to Physics, to Machine-Learning
Explore the intersection of string theory, geometry, and machine learning in physics, examining how AI aids mathematical research across various fields.
Sperm Whale Communication - What We Know So Far - Understanding Whale Communication: First Steps
Explore the latest discoveries in sperm whale communication, combining insights from machine learning, signal processing, and marine biology to decode and understand these fascinating underwater conversations.
Project CETI Next Steps - Industrial-Scale Whale Bioacoustic Data Collection and Analysis
Exploring industrial-scale whale bioacoustic data collection and analysis for decoding sperm whale communication, leveraging machine learning and interdisciplinary expertise to understand and protect marine life.
Innovative Medical Inventions from Intellectual Ventures Research Lab
Explore innovative medical inventions from Intellectual Ventures, including self-disinfecting surfaces, backscatter imaging, and heat energy applications.
Modeling Physical Structure and Dynamics Using Graph-Based Machine Learning
Explore graph-based machine learning for modeling physical structures and dynamics, covering algorithms, architectures, simulations, and applications in various domains.
Data Mining the Many-body Problem - From Equilibrium to Driven Systems by Marcello Dalmonte
Explore data mining techniques for many-body systems, from equilibrium to driven states. Learn to analyze complex quantum phenomena and their applications in theoretical physics.
Particle Methods for Optimization Over Measures - Lecture 2
Explore particle methods for measure optimization, focusing on theoretical foundations and practical applications in data science and machine learning.
Probabilistic Methods in Data Science - Lecture by Aurélien Garivier
Exploration des méthodes probabilistes et d'optimisation en science des données, mettant l'accent sur les techniques analytiques et algorithmiques pour traiter efficacement les grands volumes de données.
Efficient Access to Shared GPU Resources: Mechanisms and Use Cases
Explore GPU scheduling in Kubernetes, including time sharing and Nvidia MIG, to optimize resource utilization for HEP and machine learning workloads. Benchmark results and management strategies included.
The Power of Narrative Adventure
Explore the impact of storytelling with insights from an audiobook pioneer and a theoretical physicist, delving into the art of capturing human experiences through compelling narratives.
Launching Your Postdoc Position in Physics
Strategies for securing a postdoc in physics: CV preparation, research statements, interviews, and key considerations for success in academia and industry.