Henry Adams - Topology in Machine Learning
Explore persistent homology in machine learning, covering applications in materials science, computer vision, and agent-based modeling. Learn how topology relates to dataset geometry and explainable AI.
High-Throughput Spectroscopy and Material Discovery by Beyond-DFT Work and Data-Analysis
Explore high-throughput spectroscopy and materials discovery using advanced computational methods, workflows, and data analysis frameworks for accelerated insights in materials science.
Statistics, Topology and Data Analysis
Explore the synergy between statistics and topological data analysis for solving real-world problems, with a focus on supervised learning and applications in materials science.
Topological Data Analysis Based Machine Learning Models for Drug Design
Explores TDA-based models for effective molecular representation in drug design, combining persistent homology, spectral models, and Ricci curvature with machine learning for improved performance.
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.
Quasiperiodicity and Persistent Kunneth Theorems
Explore quasiperiodicity in signals, persistent homology, and Kunneth theorems. Learn applications in time series analysis and computational chemistry through topological data analysis.
High-Dimensional Data, Level-Set Geometry, and Voronoi Analysis of Point Sets
Explore spatial point sets, high-dimensional data analysis, and Voronoi cell topology to understand complex physical systems and classify data structures in innovative ways.
The Behavioural Ecology of Religious Belief and Practice
Explore the evolutionary and ecological aspects of religious beliefs and practices, including their impact on behavior, reputation, and social structures.
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.
COVID, Burnout, and the Loss of Empathy
Explore the impact of pandemic-related moral injury on healthcare workers, examining the loss of empathy and its manifestations in various contexts.
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.
APS Webinars - Controversy - Effective Tools for Engaging in Controversial Topics
Explore effective strategies for navigating emotionally charged discussions on controversial topics like climate change, enhancing your ability to engage in meaningful dialogue.
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-Driven Discovery: Revolutionizing Medical Research
Discover how big data and outsourced research are revolutionizing scientific inquiry, challenging traditional methods, and unlocking new possibilities in genomics and medicine.
Reliability, Everyone’s Responsibility - Intro to Site Reliability Engineering Practices
Explore the fundamentals of Site Reliability Engineering, including SLAs, SLOs, and SLIs. Learn to establish a culture of reliability and navigate complex systems for robust platform maintenance.
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.
Presentation by Artists Selected for the Connect India Arts Residency by Rohini Devasher & Elisa Storelli
Exploración artística del tiempo, la ecología y el espacio por Rohini Devasher y Elisa Storelli, presentando sus obras y perspectivas únicas sobre la percepción humana y los fenómenos naturales.
RokOtok - Swimming and Storytelling for a Better World
Domagoj Jakopović dijeli iskustvo posjećivanja svih naseljenih hrvatskih otoka plivanjem, s ciljem usrećivanja djece i činjenja dobra za svijet kroz projekt RokOtok.