Geometry and Topology of Periodic Point Sets, for Example Crystals
Explore geometric and topological tools for characterizing crystalline materials, including Brillouin zones and persistent homology, and discuss challenges in defining persistent homology for periodic point sets.
Sequence Alignment - Hidden Markov Models, Category Theory and All That Jazz by Soumyashant Nayak
Explore sequence alignment methods, from traditional algorithms to modern pseudo-alignment techniques, with insights on hidden Markov models and applications in RNA-Seq data analysis and evolutionary genetics.
GPU Accelerated Computation of VR Barcodes in Evaluating Deep Learning Models
GPU-accelerated computation of VR barcodes for evaluating deep learning models, focusing on Ripser++ software and its applications in measuring data distribution shifts and analyzing attention graphs in BERT models.
A Multi-Parameter Persistence Framework for Mathematical Morphology
Exploring mathematical morphology through persistent homology, offering new insights for image processing and automated denoising techniques in binary, grayscale, and color images.
Barbara Giunti - Average Complexity of Barcode Computation for Vietoris-Rips Filtrations
Explore algorithmic complexity of persistent homology in random Vietoris-Rips filtrations, focusing on boundary matrix fill-up and its implications for computational efficiency.
RSAC 365 Virtual Seminar - Risk Management & Governance
Explore cybersecurity risk management through expert discussions on integrating compliance and security, optimizing efficiency, and leveraging cybermaturity concepts for stronger organizational resilience.
On Modeling Investors in Simulated Markets
Explore multi-agent market simulations, from market replay to advanced AI-driven models. Learn about trading agent design, market impact analysis, and applications in financial research.
DOSBox Retro Gaming - PC & Pi
Learn to set up and use DOSBox for retro gaming on Windows and Raspberry Pi, including installation, configuration, game acquisition, and gamepad setup.
Windows Systems and Code Signing Protection
Explore Windows systems and code signing protection techniques, focusing on security vulnerabilities and mitigation strategies for software developers and cybersecurity professionals.
Abusing Symbolic Links on Windows - A Link to the Past
Explore techniques for exploiting symbolic links on Windows systems, uncovering potential vulnerabilities and security risks in file system operations.
Learning Distances for Attributed Graphs with Optimal Transport
Explore optimal transport techniques for learning distances between attributed graphs, enhancing graph analysis and comparison methods in data science.
Learning from Unreliable Labels via Crowdsourcing
Explore techniques for learning from unreliable labels in crowdsourcing, presented by experts in signal processing and data science for the DEGAS Webinar Series.
Principled Simplicial Neural Networks for Trajectory Prediction
Learn advanced techniques for trajectory prediction using simplicial neural networks, exploring their principles and applications in data science and signal processing.
Distributed Stochastic Non-Convex Optimization - Optimal Regimes and Tradeoffs
Explore optimal regimes and tradeoffs in distributed stochastic non-convex optimization with Usman A. Khan. Gain insights into advanced data science concepts and their applications in signal processing.
Federated Learning in Big Data Over Networks
Explore federated learning techniques for big data networks, focusing on distributed algorithms and privacy-preserving methods in large-scale data analysis.
Neural Diffusion PDEs, Differential Geometry, and Graph Neural Networks
Explore neural diffusion PDEs, differential geometry, and graph neural networks in this advanced webinar by Michael Bronstein, bridging theoretical concepts with practical applications in data science.
How to Get Hired as an Artist in the CG Industry
Insider tips for landing a CG industry job from Gnomon School founder Alex Alvarez. Learn best practices for students, self-learners, and aspiring artists to stand out and succeed in the competitive field.
Learn Excel from Scratch - Microsoft Excel for Beginners
Comprehensive introduction to Microsoft Excel, covering basic functions, formulas, and data manipulation techniques for beginners. Interactive session with hands-on practice and Q&A opportunities.
Data Science Basics for Absolute Beginners
Comprehensive introduction to Data Science fundamentals, covering key components, job roles, and career prospects. Ideal for beginners seeking to enter this high-demand field.
Learn Python Step by Step - Python Tutorial for Beginners
Comprehensive introduction to Python programming, covering fundamentals, data structures, and popular libraries. Ideal for beginners seeking a structured approach to learning this versatile language.
Microsoft Excel for Beginners in 2022 - Excel Training
Master essential Excel skills for data analysis and visualization, including formulas, sorting, filtering, and basic functions. Ideal for beginners seeking to enhance productivity and efficiency.