Quantum Computing at the DLR Institute of Software Technology - Algorithms and Applications
Explore quantum computing activities at DLR, covering low-level algorithms, optimization, quantum simulation, and hybrid computing across the entire software stack from hardware to applications.
Mixing Precisions in Numerical Algorithms - HPC Perspective with Modern Hardware Context
Explore mixed precision algorithms in HPC, focusing on convergence properties and performance considerations for modern hardware implementations of floating-point arithmetic.
Rapidly Deploying and Delivering a Sustainable National Exascale AI Research Resource - Isambard-AI Case Study
Explore the rapid deployment and sustainability of Isambard-AI, a national Exascale AI research resource in the UK, including its architecture, applications, and impact on AI research.
A Statistical Journey through Trustworthy AI
Explore statistical perspectives on privacy, robustness, and fairness in AI, focusing on machine un-learning, adversarial robustness, and fair Bayes-optimal classifiers.
Set Valued Hamilton-Jacobi-Bellman Equations - Applications and Theory
Explore set valued PDEs and their applications in stochastic optimization, risk measures, and game theory. Learn about dynamic programming principles and set valued HJB equations.
Clustering a Mixture of Gaussians with Unknown Covariance - Lecture
Explore clustering with Gaussian mixtures, focusing on maximum likelihood estimation, Max-Cut solutions, and efficient algorithms. Investigate statistical-computational gaps and challenges in high-dimensional settings.
Online k-means Clustering on Arbitrary Data Streams - Lecture
Explore online k-means clustering for arbitrary data streams, focusing on a novel algorithm with polynomial space and time complexity and provable guarantees without input assumptions.
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter
Explore differentially private stochastic optimization techniques for loss functions with large worst-case Lipschitz parameters, addressing outliers and heavy-tailed data for improved excess risk bounds.
Continuous-in-time Limit for Bandits
Explore the connection between Hamilton-Jacobi-Bellman equations and multi-armed bandit problems, and discover an efficient algorithm for solving MAB challenges.
Foundations for Feature Learning via Gradient Descent
Explore the theoretical foundations of feature learning in modern machine learning models, focusing on gradient descent's role in extracting useful features and representations from data.
Are Neural Networks Optimal Approximation Algorithms for Constraint Satisfaction Problems?
Explore neural networks' capability to solve NP-hard optimization problems, focusing on constraint satisfaction and their potential as optimal approximation algorithms.
Fine-tuning FinOps Approach: The Next Step
Explore advanced FinOps methodology for large organizations. Learn to establish observability at scale, detect usage patterns, and foster dialogue between teams to achieve long-term financial and technical goals.
Getting Superpowers with Clojure and ClojureScript
Discover Clojure and ClojureScript's superpowers for development. Explore data-driven approaches, REPL workflow, and interoperability with JavaScript and Java. Learn about Babashka for fast startup in various scenarios.
Future of AI and ML in Software Testing
Explore AI's impact on software testing, including challenges, self-healing scripts, and future contributions. Learn to improve processes and implement risk-based methods using AI insights.
Nobody Knows Your Service is Open Source - Improving Open Source Service Visibility
Explore a proposal for "open source service" branding, focusing on user experience patterns that convey code openness, location, and contribution guidelines for managed services.
Team Transformation to Accelerate Value Delivery
Discover strategies for building high-performing teams, fostering motivation, and delivering greater customer value through Agile principles and effective leadership techniques.
Secure Python Development: Tips, Tricks, and Tools
Explore Python-specific security challenges and solutions, including package management, SAST, and best practices for DevOps environments.
Ask for Help Like a Pro
Navigate open source communities effectively and learn strategies for seeking help efficiently in technical environments.
Resiliency at the Edge - Automated Health Checks and Recovery for Remote Devices
Explore greenboot framework for Edge device resilience, including health checks and OS rollback. Learn implementation, see a demo, and discover future plans.
Device Provisioning at the Edge
Explore efficient and secure device provisioning for Edge systems, including requirements, tools, and lessons learned from RHEL and Fedora IoT teams.
Stream Processing at the Edge with Apache Kafka
Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.