Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes
Explore Volcano: a powerful batch scheduling system for high-performance workloads on Kubernetes. Learn key concepts, features, and real-world use cases for ML/DL, big data, and bioinformatics applications.
Building a Multi-Node Cluster with K3s Using ARM Devices for Edge Computing
Explore edge computing with K3s on ARM devices. Learn to build a production-ready cluster using Raspberry Pi, configure networks, and implement cloud-native storage for efficient data processing at the edge.
Making Sense of Chaos: Implementing Chaos Engineering in a Fintech Company
Discover how GoTo Financial implements chaos engineering to uncover systemic weaknesses, build confidence in complex systems, and comply with financial regulations while maintaining service level objectives.
Energy Efficient Placement of Edge Workloads
Explore Kepler for container-level energy metrics in Kubernetes, enabling efficient workload placement and sustainable cluster management through integration with observability tools.
Observing Kubernetes Networking with Cilium, Hubble, and Grafana
Explore Kubernetes networking observability using Cilium, Hubble, and Grafana. Learn to visualize application communication, debug issues, and uncover underlying problems in complex cloud-native environments.
Five Ways to Understand Kubernetes Networking for Performance-Intensive Workloads
Explore Kubernetes networking innovations for high-performance workloads. Compare CNI implementations using real-world benchmarks to analyze performance in scientific computing and machine learning.
The Power of Graph Learning - Richard M. Karp Distinguished Lecture
Explore graph learning's applications, methods, and theoretical foundations. Discover connections between graph learning and database theory for insights into expressive power potential.
Quantum Cryptography - Session 1
Explore cutting-edge quantum cryptography concepts and advancements presented at Crypto 2023, offering insights into the future of secure communication and data protection.
Is AI a Substitute or Subordinate?
Exploring AI's impact across fields, this talk examines its benefits and drawbacks, emphasizing responsible use and the importance of human creativity in the age of artificial intelligence.
The Impact of Machine Learning on Material Innovation and Scientific Progress
Explore AI's impact on science, business, and technology with Meta's Joe Spisak. Discuss GPT, Llama2, and AI applications in biology and material science. Examine ethical considerations and the future of open-source AI development.
Energy Observability Using Kepler - Revolutionizing Cloud Efficiency
Explore Kepler, an innovative framework for monitoring power consumption in Kubernetes environments, enhancing cloud efficiency through advanced observability techniques and machine learning.
What the AI Revolution Means for Open Source, Open Tech and Open Societies
Explore AI's impact on open-source communities, addressing challenges in access, innovation, discrimination, and environmental concerns while discussing potential solutions and ethical frameworks.
Violet Teaming AI in the Life Sciences
Explore AI's impact on life sciences, balancing opportunities in health and biosecurity risks. Learn about violet teaming to maximize benefits while minimizing downsides in biological engineering.
Data-Centric Approach to Machine Learning in Health Applications
Explore robust data management practices for machine learning in health applications, addressing common pitfalls and showcasing solutions from neuroscience and cell biology research.
AI on the Edge: Neuromorphic Computing - Session 2
Explore neuromorphic computing through research on brain-machine interfaces, electronic skin, hippocampal memory prostheses, and retina-inspired circuits.
Federated Learning and Integration of Biomedical Data
Explore federated learning for secure biomedical data collaboration, integrating data harmonization and imputation techniques. Discover applications in neuroimaging tasks.
Meta-Learning Dynamics Forecasting Using Task Inference
Explore meta-learning dynamics forecasting using task inference to improve generalization across heterogeneous domains in deep learning models for predicting complex systems.
Modelling Ecosystems with Deep Reinforcement Learning
Explore ecosystem simulation using deep reinforcement learning, analyzing ecological impacts of human activities for informed decision-making in environmental planning.
Cyberinfrastructure Needs for Field Geology - Insights from Yosemite and Owens Valley
Explore challenges and opportunities for AI in field geology through a computer scientist's perspective on a unique interdisciplinary field trip to Yosemite and Owens Valley.
Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning
Explore expert-informed, user-centric explanations for image classification using deep learning. Gain insights into diagnostic feature labeling and its applications in various fields.
The Quest for the Final Quantum Computer
Explore quantum computing basics, cutting-edge algorithms, and future prospects in experimental quantum computers with insights from a postdoctoral researcher.