Sustainability and Efficiency: Environmentally-Friendly Software Development with Kube-Green
Explore sustainable software development practices and tools like kube-green to reduce the carbon footprint of cloud-native applications. Learn strategies for creating eco-friendly code and fostering a green mentality in the industry.
Green Ambient Mesh - Sustainable Software for a Better Future
Explore sustainable software development with a focus on Istio Service Mesh's Ambient mode, optimizing resource utilization and reducing environmental impact while maintaining security and features.
WebAssembly's Impact on Carbon Footprint Reduction
Explore WebAssembly's unexpected role in reducing tech industry carbon footprint. Learn how its characteristics contribute to energy efficiency and eco-friendly software development.
Digital Farming with Liquid Prep on the Edge
Optimize water usage and maximize crop output with Liquid Prep's open-source solution, leveraging weather data, smart sensors, edge computing, and AI for intelligent farming insights.
How Open Source Collaboration Is Transforming the Power Systems Sector
Experts discuss how open source collaboration is revolutionizing the power systems sector, addressing challenges in decarbonization, renewable energy integration, and grid modernization for a sustainable future.
Toward a Carbon-Aware Cloud - Reducing Emissions in Cloud Infrastructure
Explore techniques to measure and reduce cloud infrastructure's carbon footprint, including carbon-aware solutions that dynamically adjust based on emissions. Live demo included.
Faster, Greener, and Happier: Why Quarkus Should Be Your Next Tech Stack
Discover Quarkus: a fast, efficient Java framework for cloud-native development. Learn its advantages in speed, memory usage, and sustainability, with live demos and practical insights.
Welcome to JavaScriptLandia
Explore the vibrant world of JavaScript with Jory Burson from the Linux Foundation, uncovering its ecosystem, community, and latest developments.
Building a Green Supercomputer in the Cloud
Explore green software principles and best practices for reducing carbon emissions in high-performance computing, using a case study of wind turbine simulations scaling to 400k cores and petabytes of data.
Explainable AI for Climate Science - Opening the Black Box to Reveal Planet Earth
Discover how explainable AI techniques can revolutionize climate science research, from weather prediction to understanding human impacts on Earth's systems through advanced machine learning applications.
Building Green and Low-Carbon Telecom Cloud Native Infrastructure for Sustainability
Discover how to build sustainable telecom cloud data centers through intelligent management, power optimization, and resource efficiency for reduced carbon footprint and energy savings.
Challenges in Reward Design for Reinforcement Learning-based Traffic Signal Control - An Investigation Using CO2 Emission Objective
Explore the complexities of reward design in reinforcement learning for traffic signal control, focusing on CO2 emission reduction through Deep Q-Network implementation and reward optimization strategies.
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.
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.
Building the AIverse: Standardizing Autonomous AI Agents for a Decentralized Fediverse
Explore the vision of standardized AI agents enhancing the decentralized fediverse, addressing challenges and proposing a responsible, sustainable framework for the future "AIverse".
Revolutionizing Sustainability: AI-Driven Disassembly
Explore AI-driven disassembly's role in sustainability, covering efficient methods, robotics integration, environmental impact, challenges, and future prospects.
AI Disassembly for a Sustainable Circular Economy
Explore AI-driven disassembly techniques for sustainable product lifecycles, enhancing circular economy practices through innovative robotics and efficient assembly methods.
Balancing Speed and Sustainability - DevOps Strategies for Net Zero
Discover practical strategies to reduce IT carbon emissions while maintaining DevOps efficiency, from optimizing cloud infrastructure to identifying genuine sustainability initiatives and avoiding greenwashing.
Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity - Donata Giglio
Explore innovative techniques for estimating oxygen levels in the Southern Ocean using Argo float data. Learn how temperature and salinity measurements contribute to understanding ocean biogeochemistry and climate change impacts.
Using AI to Facilitate Environmental Justice - The Need for Ethical & Responsible AI
Explores the application of AI in environmental justice, emphasizing ethical considerations and responsible practices for weather and climate research. Discusses potential impacts and challenges in this emerging field.
Representation Learning and Custom Loss Functions for Atmospheric Data - Christian Lessig
Explores representation learning and custom loss functions for atmospheric data analysis, advancing climate science through machine learning techniques to extract insights from complex Earth system observations.