
Explore utilisation clamping in CFS for Android systems, discussing fairness, latency, and energy efficiency to align expectations and implementation with upstream Linux.

Explore deploying high-performance, energy-efficient AI foundation models on Kubernetes. Learn containerization, deployment, energy measurement, consumption reduction, and performance-energy tradeoffs.

Explore Ubuntu's power management architecture, focusing on key components, energy-saving strategies, and system optimization techniques for improved battery life and performance.

Exploring three generations of Tensor Processing Units (TPUs) for deep neural networks, highlighting performance improvements and the rise of domain-specific architectures in the post-Moore's Law era.

Exploring AI-driven earth observation systems for real-time biodiversity monitoring and conservation, addressing challenges in ecological data analysis and promoting collaborative, interdisciplinary approaches.

Explore the Open19 Project's open-source hardware initiative, covering platform components, benefits, cooling innovations, and sustainability efforts in data center infrastructure.

Explore advanced techniques for optimizing non-CPU device power management using DEVFREQ, enhancing energy efficiency in modern computing systems.

Explore AI's transformative impact on humanity with Dr. Srinivas Kishan, a double PhD holder in AI. Discover how this technology can empower us to tackle complex problems and redefine possibilities.

Learn to create your own smart home system using free, open-source software. Explore practical demonstrations and step-by-step guidance for implementing DIY solutions.

Explore energy-efficient techniques for cracking bcrypt hashes, focusing on optimizing hardware and software for improved performance and reduced power consumption.

Explore ethical challenges of generative music AI: copyright issues, musician displacement, energy use. Learn golden rules, legal implications, and potential future regulations in this thought-provoking discussion.

Explore the future of AI across diverse fields, its potential environmental impact, and the importance of developing sustainable, inclusive AI models for the benefit of all.

Explore techniques to shrink deep learning models, reduce energy consumption, and run advanced architectures on commodity hardware. Gain insights into model efficiency and accessibility.

Explore advanced Kubernetes label strategies for effective cluster management. Learn to standardize and enforce labeling practices using AI, improving ops, finops, sustainability, and security.

Explore strategies for reducing carbon footprints in Kubernetes clusters, enhancing regulatory compliance, and making sustainable architectural decisions for a greener future in cloud computing.

Explore how ethical AI can address sustainability challenges and drive positive change across diverse social and cultural contexts for a better world.

Exploring AI's transformative potential in achieving UN Sustainable Development Goals, with a focus on health and wellness, and a call to action for leveraging AI across all 17 SDGs.

Explore green software architecture principles, practices, and surprising insights to design environmentally-friendly systems. Learn to integrate sustainability into daily coding for reduced energy consumption and environmental impact.

Explore the SCER initiative for measuring and improving carbon efficiency of Large Language Models, promoting sustainable AI development and renewable energy adoption.

Explore Kubernetes governance, community structure, and diverse contribution opportunities. Learn about seeking help, avoiding pitfalls, and engaging in various roles beyond coding in the Kubernetes ecosystem.

Explore groundbreaking AI applications in energy management, battery development, and materials manufacturing through expert talks and Q&A from the Alan Turing Institute's AI UK 22 showcase.