
Leverage Ethos-U65 microNPU and Cortex-A55 CPUs on NXP's i.MX 93 for energy-efficient ML vision apps. Explore NXP's eIQ ML environment and Arcturus solutions for smart occupancy sensing and edge vision applications.

Discover strategies for sustainable AI development, focusing on energy-efficient hardware, optimized algorithms, and renewable energy in data centers.

Explore integrating Kepler and Open Horizon for energy-efficient cloud-edge computing across diverse hardware, including RISC-V. Demonstration of use case optimizing distributed systems for sustainability.

Explore DOE's project integrating cloud tech into the electric grid, enhancing resilience and supporting decarbonization through consequence-driven approaches.

Explore sustainable LLM inference using cloud-native tech. Learn about energy monitoring, AI accelerator optimization, and balancing efficiency with environmental impact. Includes live demo of vLLM in a Kubernetes cluster.

Explore AI's environmental impact, efficiency optimization, and sustainable scaling strategies. Gain insights into the computing lifecycle and future research directions for responsible AI development.

Explore scalable solutions in technology, finance, and policy to decarbonize the industrial sector, which accounts for 30% of U.S. emissions, focusing on steel, cement, chemicals, and energy.

Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in AI applications.

Discover how to design environmentally conscious storage architectures, optimize cloud storage efficiency, and measure code's carbon footprint through practical tools and implementation strategies.

Explore AI advancements in earth, energy, and environmental solutions for a sustainable future through expert insights and innovative approaches.

Explore geometric and information-theoretic aspects of quantum thermodynamics, focusing on state transformations, constraints, and practical applications of quantum catalysis in non-classical light generation.

Explore advanced mathematical techniques for analyzing Euler equations in fluid dynamics, focusing on differential inclusions and the Onsager conjecture.

Learn advanced shader techniques for game development, including healthbars, SDFs, lighting models, and PBR, with practical assignments and in-depth explanations of key concepts.

Discover how reinforcement learning optimizes hospital energy efficiency through real-world insights from 39 Indian healthcare facilities, exploring practical implementation strategies and outcomes.

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods and performance enhancement.

Dive into modern hardware architecture optimization for Kubernetes workloads, exploring CPU internals, memory types, and resource allocation strategies for enhanced performance and energy efficiency.

Discover how to achieve 50%+ power savings in edge data centers using K8s-compatible Workload Allocation Optimizer (WAO), featuring real-world implementation across 200+ servers and sustainable computing practices.

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation and performance tuning.

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods and performance enhancement.

Discover how open-source tools can revolutionize energy management through real-time monitoring, data analysis, and building automation - enabling cost-effective sustainability solutions and improved energy efficiency.