Latest Articles for Energy Consumption

New systems enhance eye tracking with lower power and faster responses.

Strategies to reduce energy use in Large Language Models for a more sustainable future.

Research highlights fast switching and low energy use of VO memristors.

Examining tools to detect data drift in machine learning applications.

Analyzing the impact of DDoS and F-AP attacks on smart healthcare devices.

New method improves device selection efficiency in federated learning.

Research highlights the evolving role of software engineering in the upcoming 6G technology.

Combining terrestrial and non-terrestrial networks to enhance connectivity and reduce energy use.

A comprehensive framework for analyzing XR performance in edge-assisted wireless networks.

Key factors influencing CO2 emissions across developed nations over 25 years.

This study proposes a new method to save energy in mmWave networks.

A new method tackles wireless errors in federated learning for IoT devices.

Integrating SysCaps into energy modeling simplifies decision-making and improves predictions.

Exploring how AI improves video streaming while promoting energy efficiency.

Improving HVAC efficiency and comfort using federated learning methods.

Learn how data centers measure and report their carbon emissions effectively.

A new method improves energy use and performance in DNN execution.

Explore methods for compressing images while saving energy without sacrificing quality.

A new control method improves drone teamwork and efficiency.

A method to manage systems effectively with limited control inputs.

A new method to schedule charging for battery-electric buses improves reliability and reduces costs.

EON-1 chip offers efficient real-time AI learning for battery-powered devices.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new method reduces energy use while improving learning outcomes in decentralized systems.

Examining how drones can improve communication networks in limited energy environments.

A study linking brain organization to energy consumption patterns.

A framework to track and analyze energy consumption in large language models.

Research highlights strategies for reducing energy use in large language models.

A method to minimize energy use while maintaining model performance in machine learning.

Learn how software engineering can lead to energy-efficient practices in technology.

Examining the efficiency and energy use of Large Language Models in AI applications.

New neural networks using memristors enhance efficiency and adaptability.

Examining the societal and environmental effects of AI foundation models.

A look into the Field-Programmable Pixel Convolutional Array technology and its impact.

Improving drone flight paths enhances communication during disasters.

Using smart meter data and weather info for improved energy monitoring.

FaasMeter offers solutions for monitoring energy use in Functions as a Service.

Examining how energy affects gene control and information processing in biological systems.

This paper details a plan for AI integration in satellite technology.