Latest Articles for Energy Efficiency

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

A new neural network design uses skyrmions to enhance data processing efficiency.

This study explores how predicting lane changes can enhance energy savings for CAVs.

Research on MgB₂C and NaBC reveals potential for ambient-pressure superconductors.

Research on bilayer ReRAM could reshape energy-efficient computing.

Exploring the role of fluctuations and entropy in small thermodynamic systems.

Research aims to improve electrical steel performance and reduce brittleness.

A simple system to track energy use in AI data centers.

New methods enhance uncertainty estimates in GNNs for modeling material energies.

A new design aims to ensure fair access to energy for all consumers.

Exploring the role of spiking neural networks in vertical federated learning for data privacy.

A new method estimates power use and heat in CNN accelerators for better performance.

This research examines how triangularity influences turbulence in tokamak plasma.

A framework for managing power while maintaining performance in serverless applications.

Research on ultrathin BaTiO3 films shows promise for future electronic devices.

Research reveals how thermal treatments affect YIG's Gilbert damping and potential applications in spintronics.

SpikeYOLO enhances SNNs for improved object detection efficiency and accuracy.

Exploring neuromorphic computing's role in efficient data processing and machine learning.

Combining AI and experimental data to improve turbulence measurements and predictions.

This article discusses enhancing thermal point clouds using detailed building models.

Blink offers a faster way to design power monitoring systems, improving efficiency.

A framework enhances energy management in large language models while maintaining performance.

Researchers develop stable domain-wall structures using ferroelectric materials for advanced electronics.

Techniques for reducing energy use in powerful computing systems without sacrificing performance.

Triangular Input Movement enhances efficiency in convolutional neural networks.

Improving fault detection and diagnostics in nuclear reactors using deep learning techniques.

Research on holmium compounds reveals potential for energy-efficient cooling applications.

Research shows pipe rotation can significantly lower drag in fluid transport.

A new approach enhances energy efficiency and processing speed in CNNs.

The throttLL'eM framework cuts energy use while ensuring quick responses.

Examining particle movement in turbulent edge plasma within Tokamaks.

Study reveals efficient techniques for capturing noble gases from industrial processes.

Exploring the benefits of cryogenic and superconducting computing for improved speed and efficiency.

A novel algorithm on Loihi 2 shows promise for efficient QUBO problem-solving.

New synapse model enhances energy efficiency in spiking neural networks.

Understanding exciton dissociation can improve organic solar cell efficiency.

Neuromorphic computing mimics brain function for efficient processing in modern devices.

Water treatment plants must evolve to tackle growing demands and environmental impacts.

Learn about new methods for managing home energy efficiently with machine learning.

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