Latest Articles for Energy Efficiency

A new directory streamlines access to essential building performance datasets.

Learn about new methods for efficient memory resetting in technology.

Discover how to improve efficiency in machine learning and data processing.

Neuromorphic computing offers new ways to process data inspired by the human brain.

A look into efficient energy management through smart thermal systems.

LaOsAs shows promise for energy-efficient technologies through its superconducting traits.

This article discusses multicast polling to enhance IoT network efficiency and energy use.

Research reveals factors that may improve efficiency of ZnO-based solar cells.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

A new consensus method improves blockchain energy use and data quality.

Advancements in DNNs aim to improve IoT device efficiency.

A new method improves water systems using solar energy for cost savings.

New method enables MAVs to soar efficiently without prior wind knowledge.

Examining the impact of heat pumps on Germany's electricity demand by 2030.

A novel method to predict energy consumption in BLE devices for better efficiency.

Recent improvements show promise for higher efficiency in solar energy technology.

Large language models improve HVAC system management using fewer resources.

A look at how Minimax Optimization enhances Spiking Neural Networks efficiency.

Yak simplifies the design of asynchronous circuits with user-friendly features and open-source collaboration.

New designs improve efficiency and energy use in neuromorphic processors.

Perovskites show promise for improving solar cell efficiency through unique charge carrier dynamics.

Exploring the benefits and challenges of solar energy systems for local power.

Researchers explore new approaches to create efficient ferroelectric devices with layered materials.

Explore the fundamentals and applications of heat capacity in various systems.

RMP-Loss addresses quantization error in Spiking Neural Networks, boosting accuracy and efficiency.

New findings reveal enhanced charge-to-spin conversion using PtSe and NiFe materials.

Researchers improve efficiency of tiny heat engines using Brownian motion.

New techniques aim to reduce drag and improve fuel efficiency in vehicles.

Introducing reversible SNN nodes for efficient training and memory use.

Study reveals how ion bombardment alters magnetic behavior in manganese arsenide.

New methods enhance energy efficiency in semi-GF NOMA systems.

A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

A new metamaterial neural network design improves efficiency and speed in image processing.

A new method improves the calculation of solar energy hosting capacity.

A framework to accurately measure energy use in deep learning systems.

Investigating how Yttrium Carbide's structure influences its superconducting properties.

A new method enhances check-pointing efficiency in devices using ambient energy.

Recent studies indicate Cu-substituted apatite may conduct electricity without resistance at room temperature.