Latest Articles for Energy Efficiency

A look into Kirchhoff's law and its impact on energy interactions.

P4Green aims to cut energy use in data centers with programmable technology.

A new compact design for programmable linear optical processors enhances performance and reduces energy use.

Exploring thermal radiation, emissivity, and their role in various materials and technologies.

Research highlights promising thermoelectric materials for energy efficiency.

Adapting wireless device design to meet 6G challenges.

ReDy optimizes deep learning efficiency through dynamic quantization, reducing energy use.

New research reveals potential of barocaloric effects in efficient cooling technologies.

Researchers tackle DRAM refresh issues to improve memory efficiency.

Exploring the unique properties and applications of CuInP S in technology.

A study on advanced techniques for monitoring household energy use effectively.

Exploring methods for energy-efficient transformations of qubit states.

Using machine learning to predict failures in high-performance computing jobs.

EfficientBioAI helps researchers optimize AI models for faster, energy-efficient bioimaging.

Research reveals atomic-level details of promising red phosphor SrLiAlN:Eu for improved lighting.

New methods aim to cut energy consumption during video streaming.

A new method focuses on reducing energy costs in multi-processor scheduling.

Exploring the connection between thermodynamics and quantum information for efficient technology.

A new system mimics brain functions for efficient learning and processing.

Optimizing vehicle control to balance speed and energy use effectively.

Research focuses on new praseodymium-based materials using machine learning and DFT.

A look into pipelining's benefits and challenges in molecular mechanical circuits.

Research offers key insights into heat treatments for superconducting radio-frequency cavities.

New method reveals overlooked energy challenges in MAGIC design for memristors.

New magnetic reservoir computing method uses voltage for energy-efficient data processing.

A novel framework combining SNNs and convolutional networks for efficient learning.

New framework balances deep learning efficiency and carbon emissions.

Research shows promise in disordered half-Heusler alloys for thermoelectric energy conversion.

A look into how electric currents behave in magnetic materials.

Research reveals how quantum engines can enhance efficiency and power output.

New research on ErB offers insights into efficient cooling materials.

Exploring network slicing and energy efficiency in next-generation telecom networks.

Learn how Dynamic Net Metering supports energy communities in saving costs.

Research at ESTHER improves combustion for future space missions.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A comprehensive benchmarking tool to assess AI model efficiency in real-world scenarios.

Examining non-Fourier heat conduction models for complex materials and energy efficiency.

A new MIV-transistor design enhances performance in 3D integrated circuits.

New designs improve efficiency of magnetic-core solenoid inductors in power converters.

Approximate Computing balances quality and efficiency in today's tech landscape.