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Related Concept Videos

Global Climate Change01:50

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
Ampere-Maxwell's Law: Problem-Solving01:17

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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Machines: Problem Solving II01:30

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Population Growth00:57

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Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
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Updated: Jul 3, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Computing for the future of the planet.

Andy Hopper1, Andrew Rice

  • 1Computer Laboratory, University of Cambridge, 15 J J Thomson Avenue, Cambridge, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 2, 2008
PubMed
Summary
This summary is machine-generated.

This study proposes a digital framework to optimize planetary resource use through smart data centers and global sensing. It aims to reduce ecological footprints by integrating renewable energy and informing personal energy consumption decisions.

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Area of Science:

  • Computer Science
  • Environmental Science
  • Sustainable Technology

Background:

  • Digital technology is integral to modern life, impacting society and the environment.
  • There is a growing need to align technological advancements with planetary sustainability goals.

Purpose of the Study:

  • To present a framework for computing that addresses global environmental challenges.
  • To outline a vision for optimizing digital infrastructure and global sensing for sustainability.

Main Methods:

  • Proposing a framework for optimal digital infrastructure and global sensing.
  • Describing data center strategies for dynamic power scaling and renewable energy integration.
  • Exploring the use of global sensing for optimizing daily activities and personal energy management.

Main Results:

  • A conceptual framework for sustainable computing is presented.
  • Data centers can act as 'virtual batteries' by utilizing spare renewable energy capacity.
  • Global sensing offers potential for optimizing societal activities and reducing ecological impact.

Conclusions:

  • Integrating digital technology with environmental goals is crucial for a sustainable future.
  • Optimized digital infrastructure and sensing can lead to significant reductions in ecological footprints.
  • Personal energy meters can empower individuals to make more sustainable choices.