Computer Sciences
One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math—college-level calculus—that is needed to train each new model. Neural networks are trained ...
Feb 7, 2023
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55
Energy & Green Tech
Climate change can alter extreme weather events, and these events have the potential to strain, disrupt or damage the nation's grid.
Jan 31, 2023
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Machine learning & AI
Picture a tall stately grandfather clock, its long pendulum swinging back and forth, over and again, keeping rhythm with the time. Scientists can describe that motion with an equation, or dynamical model, and though there ...
Dec 8, 2022
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596
Automotive
The new Toyota gas-electric Prius hybrid not only comes with more power, acceleration and driving range. It's also more stylish, scrapping the rather stodgy angular body for a sleekly futuristic look.
Nov 16, 2022
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Engineering
Scientists estimate that more than 95 percent of Earth's oceans have never been observed, which means we have seen less of our planet's ocean than we have the far side of the moon or the surface of Mars.
Sep 26, 2022
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480
Energy & Green Tech
In 2022, a quick internet search for Lake Mead or Lake Powell returns startling images of drying lake beds and parched land.
Sep 22, 2022
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Energy & Green Tech
Wind energy contributes significantly to the energy sector's sustainable, low-CO2 transformation. However, the efficiency of wind turbines depends on available wind resources and the technical characteristics of the turbines. ...
Jun 21, 2022
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75
Energy & Green Tech
Honda is investing 5 trillion yen ($40 billion) over the next decade in research, especially to realize a major shift to ecological electric vehicles, the Japanese automaker said Tuesday.
Apr 12, 2022
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Computer Sciences
Deep learning models have proved to be very effective for analyzing large amounts of data and accurately predicting future events. This makes them advantageous for a wide range of applications, including weather forecasting.
Software
When Phoenix temperatures topped 120 F in June 2017, American Airlines canceled dozens of flights at a local airport because the airplanes could not take off safely in the extreme heat. Scenarios like this are likely to become ...
Sep 9, 2021
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Climate models use quantitative methods to simulate the interactions of the atmosphere, oceans, land surface, and ice. They are used for a variety of purposes from study of the dynamics of the climate system to projections of future climate.
All climate models take account of incoming energy as short wave electromagnetic radiation (which in this context means visible and ultraviolet, not to be confused with shortwave) to the earth as well as outgoing energy as long wave (infrared) electromagnetic radiation from the earth. Any imbalance results in a change in the average temperature of the earth.
The most talked-about models of recent years have been those relating temperature to emissions of carbon dioxide (see greenhouse gas). These models project an upward trend in the surface temperature record, as well as a more rapid increase in temperature at higher altitudes.
Models can range from relatively simple to quite complex:
This is not a full list; for example "box models" can be written to treat flows across and within ocean basins. Furthermore, other types of modelling can be interlinked, such as land use, allowing researchers to predict the interaction between climate and ecosystems.
This text uses material from Wikipedia, licensed under CC BY-SA
