Latest news with #DepartmentofEngineering
Yahoo
27-03-2025
- General
- Yahoo
Road closures announced for commemoration event
A commemoration event will take place at the Vietnam War Veterans Monument on Saturday, March 29. According to a community announcement, Walnut Street will close to traffic from 11 a.m. to 2 p.m. between Antietam Street and Park Circle. West Baltimore Street will also close between South Prospect Street and South Walnut Street. Detour routes will be posted. Emergency vehicles will not be able to pass through these streets during the closures but can respond to service calls. For more information, contact the Department of Engineering at 301-739-8577 extension 125. This story was created by Janis Reeser, jreeser@ with the assistance of Artificial Intelligence (AI). Journalists were involved in every step of the information gathering, review, editing and publishing process. Learn more at or share your thoughts at with our News Automation and AI team. More road closures: Roadwork on Boonsboro Mountain Road planned for March 31 This article originally appeared on The Herald-Mail: Road Closure on S. Walnut St. for Vietnam War veterans ceremony, 3/29
Yahoo
20-03-2025
- Science
- Yahoo
AI breakthrough is ‘revolution' in weather forecasting
Cambridge scientists have made a major breakthrough in weather forecasting after developing a new AI prediction model that is tens of times better than current systems. The new model, called Aardvark Weather, replaces the supercomputers and human experts used by forecasting agencies with a single artificial intelligence model that can run on a standard desktop computer. This turns a multi-stage process that takes hours to generate a forecast into a prediction model that takes just seconds. 'Aardvark reimagines current weather prediction methods, offering the potential to make weather forecasts faster, cheaper, more flexible and more accurate than ever before,' said Richard Turner, a professor of machine learning in the Department of Engineering at the University of Cambridge. Tests of the Aardvark model revealed that it is able to outperform the United States national GFS forecasting system using just 10 per cent of the input data, leading researchers to say it could offer a 'revolution in forecasting'. The researchers noted that its simple design and ability to run on standard computers means it has the potential to be used to create bespoke forecasts for a huge range of industries – from predicting wind speeds for offshore European wind farms, to rainfall and temperature predictions for farmers in developing countries. 'Aardvark's breakthrough is not just about speed, it's about access,' said Dr Scott Hosking, Director of Science and Innovation for Environment and Sustainability at the Alan Turing Institute. 'By shifting weather prediction from supercomputers to desktop computers, we can democratise forecasting, making these powerful technologies available to developing nations and data-sparse regions around the world." Anna Allen from the University of Cambridge, who led the research, added: 'These results are just the beginning of what Aardvark can achieve. This end-to-end learning approach can be easily applied to other weather forecasting problems, for example hurricanes, wildfires, and tornadoes. 'Beyond weather, its applications extend to broader Earth system forecasting, including air quality, ocean dynamics, and sea ice prediction.' The new AI weather model was detailed in a study, titled 'End-to-end data-driven weather prediction', published in the journal Nature. Sign in to access your portfolio
Yahoo
20-03-2025
- Science
- Yahoo
AI breakthrough is ‘revolution' in weather forecasting
Cambridge scientists have made a major breakthrough in weather forecasting after developing a new AI prediction model that is tens of times better than current systems. The new model, called Aardvark Weather, replaces the supercomputers and human experts used by forecasting agencies with a single artificial intelligence model that can run on a standard desktop computer. This turns a multi-stage process that takes hours to generate a forecast into a prediction model that takes just seconds. 'Aardvark reimagines current weather prediction methods, offering the potential to make weather forecasts faster, cheaper, more flexible and more accurate than ever before,' said Richard Turner, a professor of machine learning in the Department of Engineering at the University of Cambridge. Tests of the Aardvark model revealed that it is able to outperform the United States national GFS forecasting system using just 10 per cent of the input data, leading researchers to say it could offer a 'revolution in forecasting'. The researchers noted that its simple design and ability to run on standard computers means it has the potential to be used to create bespoke forecasts for a huge range of industries – from predicting wind speeds for offshore European wind farms, to rainfall and temperature predictions for farmers in developing countries. 'Aardvark's breakthrough is not just about speed, it's about access,' said Dr Scott Hosking, Director of Science and Innovation for Environment and Sustainability at the Alan Turing Institute. 'By shifting weather prediction from supercomputers to desktop computers, we can democratise forecasting, making these powerful technologies available to developing nations and data-sparse regions around the world." Anna Allen from the University of Cambridge, who led the research, added: 'These results are just the beginning of what Aardvark can achieve. This end-to-end learning approach can be easily applied to other weather forecasting problems, for example hurricanes, wildfires, and tornadoes. 'Beyond weather, its applications extend to broader Earth system forecasting, including air quality, ocean dynamics, and sea ice prediction.' The new AI weather model was detailed in a study, titled 'End-to-end data-driven weather prediction', published in the journal Nature. Sign in to access your portfolio
