Scientists Develop New AI System to Predict Weather Changes

Trance ComfortLink II thermostat is displayed in Las Vegas in this 2011 file photo. Steve Marcus/Reuters/File
Trance ComfortLink II thermostat is displayed in Las Vegas in this 2011 file photo. Steve Marcus/Reuters/File
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Scientists Develop New AI System to Predict Weather Changes

Trance ComfortLink II thermostat is displayed in Las Vegas in this 2011 file photo. Steve Marcus/Reuters/File
Trance ComfortLink II thermostat is displayed in Las Vegas in this 2011 file photo. Steve Marcus/Reuters/File

Aiming at preventing energy waste, a team of US researchers has developed a new AI system that can predict the accuracy of weather forecasts and use this information to better control heating systems inside houses.

The new system includes a mathematical model that considers building characteristics such as the size and shape of rooms, the construction materials, and the position of windows, and takes them all into consideration when setting up the interior heating system so it can meet the temperatures changes.

Fengqi You, a professor in energy systems engineering at Cornell University, says the smart control system can reduce energy usage by up to 10%, according to a case study his team has conducted on a nearly 90-year-old building on Cornell's campus, the German News Agency reported.

The Tech Xplore website cited You saying: "If the building itself could be 'smart' enough to know the weather conditions, it could make better adjustments to automatically control its heating and cooling systems to save energy and make occupants more comfortable."

"For instance, if I know the sun is going to come up very soon, it's going to be warm, then you probably don't need to heat the house so much. If I know a storm is coming tonight, then I try to heat up a little bit so I can maintain a comfortable level. We try to make the energy system smart, so it can predict a little bit of the future and make the optimal decisions," You added.

The researchers fed the new system with years' worth of data on forecasts and actual weather conditions to train it on making accurate weather predictions later. The model can detect uncertainty not just in temperature but many other factors including precipitation and sunlight.

You sees that combining the machine learning algorithms and the mathematical programming methods creates a system that can control home heating systems and irrigation in agriculture, and other facilities in urban and rural communities, whether in closed or opened places.

"We don't have a perfect way to forecast the weather, so the best thing we can do is combine AI and mechanistic modeling together," You concluded.



KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
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KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)

Saudi Arabia’s King Abdulaziz City for Science and Technology (KACST) announced on Thursday its successful design and fabrication of 25 advanced electronic chips, developed by Saudi talents in its cleanroom laboratories for purposes of training, research, and development.

The achievement is part of KACST’s ongoing efforts to support and enable the semiconductor ecosystem in the Kingdom.

These chips are distinguished by their versatility and can be used in a range of applications, including electronics, wireless and high-frequency communications, integrated circuits, energy-efficient lighting, micro-sensor systems, as well as industrial and research applications in measurement and testing.

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. This effort was conducted under the initiatives of the Saudi Semiconductors Program (SSP), which aims to build national expertise in this critical field.

The chips can be used in a range of applications. (SPA)

This milestone is part of a series of strategic initiatives led by KACST to support the semiconductor sector in the Kingdom, including the Saudi Semiconductors Program to boost research and development and qualify human talent and the "Ignition" semiconductor incubator program to support startups and entrepreneurs.

Through these initiatives, KACST underscored its commitment to the ambitious goals of Saudi Vision 2030 by localizing strategic technologies, empowering national talent, and achieving technological self-sufficiency in advanced domains.