A person presenting a slide on Mining Energy Intensity and Hashrate to an audience in a conference room setting.

Top experts and industry professionals discussed the future of blockchain technology and its impact on the power grid.

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Designing more efficient and reliable learning algorithms grounded by information-theoretic tools may help improve machine learning, according to research from the Department of Electrical and Computer Engineering.

Room with wedge-shaped foam lining the walls.

The Intelligent Electromagnetic Sensor Laboratories in the electrical and computer engineering department are available for faculty and students to research high-frequency electronics.

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Artificial intelligence can aid us in growing plants without the need for soil, according to new doctoral research from the electrical and computer engineering department.

An image of a glowing futuristic semiconductor and digital data flowing.

Texas A&M Engineering and the Texas A&M Semiconductor Institute to launch multiple programs and initiatives to bolster the semiconductor industry.

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A total solar eclipse will make parts of Texas as dark as dusk and drop the solar generation to near zero, but other power sources will keep the grid stable.

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Students in the Department of Electrical and Computer Engineering Department received fellowships from Samsung Austin Semiconductor.

Illustration of a city surrounded by trees and houses, powered by wind turbines and solar panels. The letters AI are above the city in front of an illustrated brain.

Dr. Xin Chen’s article on the intersection of smart grids and reinforcement learning was selected as one of the top five outstanding papers published in IEEE Transactions on Smart Grid in the past three years.

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Three electrical engineers won first place at the Institute of Electrical and Electronics Engineers Rising Stars Conference for their game Pixel Mouse.

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Dr. Le Xie was invited to advise the White House Office of Science and Technology Policy on the responsible development of artificial intelligence in clean energy transition.