Machine learning & AI
Researchers led by Prof. Wang Rujing and Wang Liusan from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have established a learnable full-frequency transformer dual generative adversarial network ...
Jun 26, 2024
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Engineering
Researchers from the Skoltech Petroleum Center have presented new results that will improve the predictions of stress redistribution used in strength models of composite materials, which will result in fewer tests and costs ...
Jun 24, 2024
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Engineering
The electronics industry faces a new challenge. While transistors in computer chips are shrinking, the heat they produce is only increasing. Overheating can cause reduced circuit performance, increased leakage power or even ...
Jun 12, 2024
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Robotics
Engineers at the University of Maryland (UMD) have developed a model that combines machine learning and collaborative robotics to overcome challenges in the design of materials used in wearable green tech.
Jun 4, 2024
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Engineering
Some parts of the world have been so successful in making inexpensive renewable electricity that we occasionally have too much of it. One possible use for that low-cost energy: Converting carbon dioxide into fuel and other ...
Jun 3, 2024
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Engineering
Modern life relies on electricity and electrical devices, from cars and buses to phones and laptops, to the electrical systems in homes. Behind many of these devices is a type of energy storage device, the supercapacitor. ...
May 29, 2024
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Engineering
Fuel Cell Vehicles (FCVs) are typically powered by polymer electrolyte membrane fuel cells (PEMFCs), which convert the chemical energy of hydrogen and oxygen into electricity and produce water in the cathode.
Mar 19, 2024
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Energy & Green Tech
A research team led by Prof. Chen Wei from the University of Science and Technology of China (USTC) of the Chinese Academy of Science (CAS) revealed for the first time the important role of halogen-mediated solvation structure ...
Mar 15, 2024
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Hi Tech & Innovation
The result of a new study on the intrinsic dynamics of spatio-temporal processes conducted at the MOX laboratory of the Politecnico di Milano (Department of Mathematics) by Francesco Regazzoni, Stefano Pagani, Matteo Salvador ...
Mar 6, 2024
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Engineering
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades—before turbines ...
Feb 22, 2024
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