MIT study finds cross-model uncertainty measurement outperforms traditional methods in spotting unreliable AI predictions ...
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
A new solvent-based technique could change how lithium is extracted from brines, potentially making the process faster, ...
FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center examined several types of flood models to highlight their strengths and weaknesses and ...
Discover the fascinating process of katana making as we blend traditional Japanese sword crafting methods with modern engineering. Watch as raw materials like Steel 65Mn, Titanium Ti TC4 Gr5, and ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
Dartmouth researchers have developed a cell phone-based tool that monitors tissue health by using a naturally occurring ...
2hon MSN
Designing better 2D electronics: Addressing anisotropic conductivity to cut contact resistance
The high-performance semiconductor devices powering smartphone displays, AI computing, EV batteries and more are increasingly ...
Researchers create a new polymer that mimics the mechanical, thermal, and electromagnetic properties of brain tissue, driving ...
New AI-assisted development approach reduces costs and accelerates delivery timelines for modern JavaScript applications ...
SimScale integrates Pamics solver to deliver meshless fluid dynamics simulation, accelerating workflows by 10-20x for engineers ...
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