A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...
Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
From cells that migrate to tissues that heal, nature abounds with systems capable of sensing and adapting to their ...
High over the island of Sicily, Mount Etna smolders as Europe’s most active volcano. Underneath its rough slopes, a network ...
The federal government has been—and must remain—a critical partner in foundational technological innovation and research ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
Abstract: Deep learning-based change detection methods are sensitive to illumination and registration errors and require a massive amount of samples during training, which is challenging to acquire in ...
After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an approach that makes learning more personal, emotional, and impactful Antonia ...
Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...
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