A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Deep learning’s most valuable capability lies in processing vast datasets in near real-time, advancing advertiser data ...
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NVIDIA's $500 Million Bet on Wayve: End-to-End Autonomous Driving Models and the Future of Mobility
NVIDIA recently announced a $500 million investment in the UK-based autonomous driving startup Wayve (approximately 3.6 billion RMB), marking another strategic move by this chip giant in the field of ...
WEST LAFAYETTE, Ind. — Researchers in Purdue University’s College of Engineering have developed a patent-pending optical counterfeit detection method for chips used in semiconductor devices. The ...
El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts between its warm and cold phases profoundly impact global extreme weather, ...
Abstract: The electron beam inspection methodology for voltage contrast (VC) defects has been widely adopted in the early stages of sub-10nm logic and memory technology development, as well as in new ...
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