A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep learning to transform wastewater treatment processes.
Deep learning’s most valuable capability lies in processing vast datasets in near real-time, advancing advertiser data ...
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 ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
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.
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...
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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 ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...
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, ...
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