Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
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New AI model accurately grades messy handwritten math answers and explains student errors
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...
Mineral exploration and geochemical analysis constitute interlinked disciplines that underpin our ability to detect, delineate and evaluate mineral resources. Comprehensive geochemical surveys provide ...
Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
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