Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...
What’s next for AI: Researchers at Nvidia, Apple, Google and Stanford envision the next leap forward
Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...
The study’s results show that enhanced generalization with suppression, the strongest de-identification strategy, ...
Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
Algorithms developed by Professor Brokoslaw Laschowski (MIE) and his lab are being used to decode the brain and interface ...
Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also requires a human expert's reasoning and intuition, which can't be ...
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