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 ...
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 ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
The study’s results show that enhanced generalization with suppression, the strongest de-identification strategy, ...
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 ...
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Federated learning AI developed for hospitals and banks without personal information sharing
Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each ...
AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
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