The use of Artificial Intelligence (AI) in healthcare holds a lot of promise. It’s already making big improvements in diagnosis, decision support, making work more efficient, and managing health ...
Bias in algorithms have always been a key issue in the growing field of artificial intelligence. For instance, researchers found in an experiment that flawed AI in robots has the tendency to make ...
Lei Yang, Assistant Professor, Information Sciences and Technology, received funding for the project: "Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning." ...
If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the ...
Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...
Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Hyderabad: The Machine Learning Lab (MLL) at the International Institute of Information Technology Hyderabad (IIITH) is now spearheading advancements in federated learning (FL) and offering innovative ...
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