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." ...

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 ...

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 ...

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 ...

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...