Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The massive datasets that power machine learning algorithms and systems are complex, noisy, and vulnerable to various kinds of errors, contamination, and adversarial corruptions. As data science and ...

Please provide your email address to receive an email when new articles are posted on . The model demonstrated a high degree of predictability for postpartum depression. Of those predicted to have a ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cars that move independently through traffic; software that recognizes malignant changes in the lungs on X-ray images; chat bots that pass demanding entrance exams at US universities. In recent years, ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...