In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...
Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...
Future applications of national importance, such as healthcare, critical infrastructure, transportation systems, and smart cities, are expected to increasingly rely on machine-learning methods, ...
Significant progress has been made in machine learning with large amounts of clean labels and static data. However, in many real-world applications, the data often changes with time and it is ...
Robust Intelligence, an AI startup that helps businesses stress test their AI models and prevent them from failing, today announced that it has raised a $30 million Series B funding round led by Tiger ...