Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Set similarity joins represent a critical operation in modern data management by efficiently identifying pairs of data objects—typically sets—that exhibit a similarity above a defined threshold. Such ...
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...
The research unit will be tasked with auditing the AI-backed algorithms used by large technology firms such as Google and Meta. The European Commission has launched a new research unit that will ...
When it comes to our health, it’s personal. That is why it is so important that the physicians we trust make decisions about our care—not machines. And yet, in many situations, artificial intelligence ...