Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

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 Minneapolis City Council on Thursday approved an ordinance that would prohibit landlords from employing algorithms to set rent and vacancy rates. The proposed ordinance would specifically ban the ...