When a model is trained, data scientists are essentially referencing a single snapshot in time — the situation as it stands. But those conditions inevitably drift over time. The consequences of ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

T he algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train.Much of that data comes from the open web which, unfortunately, makes the AIs ...

ESCWA, PwC Middle East, and Microsoft collaborate with the Ministry for this initiative. The Ministry of Labour (MoL), in partnership with United Nations Economic and Social Commission for Western ...