Abstract: Bias in data collection for machine learning entails complexity in the fairness of the forecast and the efficiency of the model. This occurs especially when data is biased, gathered from ...

Artificial intelligence has moved from checking homework to attacking problems that professional mathematicians once treated as out of reach. Systems tuned for symbolic reasoning are now cracking long ...

Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...