Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...