Where the training of machine learning models is concerned, there’s always a risk of overfitting — or corresponding too closely — to a particular set of data. In point of fact, it’s not infeasible that popular machine learning benchmarks like the Arcade Learning Environment encourage overfitting, in that they have a low emphasis on generalization. That’s why OpenAI — the San…

Analyzing chest X-ray images with machine learning algorithms is easier said than done. That’s because typically, the clinical labels required to train those algorithms are obtained with rule-based natural language processing or human annotation, both of which tend to introduce inconsistencies and errors. Additionally, it’s challenging to assemble data sets that represent an adequately diverse…

Microsoft’s Seeing AI has been helpful for describing objects and text to the blind, but there’s been a key problem: it has only been available in English, making it a non-starter if you don’t speak the language. That won’t be a problem for some people from now on. Microsoft has updated the iOS-only app with support for Dutch, French, German, Japanese and Spanish, letting…