InfoWorld write a glowing review of TensorFlow 2.

Of all the excellent machine learning and deep learning frameworks available, TensorFlow is the most mature, has the most citations in research papers (even excluding citations from Google employees), and has the best story about use in production. It may not be the easiest framework to learn, but it’s much less intimidating than it was in 2016. TensorFlow underlies many Google services.

As use of Machine Learning (ML) in medicine becomes more common, it has the power to transform healthcare. One particularly disruptive example is Cancer Detection and Analysis. Here’s a closer look at how ML helps in this area.

by examining biological data such as DNA methylation and RNA sequencing can then be possible to infer which genes can cause cancer and which genes can instead be able to suppress its expression.

We’re right in the thick of baseball season here in the US, which makes this video on ML particularly timely. Baseball is known for it’s sometimes ridiculous hand signals to relay messages to players in the field. Can AI decode these signals? Spoiler alert: yes.

You have to wonder how long it will be before this technology will be deployed at the major league level, if it hasn’t been already.