Transparency of data and AI algorithms is also a major concern. Transparency is relevant at multiple levels. First, in the case of supervised learning, , the accuracy of predictions relies heavily on the accuracy of...

In the final installment in this series about federated AI, we wrap up the discussion around the potential benefits of federated AI in developing good models in healthcare. Remember that this extensive discussion of federated...

We have been examining the topic of data and its importance to developing and running AI algorithms now for several weeks. When it comes to AI, the topic of data can not be discussed enough!...

In our last discussion, we tackled the issue of data as the bloodline for developing AI algorithms for various applications in healthcare. We also discussed how difficult it is to get that data and make...

Data to AI is what oil has been to the world economy for the last century. Unless you have plenty of it, you will not be able to get far! It's not enough to get...