In December, Springer published an insightful article about the value of deep learning for VPNs. The article "Deep learning-based real-time VPN encrypted traffic identification methods" delves into the use of machine learning to improve encryption models. However, there are other ways that machine learning is improving the quality of VPN technology. It is also used for testing more effectively. The primary function of a VPN is to provide us with safety and security while online, but how do we know that it is working correctly?

The world of computing has followed Moore's Law for generations. The "law," which was developed by researcher Gordon Moore in the 1970s, says that the number of transistors that can be squeezed into a set amount of space will double every two years. It's been a reliable gauge ever since. Moore's Law may be nearing its end, however. Tom Simonite at the MIT Technology Review writes that Intel has declared in a regulatory filing what insiders have suspected: The company is slowing the release of new chips in a manner that doesn't keep pace with the law.