While many remain unclear on the definition of this transformational technology, large numbers are already experiencing the benefits of machine learning in everyday applications.
Since measurement always involves some interaction between the object and the observer or observing instrument, there is always an exchange of energy, which, although in everyday applications is negligible, can become considerable in some types of measurement and thereby limit accuracy.
In everyday applications, the TDA tool-kit consists essentially of two main techniques: topological simplification (via the Mapper algorithm [28, 29]), and persistent homology [30, 31].
With all the power in today's graphics cards, it makes sense that nVidia is looking to harness that juice in everyday applications – you can't be playing games ALL the time.
A lot of that covers the usual promises made on behalf of AR, but being able to do it without markers, in a variety of lighting conditions, with very low latency and high accuracy — that's something plenty of companies could use today in everyday applications like maintenance and training.
