Not only feasibility, but having a GC enabled programming language with AOT compilation to native code (until Java 10, you will need to buy such compilers as the FOSS aren't as good).

After all the OP mentioned that only C and C++ were valid alternatives, hence why it is so important to implement such tools in other safer languages.

If people don't do it, as usual there will be a myth that only those languages are able to produce such type of applications.

Similar to the myth that C was the first systems programming language, when many of us were using something else before UNIX got widespread in the industry.

This is starting to seem fairly specific -- machine learning with memory safe languages that have AOT compilation to native code. It's not even, memory-safe languages that are performant -- because Java would totally match that requirement.

What I'm suggesting here is that there is nothing really remarkable about it, from either a research or implementation perspective, given the achievements of the Java community in recent years.