I've got news for you, everybody with a modern cpu uses this, which use a perceptron for branch prediction.
Perceptron? It's only linear prediction though
I didn't know that! Do you have any references that go into more depth here? I'd be curious how the architect and train it.
At this point AI basically means "we didn't know how to solve the problem so we just threw a black box at it".
Other news, is that HEP has used FPGAs for L0 triggers (amongst others) for decades. These always had a diverse selection criteria in their algorithms, event filters, suppression, weights etc. And just mentioning, that some custom radhard simple readout silicon from the likes of STM isn't any news either.
And for historians: Delphi people (amongst others) had papers on Higgs selection using (A)NN from LEP data (overfit :) , obviously without the 5 sigma. It was an argument for LHC.
Dear downvoters/shadowbanners: do your homework.
Indeed, some examples:
https://news.ycombinator.com/item?id=12340348 Neural network spotted deep inside Samsung's Galaxy S7 silicon brain (2016)
https://ieeexplore.ieee.org/document/831066 Towards a high performance neural branch predictor (1999)