Samsung announced a while back that they used a "Neural Net based predictor" for their CPU branch prediction.
Shortly after that an Intel person claimed it's no big deal because they have also been using a perceptron for some time.
But to me this seemed a rather big discovery! Previously I would have assumed that branch prediction is a super complex algorithm.
Learning that branch prediction is a basic perceptron reduces Intel's perceived strength.
So companies are openly and covertly using machine learning everywhere.
Machine learning is also a perfect fit for companies because there is no moral filter on a neural network and no chance of whistle blowing.
Volkswagen truly missed a golden opportunity here with their diesel scandal.
They should have just trained a neural network on passing the diesel criteria and then have perfect plausible deniability: "the neural network disabled the pollution filters all by itself!"
Shortly after that an Intel person claimed it's no big deal because they have also been using a perceptron for some time.
But to me this seemed a rather big discovery! Previously I would have assumed that branch prediction is a super complex algorithm.
Learning that branch prediction is a basic perceptron reduces Intel's perceived strength.
So companies are openly and covertly using machine learning everywhere.
Machine learning is also a perfect fit for companies because there is no moral filter on a neural network and no chance of whistle blowing.
Volkswagen truly missed a golden opportunity here with their diesel scandal.
They should have just trained a neural network on passing the diesel criteria and then have perfect plausible deniability: "the neural network disabled the pollution filters all by itself!"