This paper presents a systematic review of Machine Learning techniques applied to code similarity measurement, aiming to illuminate current methodologies and contribute valuable insights to the ...

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Next, we trained a stacked long short-term memory (LSTM) deep learning network on synthetic data generated using this model to learn the patterns leading to pole falling. Finally, we use transfer ...

In a very real way, Pong started the video game revolution. You wouldn’t have thought so at the time, with its simple gameplay, rudimentary controls, some very low-end sounds, and a cannibali… ...

Discover the power of machine learning to analyze and make predictions on huge data, improve decision-making and enhance automation processes.

I searched and prototyped for low-code and no-code platforms that would enable technology teams to spike and experiment with machine learning capabilities. I focused mainly on low-code application ...

WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an ...

Optimizing network communication accelerates training in large-scale machine-learning models. Inserting lightweight optimization code in high-speed network devices has enabled a KAUST-led ...

University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has been implemented in Matlab ...