This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...

A neural network? In my Game Boy? It's more likely than you think. This is a demonstration of neural network (NN) inference on a Game Boy. First, a small NN is trained on a modified version of the ...

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

Abstract: In this paper, a new quantitative stock trading model is proposed and an optimization problem is formulated for investment returns. By solving this optimization problem using the Neider-Mead ...

The robust trading volume suggests robust investor and trader optimism in the altcoin. CoinCodex predicts 247% ROI from Pi Coin in March. The altcoin traded at around $2.24 at the time of writing. Pi ...

Abstract: Now, with the dominance of electronic stock trading, it is possible to find and make profit from the price difference in real time. Machine learning has been applied in stock trading for ...