Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

The games industry has long been a frontier of innovation for AI. In the early 2000s, programmers hand-coded neural networks to breathe life into virtual worlds (opens in new tab), creating engaging ...

Python code for analysing steel dilatometer curves. Functions for the code are found in "dilatometry_ts_calculator.py" and include: 'dilatometry_curve_plotter' for plotting a temperature-strain curve, ...

Density is a fundamental material property that can be used to determine a variety of other properties and the material’s feasibility for various applications, such as with energetic materials.

Gradient ascent aims to identify and maximise the peak of a function by moving in the direction of the gradient. The method requires a specified and differentiable function to evaluate its gradients ...