Yahoo Malaysia

New AI systems are teaching machines to verifiably function safely

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
Opinion
How-To Geek on MSNOpinion

Python's SymPy Library Makes Math Easy. Here Are 6 Practical Uses

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about the subject. With SymPy, algebraic operations become easier than tedious ...
IEEE

A New Parameter-Changing Integral ZNN Model With Nonlinear Activation for Solving Inequality Constraint Time-Varying Quadratic Programming

Abstract: The conventional zeroing neural network (ZNN) model faces significant challenges in handling time-varying noise, with its convergence speed being highly sensitive to initial conditions. In ...
IEEE

Solving quadratic minimization problem by finite-time recurrent neural network using two different nonlinear activation functions

Abstract: Two finite-time recurrent neural network models (abbreviated as FTRNN-1 model and FTRNN-2 model) are proposed and investigated for solving quadratic minimization problem that is widely used ...
Hosted on MSN

2D Green's Theorem Example; Solving Both Sides of the Equation

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...