Abstract: In this article, we propose an efficient Takagi–Sugeno fuzzy zeroing neural network (TS-FZNN) activated by a new activation function for solving the time-varying Sylvester equation. The self ...

Abstract: Quantization is an effective method for compressing Deep Neural Networks. Now, it is considered to accelerate the traditional HPC applications. In this article, we present a quantization ...

A simple looking grade-school math problem has stumped the masses. Can you solve it correctly? The simple equation shared by @BholanathDutta on X this week, who regularly posts brainteasers, read ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...