At its core, the SPARKLINE function in Google Sheets takes a row of numbers and turns them into a mini chart that lives right inside a single cell. Instead of inserting a full-sized chart that eats up ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...

For a 𝑛-legged walking robot, a foot trajectory was planned to follow a sinusoidal trajectory (sinusoidal function wrt ground in the form of 𝑦 = 𝐴 ∙ 𝑠𝑖𝑛(𝜔𝑥) where is the vertical movement and ...

Centuries before the word “algorithm” became synonymous with Silicon Valley and artificial intelligence, it had its roots in Indian mathematics, carried across continents through manuscripts that ...

One powerful way to do this is through a routine called slow reveal graphs.

On 20 August, the University Grants Commission (UGC) issued a notice under its ‘Learning Outcomes-based Curriculum Framework’ (LOCF), aligned with the National Education Policy (NEP) 2020. Among the ...

DeePoly is a universal high-precision mesh-free PDE solving framework. The core concept leverages the nonlinear approximation capabilities of deep neural networks combined with the local ...