Beyond the JEE route, IITs are opening new pathways through online and executive courses in AI, robotics, biotechnology, and programming. Several programmes are available without JEE scores, with ...
IIT Courses In 2026: IITs now offer several courses and programmes that students can pursue without JEE scores.
Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...
Many of these courses focus on fast-growing, high-demand fields like data science, AI, robotics, biotechnology, and programming. This makes world-class IIT education accessible to a broader audience, ...
When we think about heat traveling through a material, we typically picture diffusive transport, a process that transfers ...
A hundred years ago this week, at the height of the quantum revolution, Austrian physicist Erwin Schrödinger submitted a manuscript for publication. Its centerpiece was an innocuous-looking equation ...
We earn commissions from purchases you make using links in our articles. Learn more. Most of the time, it’s unnecessary to give your vehicle’s differential cover a second thought; the technology has ...
Make sure you are confident in solving one and two-step linear equations and expanding brackets in order to tackle these more complex types of equations. Substitute close substituteIn algebra, to ...
Abstract: Multivariate time series prediction has aroused widely research interests during decades. However, the spatial heterogeneity and temporal evolution characteristics bring much challenges for ...
Abstract: This paper develops a framework for privatizing the spectrum of the Laplacian of an undirected graph using differential privacy. We consider two privacy formulations. The first obfuscates ...
The key intuition of SDEdit is to "hijack" the reverse stochastic process of SDE-based generative models, as illustrated in the figure below. Given an input image for editing, such as a stroke ...
This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...