Polynomials is one of the most important chapters in the CBSE curriculum, carrying a weightage of around 5 marks in the board ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Using a new time-resolved Mendelian randomization approach in over 360,000 UK Biobank participants, Karlsson et al. revealed ...

Explore Google's breakthrough in quantum advantage, showcasing its Willow processor's ability to outperform supercomputers in ...

EZBC's performance is closely tied to Bitcoin, which has seen significant outflows and a sharp price decline. Click here to ...

Why are the Jays going to win? In 2018-19 the Expos/Nationals averaged sixth in payroll and they won the World Series in 2019 ...

Google's latest animated Doodle celebrates the quadratic equation, transforming its homepage into an interactive classroom.

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Abstract: An accurate aggregated flexibility cost of distribution network is essential for the coordination of transmission system operator (TSO) and distribution system operator (DSO). However, ...