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

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

Abstract: The expressive power of neural networks describes the ability to represent or approximate complex functions. The number of linear regions is the standard and most natural measure of ...

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

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

Abstract: Spurious tones appear in the output phase noise spectrum of a fractional-N frequency synthesizer when nonlinearities are present in the loop. These spurs ...

A degree in computer science used to promise a cozy career in tech. Now, students’ ambitions are shaped by AI, in fields that ...