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

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

Graphene and its molecular fragments, known as nanographenes, are key materials for next-generation organic electronics due ...

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...

Get here CBSE Maths important questions of Class 10 of Chapter-Wise for Board exam preparation. Get expert-curated questions ...

Abstract: Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other ...

Abstract: Graph auto-encoder is considered a framework for unsupervised learning on graph-structured data by representing graphs in a low dimensional space. It has been proved very powerful for graph ...