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

Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

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

Abstract: We study the optimal design of graph filters (GFs) to implement arbitrary linear transformations between graph signals. GFs can be represented by matrix polynomials of the graph-shift ...

Uses data from multiple countries and polynomial regression algrothims to predict carbon emmisions in 2050. Also creates a 3D graph to vizualize the last 20 years of Canada's GDP, and Canda's Carbon ...

Access the comprehensive CBSE Class 10 Maths deleted syllabus for 2025-26. Find out which topics have been removed to ...

The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...

"How Was I Supposed to Know?" achieves a chart milestone as other AI-driven acts continue to make breakthroughs amid the ...

Plankton are the invisible engines of life on Earth, producing much of the planet's oxygen and forming the foundation of the ...