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 ...

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

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, researcher, and ...

Abstract: This paper proposes a separate quintic polynomial trajectory for each sub phase of gait cycle to achieve smooth human-like walking. A biped robot with active hip, knee and ankle joints is ...