Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

This paper presents the optimization performance of non-uniform linear antenna array with optimized inter-element spacing and excitation amplitude using Particle Swarm Optimization (PSO). The aim of ...

Linear TV’s direct-sold era may be nearing its end. NBCU is testing agentic systems that can automatically activate campaigns across its entire portfolio – including live sports programming on linear ...

Abstract: This paper investigates the self-triggered model predictive control for networked linear systems. The self-triggered mechanism is designed based on switched cost functions, which can be used ...

Just a few years ago, large language models (LLMs) were mostly used by researchers and data scientists in highly technical environments. Today, they’ve become part of the tools many people use every ...

Abstract: This article aims to address the problem of distributed model-free adaptive iterative learning control for nonlinear discrete-time multiagent systems under switching topologies. To save ...

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...

For many countries a plain-eye inspection of the COVID-19 infection curves reveals a remarkable linear growth over extended time periods. This observation is practically impossible to understand with ...