InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
Tech Xplore

Shortest paths research narrows a 25-year gap in graph algorithms

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
IEEE

Robust Design of Power Hardware-in-the-Loop Interfacing Algorithms using Passivity Theory

Abstract: Power Hardware-in-the-Loop (PHIL) has gained popularity in academic and industrial applications due to its flexibility in testing hardware. PHIL connects a physical hardware under test (HuT) ...
IEEE

Enhancing Dual-Loop Pressure Control in Pneumatic Soft Robotics With a Comparison of Evolutionary Algorithms for PID & FOPID Controller Tuning

Abstract: The control of pneumatic soft robotics is challenging due to nonlinearites arising from many factors including pneumatic system components and material properties of the soft actuator.