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 ...

The Karpathy Loop: Former OpenAI researcher’s autonomous agents ran 700 experiments in 2 days and gave a glimpse of where AI is heading

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way to conduct other kinds of autonomous scientific research ...

Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
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 ...
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

Closed-Loop Control of Droplet Quality Based on Curriculum Deep Deterministic Policy Gradient Algorithm

Abstract: Piezoelectric inkjet printing has important applications in high-precision manufacturing, but precise control of droplet quality faces challenges such as the nonlinear coupling between drive ...