Abstract: This paper proposes an innovative iterative method that combines Kriging interpolation with the iterative refinement search (IRS) algorithm to tackle the inverse problem of eddy current ...

Abstract: Currently, high-precision positioning has become an urgent need in 5G vertical industries. In this paper, an improved angle estimation method based on a certain weighted iterative refinement ...

The best platforms are built with input from many different team members with unique skills and experiences. The same applies to building a community. When you’re bringing a group of people together, ...

According to @godofprompt on Twitter, a meticulously engineered meta-prompt now enables AI models like ChatGPT and Claude to teach any subject using Richard Feynman's learning philosophy. This AI ...

Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...

ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...

Apple’s September events are as much cultural moments as they are product launches. This year’s unveiling of the iPhone 17 carried the usual mix of sleek hardware, polished marketing, and breathless ...

What if your coding assistant could do more than just write lines of code? Imagine it stepping into the role of a full-fledged UI designer, creating polished, responsive, and accessible interfaces ...

Forbes contributors publish independent expert analyses and insights. Caroline Castrillon covers career, entrepreneurship and women at work. More professionals are using AI tools at work than ever ...

Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to recent progress in LLMs. However, most popular public DR agents are not designed with human thinking ...