Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

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 ...

According to @godofprompt, a new AI prompt framework modeled on Richard Feynman’s teaching style enables users to learn complex topics up to ten times faster by breaking down concepts with analogies, ...

A complete demonstration of Google ADK's Visual Agent Builder, showcasing how to build complex multi-agent systems through natural language conversation with an AI Assistant. This research agent uses ...

The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...

The Fusion Horizon Orchestrator implements the philosophical hermeneutic circle as a production-ready multi-agent AI system. Instead of single-pass linear processing, this framework enables AI to ...

Imagine this: it’s 2025, and AI tools like ChatGPT have become as essential to daily life as smartphones. Yet, despite their ubiquity, a staggering 99% of users still struggle with the fundamentals of ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

U.S. Air Force Tech. Sgt. Kyle Austin and Master Sgt. Jesse Fairchild, air traffic controllers assigned to the 248th Combat Airfield Operations Squadron, peer through binoculars in the control tower ...

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 ...

Abstract: Synthetic Aperture Radar (SAR) image simulation of ground targets plays a pivotal role in augmenting training dataset diversity for deep learning-driven Automatic Target Recognition (ATR) ...