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, ...
Introduction: In this study, we propose a data-driven approach that integrates behavioral diagnosis with neuroimaging features to identify representative UWS and MCS patients from a large inpatient ...
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, ...
With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...
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, ...
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: 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) ...
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 ...
This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...
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