InfoWorld

10 tips for getting better R code from your AI coding agent

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...

I've reviewed every PDF editor out there - then I had ChatGPT build me a better one

The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...
IEEE

DeepSecure: Hybrid Deep Learning Framework for Detecting Security Vulnerabilities in Python Code

Abstract: Learning-based software vulnerability detection has progressed rapidly; however, most empirical studies focus on C/C++ and Java and emphasize detection accuracy alone. Python, despite its ...
IEEE

DASH: Design Automation for Synthesis and Hardware Generation for CNN

Abstract: Deployment of complex convolutional neural network (CNN) algorithms on Field Programmable Gate Arrays (FPGAs) is a non-trivial task and it becomes even more challenging when the ...
Hosted on MSN

Learn Python basics in just 20 minutes!

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...
Hosted on MSN

Spring-force modeling of a spinning and flipping T-handle in Python

Spring-force modeling of a spinning and flipping T-handle in Python. Explore rotational dynamics, torque, and oscillations through clear simulations and physics-based code. #RotationalDynamics ...
AOL

Wall St’s TACO tariff code is good for Trump, ‘If he can take the win,’ ex-staffer reveals to CNN

While Wall Street's "TACO trade" strategy has riled President Donald Trump, his former White House staffer argues it might actually be a "win" for the president. In the wake of Trump's tariff ...
Ars Technica

You can now download the source code that sparked the AI boom

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...
Frontiers

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...
Nature

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder

Explainability of convolutional neural networks (CNNs) is integral for their adoption into radiological practice. Commonly used attribution methods localize image areas important for CNN prediction ...
GitHub

Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG

This repository provides the source code of the paper "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG" [pdf]. The complete occlusion of the coronary ...