How Claude Code Is Reshaping Software—and Anthropic

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

The US and China Are Collaborating More Closely on AI Than You Think

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
Dot Physics on MSN

Pendulum simulation and visualization in Python physics

Pendulum simulation and visualization in Python physics. This video demonstrates how to model pendulum motion numerically and visualize the results to better understand oscillations, forces, and ...
Opinion
Dot Physics on MSNOpinion

How to model a string with mass using Python

In this video, we show how to model a string with mass using Python, breaking down the physics, equations, and numerical approach step by step. Learn how to represent distributed mass, apply forces, ...
Dot Physics on MSN

GlowScript VPython tutorial | Dipole electric field simulation

In this tutorial, we use GlowScript VPython to build a dipole electric field simulation step by step. Learn how to model charges, compute field vectors, and create an interactive visualization that ...
IEEE

A Deep Learning Approach for Automated Image Captioning with CNN and LSTM Models

Abstract: Accurately describing a picture has turned out to be a crucial problem, and expert system researchers have always been interested in image captioning, sometimes referred to as characterizing ...
IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
Recycling Today

Heil introduces a Common Body platform for its DuraPack Python and Half/Pack models

Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...
IEEE

Hybrid CNN-Transformer Models in Histopathology Image Analysis: A Scoping Review

Abstract: Hybrid convolutional neural networks (CNNs) and Transformer-based architectures have demonstrated strong potential in histopathological image analysis by combining local feature extraction ...
IEEE

Development of Scalable Deep Learning Frameworks Utilizing Advanced Hybrid Models like Transformer-CNN for Distributed Computing Environments

Abstract: Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has ...
IEEE

QCL-LNF: A Spatiotemporal Quantum CNN-LSTM Model for Long-Term NDVI Forecasting

Abstract: The normalized difference vegetation index (NDVI), as a key remote sensing indicator for assessing vegetation growth conditions, plays a vital role in agricultural monitoring and ecological ...
IEEE

Comprehensive Analysis of CNN-Based Models for SNR Estimation

Abstract: Deep learning (DL) models offer a promising solution for Signal-to-Noise Ratio (SNR) estimation in wireless communication systems. Recently, regression-based DL approaches have been explored ...