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.
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Hosted on MSN

What to learn for deep learning – 3 clear roadmaps for beginners

Get started with deep learning the right way! Here are three practical learning roadmaps to guide beginners through math, programming, and model building. #DeepLearning #AI #MachineLearning Mike ...
IEEE

A Comprehensive Analysis of CNN-Based Deep Learning Models: Evaluating the Impact of Transfer Learning on Model Accuracy

Abstract: This paper conducts a comprehensive analysis of Convolutional Neural Network (CNN)-based deep learning models, focusing on the impact of transfer learning on their accuracy. Multiple ...
IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
The University of Chicago Chronicle

Why can’t powerful AIs learn basic multiplication?

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...
ZDNet

How to master ChatGPT basics in under an hour - with my favorite free resources

Learn ChatGPT fast with a curated one-hour video roadmap Key features like memory, projects, and Canvas boost productivity ZDNET guides help you choose models, prompt better, and dive deeper So, ...
IEEE

Real-Time Detection of Fileless Malware Using Hybrid Deep Learning with CNN and Autoencoder Anomaly Detection

Abstract: Fileless malware represents a rising and complex challenge in cybersecurity, primarily due to its capability to avoid conventional detection strategies by operating entirely within a ...