IEEE

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations

Abstract: Deep convolutional neural networks (CNNs) have proven their effectiveness and are widely acknowledged as the dominant method for image classification. However, their lack of explainability ...
Business Insider

A 4 a.m. scramble turned Anthropic's leak into a 'workflow revelation'

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...
Business Insider

Anthropic accidentally exposed part of Claude Code's internal source code

Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...
CNBC

Anthropic leaks part of Claude Code's internal source code

Anthropic accidentally leaked part of the internal source code for its coding assistant Claude Code, according to a spokesperson. The leak could help give software developers, and Anthropic's ...
IEEE

SAGoG: Similarity-Aware Graph of Graphs Neural Networks for Multivariate Time Series Classification

Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.
Frontiers

NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation

The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...