IEEE

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks

Abstract: In neural architecture search (NAS) methods based on latent space optimization (LSO), a deep generative model is trained to embed discrete neural architectures into a continuous latent space ...
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 ...
CSOonline

Vim and GNU Emacs: Claude Code helpfully found zero-day exploits for both

A simple prompt sent Claude Code on a mission that uncovered major security vulnerabilities in popular text editors — and then suggested ways to exploit them. Developers can spend days using fuzzing ...
IEEE

A Neural-Network-Based Statistical Compact Model Using a Variational Autoencoder for Emerging Transistors

Abstract: Emerging transistors lack the statistical compact models needed to evaluate the yield of integrated circuits. To address this, we propose a novel framework combining a variational ...