In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...

Abstract: In this paper, disruptive research using generative diffusion models (DMs) with an attention-based encoder-decoder backbone is conducted to automate the sizing of analog integrated circuits ...

Anthropic's Natural Language Autoencoders turn AI activations into readable text, offering breakthroughs in safety audits and AI interpretability. Anthropic has introduced a groundbreaking tool called ...

This repo is the code base for the implementations related to Transformers - for Computer Vision. I have tried out various image based transformer architectures starting with the Vaswani's ...

An autoencoder-inspired tool that compresses any web application into a portable 4-file latent space, then reconstructs it using any LLM. Think of it as extracting the semantic essence of a codebase ...