Algorithms of Late Capitalism: the card game - The New New
Our project is a community co-designed critical card game that induces players to reflect on the absurdities of our technological present and imagine futures that are more fair.
A simple application that allows you to generate various copy with just a prompt. Its use ranges from summarizing long text, answering questions, completing thoughts and writing articles. The tool is powered completed by OpenAI's GPT-3 algorithm.
9 Generative Designers To Draw Inspiration From - DeMagSign
Even though it has gained more attention in the past few years, Generative Design is not a brand-new phenomenon; people have been using it as far back as the 90’s, but it never had the level of use and application that it has today. Generative Design harnesses the power of AI to develop high-performance and sophisticated design iterations that help solve complex challenges — e.g. reducing component weight — , optimising performance, making designs simpler, and assisting humans in the creative process. How does Generative Design work? The designer specifies and inputs in the generative design software all criteria for...
“Design ∩ Code Systems: Curating a thread on a topic I’m really interested in. Tools that blur the line between designing and engineering. Hope you find something inspiring here: https://t.co/GwWFW3GCGN”
Best practices for ML product decisions (ML Tech Talks)
In this Machine Learning Tech Talks session, Senior UX Designer Di Dang unpacks best practices for ML product decisions using the People + AI Guidebook.
ouhenio/StyleGAN3-CLIP-notebook: A Jupyter notebook to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
A Jupyter notebook to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation. - ouhenio/StyleGAN3-CLIP-notebook: A Jupyter notebook to play with NVI...
ImageMesh is a dataset of images drawn from the arXiv repository of Machine Learning papers. This version uses 600,000 images from a total of over 12 million in the arXiv bulk dataset up to July 2020.
We are looking for a self-driven, tech-minded designer to develop a series of visual experiments and prototypes to explore and explain the opaque inner workings of machine learning.