statworx

Sci-fi got it wrong. We assumed AI would be super logical and humans would provide creativity. But in reality it’s the opposite. Generative AI is good at getting an approximately correct output, but if you need precision and accuracy you need a human.

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watch a 2 layer neural network learn to separate two classes to the left and right

Enabling new types of creativity tools. Things that are only recently possible.

I decided to turn my error into an image with stable diffusion. That seems about right.

When your team is about to do a simple tech migration

Yesterday @ #MadeByGoogle we also announced the latest on the Super Res Zoom feature on #Pixel7Pro It's a project my team's been involved in since '18. This year, our teams've made it so much more powerful. You can zoom up to 30x. Let me show you in a 🧵 twitter.com/madebygoogle/s…

Today we announced a new feature on Pixel 7/Pro and @GooglePhotos called "Unblur". It's the culmination of a year of intense work by our amazing teams. Here's a short thread about it 1/n #MadeByGoogle #fixedonpixel #Pixel7 #PhotoUnblur @GooglePixel_US

The Illustrated Stable Diffusion jalammar.github.io/illustrated-st… New post! Over 30 visuals explaining how Stable Diffusion works (diffusion, latent diffusion, CLIP, and a lot more).

We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts. Have an idea you want to see? Reply w/ your prompt using #MetaAI and we’ll share more results.

Auch wir sind Teil der gerade stattfindenden #KITScienceWeek21. Dazu passend geht es jetzt beim #InnovationFestivalKA um KI im Designprozess. Marco Limm von cre[ait]ion & Sebastian Heinz @statworx pitchen auf der Bühne. Jetzt im Livestream: karlsruhe.digital/innovationfest…

📬 STATBLOG: Deploy and Scale Machine Learning Models with Kubernetes In this article, Jonas Braun explains how to deploy containers reliably and scalably for customers, other applications, internal services or computations with #Kubernetes. statworx.com/en/blog/deploy…

📝 #Whitepaper: "Container Strategies for Data Science" | In this whitepaper, we discuss the fundamentals and characteristics of #containers in #AI product development and define five essential layers of a container strategy for #DataScience. statworx.com/en/data-scienc…

🎉Und auch diese Woche können wir wieder neue Mitglieder begrüßen: - 2txt - @statworx - Promethion FX - Scriptbakery AI - CENTA MG GmbH - Mentessa - P-CATION® - neuraforce GmbH 👏 Wir freuen uns darauf gemeinsam mit euch den KI-Standort Deutschland zu gestalten.

📬 STATBLOG: In this article, John Vicente talks about the typical challenges along the #machinelearningworkflow, describes the possible solution platform #MLflow and presents three different scenarios that can be used to professionalize ML workflows.  ow.ly/7gQE50Fm0sR

🐶 💕 Today, on National Take Your Dog to Work Day, we're especially missing our very cute colleagues Manfredo, Leo, Romeo and Neville. You wouldn't believe how excited we are to see everyone back in the office very soon. 😍 #statcrew #officedog #takeyourdogtoworkday

📝 White paper: "Why the cloud is important for the success of AI initiatives" In this white paper, we present ten arguments why every company planning to use AI should consider the (public) cloud. 👉 ow.ly/H2qf50FctP3 #cloud #ai #whitepaper

📬 #Explainability of #DeepLearning Models with Grad-CAM | In this article, Stephan Müller covers a significant topic: Explainable AI. He discusses various approaches for CNN networks, with a particular focus on the Grad-CAM method. 👉 ow.ly/eQPc50EQdIS #machinelearning

📬. "Deploying TensorFlow Models in Docker using TensorFlow Serving" | In this article, you will learn how models can be deployed using TensorFlow Serving, and how you can run model queries. 👉 ow.ly/KcbV50EKQjX #docker #tensorflow #deeplearning