Arrived at Bad Blankenburg for the retreat week with @CvJena. Nice place, nice people, nice time!

We from #Zeiss Corporate Research are showcasing our research this week at the German Conference on Pattern Recognition (#GCPR). Don't miss your chance to experience hands-on machine learning with a microscope! If you're not into microscopes, we also work in a lot of other areas.

9 Distance Measures in data science with algorithms. via: Dr. Ganapathi Pulipaka 🇺🇸

"Mathematics for machine learning" (CUP, 2020). Free PDF from mml-book.github.io 😊 A must-read masterpiece, nicely structured and richly color-illustrated!

Hamburg - München für 135€ oder Hamburg - Budapest (über München) für 56€... was ist da los mit der Deutsche Bahn Personenverkehr? Einfach hier mal probieren: mavcsoport.hu

To be clear: I'm not criticizing OpenAI's work nor their claims. I'm trying to correct a *perception* by the public & the media who see chatGPT as this incredibly new, innovative, & unique technological breakthrough that is far ahead of everyone else. It's just not.

We are pleased to announce the 3rd CamTrapAI workshop! We invite short paper submissions where the best papers will be invited to submit to a special issue of the IET Computer Vision Journal! More details here: inf-cv.uni-jena.de/camtrap-ws/ 🦍📸

There is only #oneweekleft till the 6th talk of our AI for Good 🇺🇳 #AIforGood Lecture series "#Al for Earth and #Sustainability Science" 🗓 on April 26th at 5 p.m Register now: bit.ly/43L4Hmj Speakers: Sara Beery Miguel Mahecha Moderator: Joachim Denzler @CvJena

Join us for the 7th online talk💻 of our AI for Good 🇺🇳 #AIforGood Lecture series "#Al for Earth and #Sustainability Science" 🗓May 10th at 5 p.m #oneweekleft Register now: bit.ly/3LKbKVs Speakers: devistuia & Nico Lang Moderators: Gustau Camps-Valls (ISP • Image and Signal Processing), Markus Reichstein

Today our members Miguel Mahecha, Gideon-Stein & Conrad Philipp, together with Violeta Trifunov (@CvJena), attended the Conference "Building Bridges for the Next Generations" in #Dresden 🌉🤝🏻 @HZDR_Dresden Universität Jena

📢 We are thrilled to announce Prof. Daniel Rubenstein and Prof. David Schedl as our keynote speakers! Find out more about our speakers here: inf-cv.uni-jena.de/camtrap-ws/. We welcome all ecology and AI enthusiasts to join us at #CamTrapAI on 7-8 Sept 🦓

The submission deadline ➡️ extended to June 26th⏳️ Speakers: Daniel I. Rubenstein (Princeton University), David Schedl (FH Oberösterreich) + the 3rd speaker (ZEISS Group) tba

Big thanks to the amazing team for all the support! 🙌🏼 Dimitri Korsch, Niklas Penzel, Christian Requena (Max Planck Institute for Biogeochemistry), Melanie Weynants, Claire Robin, Souzana Touloumtzi, Vitus Benson, Ioannis Papoutsis, Lazaro Alonso #AIforGood #ITUaiSummit

Here's a short dynamics-based explanation of the equation e^(πi)=-1

Are you ready for the event next week!? 17 talks, 4 sessions, 4 invited speakers - check out the schedule if you want more information: inf-cv.uni-jena.de/camtrap-ws/sch…. There, you can also find the Zoom links to join the event online.

Thank you to all the participants! It was a great event with fantastic talks and discussions. To give you an approximate impression of the event, we published a selection of images: inf-cv.uni-jena.de/camtrap-ws/imp…. I am looking forward to further cooperation with all of you!

📢 Deadline for the IET Computer Vision Special Issue: Camera Traps, AI, and Ecology is coming up! 🌿📸🤖 Submit your papers by Friday, 15 December 2023 🗓️ Visit the website for more details: ietresearch.onlinelibrary.wiley.com/hub/journal/17…

📽️ New 4 hour (lol) video lecture on YouTube: "Let’s reproduce GPT-2 (124M)" youtu.be/l8pRSuU81PU The video ended up so long because it is... comprehensive: we start with empty file and end up with a GPT-2 (124M) model: - first we build the GPT-2 network - then we optimize

I'm tired of having to prove to people that generative AI systems infringe by default, so here's a megathread of images I've prompted you can use in your discussions. Article by Gary Marcus and myself at the end. 1/🧵

Understanding Machine Learning Book for Free! If you want a FREE copy, 1. Like + Repost 2. Comment 'ML' 3. Follow me Python Coding so that I can DM you.