Here is 2024's first digital twin demo: https://t.co/uTsMKJhsqx #omniverse #isaacsim #robotics #digitaltwin #simulations #openusd

#GTC2024 is coming. I won't be there this year, but here is the virtual factory and digital twin demo I presented last year: https://t.co/nuy4Dp0BSQ #omniverse #isaacsim #digitaltwin

Use the NVIDIA Neural Kernel Surface Reconstruction software from our research team to create a #3D model for a chance to win an NVIDIA RTX 3090 Ti, starting now through Sept. 8, 2023. #NKSR #NKSRSweepstakes Download the code and get started: https://t.co/6bShRVPJ3o 🧵 2/2

✨Introducing Neuralangelo✨ A new #AI model to turn 2D video from any device -- cell phone to drone capture -- into 3D structures with intricate details. New from #NVIDIAResearch #CVPR2023 Read more: https://t.co/e75oke56tz

#NVIDIA Developer's new showcase with our #IsaacSim palletizing demo:

Ray tracing is the holy grail of gaming graphics, simulating the physical behavior of light to bring real-time, cinematic-quality #rendering to even the most visually intense games. #RTGII #raytracing #openaccess Download FREE ebook: https://t.co/apiR9NKn67

Curious about the possibilities of #3D content creation with #GenerativeAI? 🤔 Don't miss this livestream tomorrow to see what can happen when you experiment with @openAI ChatGPT and @NVIDIAOmniverse. 📆 Add to your calendar: https://t.co/jFXQ5jgLs8

Catch-23: The New C Standard Sets the World on Fire

Our #GTC23 talk on #robotics and #digitaltwins is featured on #NVIDIA's Robotics Developer Newsletter. Come join us on March 22nd at 11:00 AM PDT. Session ID: S51494

This #GTC23, we will talk about #Robotics #DigitalTwins #Simulations #CAD and more. Come join us on March 22nd at 11:00 AM Pacific Time!

Generating 3D models from text? Our Magic3D can create high-quality 3D textured mesh models from input text prompts. Read more (via @3dprintindustry):

How does LiDAR work? Here’s the full article. Like, Follow and retweet for more (it really helps) https://t.co/qcw4fmvAbX #python #ros #computerscience #STEM

debugging in Python: - `print()`s alone: too simple - `import pdb; pdb.set_trace()`: too complex - `import code; code.interact(local=locals())`: just right simply drops you into interpreter, perfect for 95% of debugging

Take Materials Science 101. You won’t regret it.

If you are interested in robotics, and have software development experience in 3D CAD and computational geometry, this is your chance! Check out this job at @RiosCorporation

Software developers want to get into machine learning. Many make the same mistakes. I've seen a few, and I have some ideas on how to avoid them. This is what I've learned ↓

Matplotlib cheatsheets: https://t.co/ioZS9FBinA @matplotlib

Reverse Engineering 101 : CPU, memory, debugging and cheating in minesweeper :

#Python tip: Database queries are especially fast if you copy the database into RAM: import sqlite3 source = sqlite3.connect('main_database.db') dest = sqlite3.connect(':memory:') source.backup(dest) https://t.co/ydIDVrAHqt

Another cool product from the developers of @sensemoreio https://t.co/8kAsX0UGoy