Open Shading Language (OSL)
/ production, software

Open Shading Language (OSL) is a small but rich language for programmable shading in advanced renderers and other applications, ideal for describing materials, lights, displacement, and pattern generation.

 

https://open-shading-language.readthedocs.io/en/main/

 

https://github.com/AcademySoftwareFoundation/OpenShadingLanguage

 

https://github.com/sambler/osl-shaders

 

 

Lisa Tagliaferri – 3 Python Machine Learning Projects
/ A.I., python, software

 

A Compilation of 3 Python Machine Learning Projects

 

  1. How To Build a Machine Learning Classifier in Python with Scikit-learn
  2. How To Build a Neural Network to Recognize Handwritten Digits with
    TensorFlow
  3. Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with openAI gym
DreamWorks Animation to Release MoonRay as Open Source
/ production, software

 

 

https://www.awn.com/news/dreamworks-animation-release-moonray-open-source

 

https://openmoonray.org/

 

MoonRay is DreamWorks’ open-source, award-winning, state-of-the-art production MCRT renderer, which has been used on feature films such as How to Train Your Dragon: The Hidden World, Trolls World Tour, The Bad Guys, the upcoming Puss In Boots: The Last Wish, as well as future titles. MoonRay was developed at DreamWorks and is in continuous active development and includes an extensive library of production-tested, physically based materials, a USD Hydra render delegate, multi-machine and cloud rendering via the Arras distributed computation framework.

 

 

Note: it does not support osl and usd handling is limited. Cycles may still be a fair alternative.

The God of War Texture Optimization Algorithm: Mip Flooding
/ production, software

https://www.artstation.com/blogs/se_carri/XOBq/the-god-of-war-texture-optimization-algorithm-mip-flooding

 

“delve into an algorithm developed by Sean Feeley, a Senior Staff Environment Tech Artist that is part of the creative minds at Santa Monica Studio. This algorithm, originally designed to address edge inaccuracy on foliage, has the potential to revolutionize the way we approach texture optimization in the gaming industry. ”

 

TurboSquid move towards supporting AI against its own policies
/ A.I., software, ves

https://www.turbosquid.com/ai-3d-generator

 

The AI is being trained using a mix of Shutterstock 2D imagery and 3D models drawn from the TurboSquid marketplace. However, it’s only being trained on models that artists have approved for this use. 

 

People cannot generate a model and then immediately sell it. However, a generated 3D model can be used as a starting point for further customization, which could then be sold on the TurboSquid marketplace. However, models created using our generative 3D tool—and their derivatives—can only be sold on the TurboSquid marketplace.

 

https://resources.turbosquid.com/general-info/terms-agreements/turbosquids-policy-on-publishing-ai-generated-content/

 

TurboSquid does not accept AI-generated content from our artists
As AI-powered tools become more accessible, it is important for us to address the impact AI has on our artist community as it relates to content made licensable on TurboSquid. TurboSquid, in line with its parent company Shutterstock, is taking an ethically responsible approach to AI on its platforms. We want to ensure that artists are properly compensated for their contributions to AI projects while supporting customers with the protections and coverage issued through the TurboSquid license.

 

In order to ensure that customers are protected, that intellectual property is not misused, and that artists’ are compensated for their work, TurboSquid will not accept content uploaded and sold on our marketplace that is generated by AI. Per our Publisher Agreement, artists must have proven IP ownership of all content that is submitted. AI-generated content is produced using machine learning models that are trained using many other creative assets. As a result, we cannot accept content generated by AI because its authorship cannot be attributed to an individual person, and we would be unable to ensure that all artists who were involved in the generation of that content are compensated.

Tatev Aslanyan – Machine Learning for Beginners 2024: Theory to Practice with Python Project
/ A.I., python, software

 

Especially Crafted For:

  • Budding Data Scientists and Python enthusiasts
  • Innovators in Machine Learning and AI fields
  • Engineers looking to transition into ML roles
  • Product Managers eager to incorporate ML insights
  • Educational pioneers and high school students exploring tech
  • Anyone intrigued by the potential of ML and Python