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Se afișează postările cu eticheta nvidia. Afișați toate postările
Se afișează postările cu eticheta nvidia. Afișați toate postările

miercuri, 26 iunie 2024

News : Two videos from NVIDIA !

Jensen Huang at the ServiceNow Knowledge24 Keynote
NVIDIA at COMPUTEX 2024 Partner Highlights

luni, 8 aprilie 2024

Optimization Tutorial: OCCLUSION CULLING in Godot from Zenva

Zenva Academy offers self-paced courses in programming, game development and AI for beginners and professionals. see the official youtube.
In this tutorial you will see how to use the occlusion culling feature in Godot.
Occlusion culling increases rendering performance simply by not rendering geometry that is outside the view frustum or hidden by objects closer to the camera. Two common types of occlusion culling are occlusion query and early-z rejection.
You can read about this feature on the nvidia website.

miercuri, 24 ianuarie 2024

News : Reinventing Retail with AI | I AM AI.

As far as I know, NVIDIA is the only company that is involved in development in many fields and offers very pragmatic solutions.
I have not done a case study that is reliable, but I suspect that it can also be applied to small entrepreneurs or small businesses.
Improve Forecasting. Increase Revenue. Reduce Shrinkage.
Leading retailers are tapping into AI to automate warehouse logistics, determine in-store promotions and real-time pricing, enable customer personalization and recommendations, deliver better shopping experiences, and more—both in stores and online.
See What’s Included in This Report.
Dive into the data compiled from a survey of over 400 professionals—including executives, data scientists, developers, engineers, and IT specialists—from around the world. This year’s results reveal the trends, challenges, and opportunities that define the state of AI in retail and consumer packaged goods (CPG) in 2024.

joi, 11 ianuarie 2024

News : Example with kaolin on NVIDIA.

NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints, differentiable camera API, differentiable lighting with spherical harmonics and spherical gaussians, powerful quadtree acceleration structure called Structured Point Clouds, interactive 3D visualizer for jupyter notebooks, convenient batched mesh container and more ... from GitHub repo - kaolin.
See this example from NVIDIA:
NVIDIA Kaolin library has introduced the SurfaceMesh class to make it easier to track attributes such as faces, vertices, normals, face_normals, and others associated with surface meshes.