GitHub

RTX 5090/5060 Docker: PyTorch & TensorFlow for NVIDIA Blackwell GPUs

The first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...

Litert matters: Google’s big bet on on-device AI

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...
IEEE

Surrogate-Driven Structural Optimization of a Vacuum-Compatible Robotic End-Effector Using ANSYS and a Python Digital Twin Framework

Abstract: Designing robotic end-effectors often begins with a simple question: how will the structure behave when its material, geometry, and loading conditions change? In practice, answering this ...
GitHub

RTX 5070ti with CUDA capability sm_120 not compatible with the current PyTorch Instalation

I've just upgraded from a 3070 ti to a 5070 ti. When I load Forge, I'm greeted with the following message: NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120 is not compatible with the current ...
IEEE

PCART: Automated Repair of Python API Parameter Compatibility Issues

Abstract: In modern software development, Python third-party libraries play a critical role, especially in fields like deep learning and scientific computing. However, API parameters in these ...