InfoWorld

Google’s cheaper, faster TPUs are here, while users of other AI processors face a supply crunch

Businesses already writing for TensorFlow, or building from scratch, stand to benefit most, while enterprises with legacy ...
InfoWorld

AI and machine learning outside of Python

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
GitHub

python kernel_builder qalloc call very slow for numpy arrays for 25+ qubits

I have been simulating a circuit with cudaq kernel that is allocated with an initial statevector and trying to debug a major performance decrease around 25 qubits. I noticed that in the kernel.qalloc ...
GitHub

CUDA Kernel Extractor LLM

CUDA Kernel Extractor LLM is an intelligent tool that uses OpenAI's GPT models to automatically extract and reconstruct CUDA kernel functions from open-source CUDA code repositories. This tool ...
IEEE

Semi-Analytical Super-Resolution X-Space Reconstruction for Magnetic Particle Imaging Scanner via Adaptive Kernel Optimization

Abstract: Magnetic Particle Imaging (MPI) is an emerging biomedical imaging technique. The x-space method, one of the mainstream reconstruction methods in MPI, offers high efficiency and real-time ...