Abstract: The random matrix model provides a straightforward and low-complexity algorithm, making it a promising solution for extended target tracking and shape estimation. However, the random matrix ...

The year 1999 was a standout year for Hollywood movies. Perhaps the imminent threat of Y2K really released people’s creative juices. In that year, we got the Star Wars prequel classic The Phantom ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

If geometry is imported in to a Sketch from items in an array (multi directional Linear pattern) they move in unexpected direction when array changed. One would expect the vertices to move (get closer ...

The test_power_transformer and test_confusion_matrix_random_weights tests are causing fatal Python crashes (Segmentation fault) when running in the CI environment. The crashes occur specifically ...

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to communicate and collaborate seamlessly. It works by using ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...

We know why you’re here, reader. We know what you’ve been doing. We know why you hardly sleep, why you live alone, and why, night after night, you sit at your computer. We know because we were once ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.