This contains examples, scripts and code related to image classification using TensorFlow models (from here) converted to TensorRT. Converting TensorFlow models to TensorRT offers significant ...

Palantir stock is once again a top performer across the S&P 500 and Nasdaq-100, but a sharp sell-off could be in store sooner than later.

Last fall, the federal government announced it would lower immigration targets after criticism of the impact of strong population growth on housing availability and affordability. A chart that spread ...

To obtain better hyperspectral data classification results, a novel cross-attention mechanism and graph convolution integration algorithm are proposed in this letter. First, principal component ...

Sea ice data is updated daily, with a one-day lag. On occasion, there is data delay which is usually resolved within a few days. The orange line in extent and concentration images (left and ...

GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, serving as an alternative to VectorRAG (Vector Retrieval Augmented Generation).

Aficamten was associated with improved peak oxygen uptake and a tolerable safety profile vs. metoprolol, a beta-blocker, in patients with symptomatic obstructive hypertrophic cardiomyopathy ...

Hyperspectral image (HSI) classification has gained increasing attention in remote sensing due to its fine-grained spectral information. However, existing methods still face significant challenges in ...