Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

4 British Athletics Medical Team, British Athletics National Performance Centre, LoughboroughUniversity, Loughborough, UK Correspondence to Dr Noel Pollock, British Athletics Medical Team, Level 1 ...

Our knowledge of the structure and composition of genomes has progressed in pace with their sequencing. As was expected early on 1, TEs have been found in virtually all eukaryotic species investigated ...