Introduction to Scientific and High Performance Computing provides knowledge and understanding of paradigms, fundamental ideas and trends in High Performance Computing (HPC) and methods of numerical ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

MIT License Copyright (c) 2025 Ole Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files ...

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Latest innovations unveiled at American Association for Cancer Research (AACR) Annual Meeting 2025 include image-guided injection system and other solutions advancing discoveries across cancer science ...

Join Scientific Computing World's private, not-for-broadcast roundtable for scientists and data managers using mass spectrometry in drug discovery and development (Image: Shutterstock) Scientific ...

Parallel implementation of algorithms involves many difficult problems. In particular among them are round-off analysis, the way to convert sequential programs and algorithms into the parallel mode, ...

Goldwater Scholars are tops in undergrad research. CMU has had 54.