synthetic data

Simulating sedimentary burial cycles: I. investigating the role of apatite fission track annealing kinetics using synthetic data

By geoscan.nrcan.gc.ca
Published On :: Tue, 25 May 2021 00:00:00 EDT

McDannell, K T; Issler, D R. Geochronology vol. 3, 2021 p. 321-335, https://doi.org/10.5194/gchron-3-321-2021
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/20200758.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/20200758.jpg" title="Geochronology vol. 3, 2021 p. 321-335, https://doi.org/10.5194/gchron-3-321-2021" height="150" border="1" /></a>


Full Article

synthetic data

SAS Acquires Hazy Synthetic Data Software to Boost Generative AI Portfolio

By www.przoom.com
Published On :: Tue, 12 Nov 2024 00:00:00 -0500

PRZOOM - Newswire (press release) - Tue, 12 Nov 2024 00:00:00 -0500, Cary NC United States - Strategic move reinforces SAS leadership in data and AI, enhancing customer innovation and data security - Hazy.com / SAS.com


Full Article

  • Engineering / Artificial Intelligence
synthetic data

Deep residual networks for crystallography trained on synthetic data

By journals.iucr.org
Published On :: 2024-01-01

The use of artificial intelligence to process diffraction images is challenged by the need to assemble large and precisely designed training data sets. To address this, a codebase called Resonet was developed for synthesizing diffraction data and training residual neural networks on these data. Here, two per-pattern capabilities of Resonet are demonstrated: (i) interpretation of crystal resolution and (ii) identification of overlapping lattices. Resonet was tested across a compilation of diffraction images from synchrotron experiments and X-ray free-electron laser experiments. Crucially, these models readily execute on graphics processing units and can thus significantly outperform conventional algorithms. While Resonet is currently utilized to provide real-time feedback for macromolecular crystallography users at the Stanford Synchrotron Radiation Lightsource, its simple Python-based interface makes it easy to embed in other processing frameworks. This work highlights the utility of physics-based simulation for training deep neural networks and lays the groundwork for the development of additional models to enhance diffraction collection and analysis.


Full Article

synthetic data

DORA-XGB: An improved enzymatic reaction feasibility classifier trained using a novel synthetic data approach

By pubs.rsc.org
Published On ::

Mol. Syst. Des. Eng., 2024, Accepted Manuscript
DOI: 10.1039/D4ME00118D, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Yash Chainani, Joseph Ni, Kevin Shebek, Keith Tyo, Linda J. Broadbelt
Retrobiosynthesis tools harness the inherent promiscuities of enzymes for the de novo design of novel biosynthetic pathways to key small molecules. Many existing pathway search algorithms rely on exhaustively enumerating...
The content of this RSS Feed (c) The Royal Society of Chemistry


Full Article

synthetic data

What is synthetic data and how can it help protect privacy?

By www.techworld.com
Published On :: Tue, 01 Oct 2019 07:00:00 GMT

Hazy CEO Harry Keen explains why artificially produced data is gaining favour over information generated by real-world events


Full Article