Difference between revisions of "Life Sciences"
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* [[Assessing Damage]] | * [[Assessing Damage]] | ||
* [[Time#Global Positioning System (GPS)|Global Positioning System (GPS)]] | * [[Time#Global Positioning System (GPS)|Global Positioning System (GPS)]] | ||
| + | * [http://singularityhub.com/2021/11/16/ai-can-now-model-the-molecular-machines-that-govern-all-life/ AI Can Now Model the Molecular Machines That Govern All Life | Shelly Fan - SingularityHub] | ||
Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). [http://www.nature.com/articles/s42005-020-0317-3 DeepSPM, an autonomous artificial intelligence (AI)-driven scanning probe microscope | A. Krull, P. Hirsch, C. Rother, A. Schiffrin & C. Krull] | Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). [http://www.nature.com/articles/s42005-020-0317-3 DeepSPM, an autonomous artificial intelligence (AI)-driven scanning probe microscope | A. Krull, P. Hirsch, C. Rother, A. Schiffrin & C. Krull] | ||
Revision as of 19:30, 17 November 2021
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- Case Studies
- COVID-19
- Assessing Damage
- Global Positioning System (GPS)
- AI Can Now Model the Molecular Machines That Govern All Life | Shelly Fan - SingularityHub
Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). DeepSPM, an autonomous artificial intelligence (AI)-driven scanning probe microscope | A. Krull, P. Hirsch, C. Rother, A. Schiffrin & C. Krull
