- Aip 200 usb optical probe driver how to#
- Aip 200 usb optical probe driver full#
- Aip 200 usb optical probe driver download#
Mohan Kankanhalli at School of Computing in the National University of Singapore, and his Bachelor’s Degree (in 2016) at Taishan College in Shandong University, China.
Prior to RIKEN-AIP, Jingfeng obtained his Ph.D. Jingfeng Zhang is a researcher in RIKEN-AIP at “Imperfect Information Learning Team’’ supervised by Prof.
Aip 200 usb optical probe driver how to#
In this talk, I will introduce how to leverage adversarial attacks/training for evaluating/enhancing reliabilities of AI-powered tools. AT has two purposes: (1) correctly classify the data (same as ST) and (2) make the decision boundary thick so that no data lie nearby the decision boundary. Thus, the model has already seen many adversarial training data in the past, and hopefully it can generalize to adversarial test data in the future. What is AT? Given the knowledge that the test data may be adversarial, AT carefully simulates some adversarial attacks during training.
Adversarial robustness is aimed at improving the robust accuracy of trained models against adversarial attacks, which can be achieved by adversarial training (AT). An adversarial attack is an algorithm which applies specially designed tiny perturbations on natural data to transform them into adversarial data, in order to mislead a trained model and let it give wrong predictions. However, those models cannot handle adversarial test data (also known as adversarial examples) that are algorithmically generated by adversarial attacks. When we deploy models trained by standard training (ST), they work well on natural test data. For more information on the Guide to PHARMACOLOGY (abbreviated as GtoPdb) see the About page and the FAQ.Adversarial robustness: from basic science to applications The Guide to PHARMACOLOGY is based on information previously available separately in the International Union of Basic and Clinical Pharmacology Database (IUPHAR-DB) and the Guide to Receptors and Channels (GRAC). This help page describes the terms and symbols used in the database and the search tools available on the website. Terms and symbolsįor further information on the pharmacological terms mentioned see the NC-IUPHAR publication on terms and symbols. Please refer also to the Glossary section of this help page.
Aip 200 usb optical probe driver download#
TutorialĪ tutorial for using the database and guidance on navigating the website is available to download as a PDF.Ī set of protocols for using the website has been published in Curr Protoc Bioinformatics. These are useful "how-to" guides with illustrations for using the various features: KD MAX RESPONSE DOWNLOAD Specific help pages on the IUPHAR/MMV Guide to Malaria Pharmacology portal and data Contact us Specific help pages on the IUPHAR Guide to Immunopharmacology portal and data (2018) Accessing Expert‐Curated Pharmacological Data in the IUPHAR/BPS Guide to PHARMACOLOGY. If you would like to get in touch with any comments, questions, error reports and suggestions please email us. Please refer to this page for details on how to cite the information contained in the Guide to PHARMACOLOGY. The information in the Guide to PHARMACOLOGY builds upon two previously available resources:ġ. IUPHAR-DB ( was developed from 2003-2014 under the auspices of NC-IUPHAR (International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification) to provide an accurate educative resource to the scientific community. These data constitute the detailed target pages on the GtoPdb site. It relies on contributions by expert pharmacologists who volunteer their time. All contributors are attributed near the bottom of the relevant database pages.
Aip 200 usb optical probe driver full#
The Guide to Receptors and Channels (GRAC) published in the British Journal of Pharmacology: KD MAX RESPONSE FULLĪ full contributor list can be viewed here.Ģ. (2011) Guide to Receptors and Channels (GRAC), 5th edition. The Concise Guide to PHARMACOLOGY replaces GRAC and represents a biennial snap-shot view of the concise family pages from the Guide to PHARMACOLOGY website. The data are primarily summarised from selected primary literature articles, which are linked to PubMed.
Where possible the data are linked to other relevant databases for further information.Įntry points to the data are either via the database search tools (quick search at the top of every page or 'Advanced Search' tools linked from the menu) or through browsing the target and ligand lists. Targets are organised into protein classes (GPCRs, enzymes, ion channels etc) and then subdivided into families (e.g.
0 kommentar(er)
