Topic Artificial Intelligence / Machine Learning
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Cloud
Data Management
Data Resources
Data Science
Flow Cytometry
Genomics
Geospatial Analysis
Image Analysis
Microbiome
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Pharmacogenomics
Programming
Proteomics
R programming
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Spatial Transcriptomics
Statistics
Transcriptomics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
Cancer Genomics Cloud / 7 Bridges
Cancer Imaging Program (CIP)
Cancer Moonshot
CBIIT
CCR
CCR Genomics Core
CCR Single Cell Analysis and Sequencing Facilities
CDSL
Containers and Workflow Interest Group (CWIG)
Data Science
Data Science Seminar Series
Data Sharing and Reuse Seminar Series
Division of Cancer Prevention
Earl Stadtman Investigator Program
FNL Science and Technology Group
Frederick Faculty Seminar Series
Geospatial Analysis
HPC Biowulf
Laboratory of Cell Biology (LCB)
Long-read and Long-range Sequencing Scientific Interest Group
Molecular Discovery Seminar Series
Nanostring Technology
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI CCR Liver Cancer Program (LCP)
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI Genomic Data Commons
NCI Rising Scholars: Cancer Research Seminar Series
NCI SS/SC
NCI’s Single Cell Analysis Facility
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIA Artificial Intelligence Lecture Series
NIAID
NIAID Bioinformatics and Computational Biosciences Branch
NICHD
NIDA
NIDCR
NIH
NIH HPC
NIH Library
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES
NIH Training Library
NIH.AI
OD/Office of Intramural Research (OIR)
Office of Cancer Clinical Proteomics Research
Office of Extramural Research (OER)
Office of Science Policy (OSP)
Qlucore
Scientific Library at Frederick
SeqSPACE Webinar Series
SIG
Single Cell Users Group
SITC-NCI Computational IO Series
Systems Biology Interest Group
The NIH Generalist Repository Ecosystem Initiative (GREI)
The NIH Metabolomics Interest Group
William E. Paul Lecture
Past & Future Events
All
Only Past Events
Only Future Events
february
07feb9:00 am12:00 pmDeep Learning by Example on Biowulf - Class #6
Event Details
This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per
more
Event Details
This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per class. Class #6 will focus on on Graph Convolutional Networks, handling imbalanced data and their application to classification of cancer types.
Expected knowledge: Basic Python, Basic Linux/Unix.
This class is part of a series, but each class is stand-alone. The class will be webcast and recorded. Handouts will be made available one day prior to the class.
Instructor: Gennady Denisov (NIH HPC staff)
For inquiries email staff@hpc.nih.gov
Time
(Tuesday) 9:00 am - 12:00 pm
Location
Online
Organizer
NIH HPC
21feb11:00 am12:00 pmAI-Driven Imaging Biomarkers in Genitourinary CancersJOIN WEBEX MEETING
Event Details
Please plan to attend the Earl Stadtman Investigator Program search seminar by:
more
Event Details
Please plan to attend the Earl Stadtman Investigator Program search seminar by:
Stephanie Harmon, Ph.D.
Molecular Imaging Branch (MIB), CCR
hosted by the MIB
Dr. Harmon is a Staff Scientist in the MIB whose broad research interests include quantitative imaging biomarkers, artificial intelligence applications in medical imaging, and data-driven modeling of cancer treatments and outcomes.
For additional information on this seminar, please contact Philip Eclarinal at eclarinalpc@nci.nih.gov.
Meeting Link
JOIN WEBEX MEETINGTime
(Tuesday) 11:00 am - 12:00 pm
Location
Online
Organizer
CCR
march
15mar12:00 pm1:00 pmHands On Virtual Lab: Machine Learning
Event Details
This virtual hands-on workshop explores the fundamentals of machine learning using MATLAB. The participants will be introduced to machine learning techniques to quickly explore data, use classification and regression apps
Event Details
This virtual hands-on workshop explores the fundamentals of machine learning using MATLAB. The participants will be introduced to machine learning techniques to quickly explore data, use classification and regression apps to interactively train, compare and tune a model, and optimize the model using hyperparameter tuning. The participants will also learn how to get started with deep learning in MATLAB for data preparation, design, simulation, and deployment of deep neural networks. This is an introductory level class.
Register Here
RegisterTime
(Wednesday) 12:00 pm - 1:00 pm
Location
Online
Organizer
NIH Library
