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EVENTS & ACTIVITIES
June 26, 2019: SfN Virtual Conference: Machine Learning in Neuroscience — Fundamentals and Possibilities
To access the recordings, you will still need to register (SfN members have a reduced rate)
July 12, 2019: Machine Intelligence in Healthcare
https://ncats.nih.gov/expertise/machine-intelligence#workshop. This website features materials from the workshop (bios, agenda, meeting breakdown, slides, etc.), a link to the recorded videocast, and an Executive Summary of the proceedings.
October 1, 2019: Artificial Intelligence Healthcare - From Prevention & Diagnostics to Treatments (AI-PDT),
VIDEOCAST AVAILABLE: https://videocast.nih.gov/summary.asp?live=34643
October 4, 2019, 3:15pm ET: NVIDIA -- 2019 ML-MSM Pre-meeting Webinar - NVIDIA
October 8, 2019 - Funding Opportunity: National Artificial Intelligence (AI) Research Institutes, Application Due Date: January 28, 2020
News Release 19-021 - NSF leads federal partners in accelerating the development of transformational, AI-powered innovation New funding opportunity anticipates $200 million in long-term investments in AI research and education over the next 6 years: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505686; https://www.nsf.gov/news/news_summ.jsp?cntn_id=299329
October 8, 2019, 1:15pm ET: DOE Programs -- 2019 ML-MSM Pre-meeting Webinar - DOE Programs
October 22-23, 2019 "AI for Science" town halls, organized by DOE National Laboratories
Washington DC AI for Science Town Hall, October 22-23, 2019
To register for DC, click here, DRAFT Agenda: Click here
Questions for DC? Contact: DC-AI-TownHall@ornl.gov
October 24-25, 2019: NVIDIA informational session at the IMAG 2019 ML-MSM Meeting
November 4-6, 2019 - NVIDIA GTC (GPU Technology Conference) – Washington DC @ Ronald Regan Building
- Use code: NVTUANV: 25% discount for non-gov employees, Free admission for Gov Employees
December 13, 2019 - NIH Advisory Committee to the Director, https://www.acd.od.nih.gov/meetings.html
ACD Working Group on Artificial Intelligence (Final Report)* (PDF, 923 KB)
- NIH ACD Meeting 12/13/19, videocast posted here by date: https://videocast.nih.gov/PastEvents (start at 1:02)
- Listen to Linda Griffith’s question on MSM at 1:45 (1 hour 45 min) https://videocast.nih.gov/PastEvent
REPORTS & PAPERS
1. New York Times, October 23, 2019: Google Claims a Quantum Breakthrough That Could Change Computing, https://www.nytimes.com/2019/10/23/technology/quantum-computing-google.html --referenced Nature Paper: https://www.nature.com/articles/s41586-019-1666-5
2. The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
3. DOE Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence Foundational research (3 major use cases)
- Brochure - 4 pages: https://www.osti.gov/biblio/1484362
- Full report - 109 pages: https://www.osti.gov/biblio/1478744
- Nathan Baker's slides,
- MSM YouTube link to Nathan Baker's presentation
TALKS and SHORT COURSES
NVIDIA - Intro to Deep Learning Talk at NCI
Predicting Adolescent Idiopathic Scoliosis using Data Mining Method (Machine Learning)
Lecture: Introduction to mechanistic data-driven methods for engineering, mechanical science and mechanics of materials: difficulties in purely data-driven approaches for machine learning and some possible remedies
Prof. Wing Kam Liu, Walter P. Murphy Professor
Director of Global Center on Advanced Material Systems and Simulation (https://camsim.northwestern.edu/)
Northwestern University, w‐liu@northwestern.edu
USNCCM15 Short Course: Machine Learning Data‐Driven Discretization Theories, Modeling and Applications
Summary and Future Work
W.K. Liu (Northwestern University), George Karniadakis (Brown University), Paris Perdikaris (University of Pennsylvania), C.T. Wu (LSTC), Zeliang Liu (LSTC)
OTHER RESOURCES:
Google TensorFlow case studies:
- Deep learning for detecting diabetic eye disease. While working on this model, the team discovered that images of the eye can also very accurately predict indicators of cardio vascular health.
- GE using TensorFlow for improving MRI imaging
- Using the Nucleus library with TensorFlow for DNA sequencing error correction
- Colab that explains the implementation
- Detecting breast cancer with deep learning and then applying deep learning to metastatic breast cancer detection, (detailed article)
TensorFlow background on the Keras high level API, and documentation for getting started.