Future of the DAF Machine Learning and Artificial Intelligence Collider
Future of the DAF Machine Learning and Artificial Intelligence Collider - learn from the DAF experts and hear future opps in the field.
Overview
If Machine Learning (ML) and Artificial Intelligence (AI) with the Department of Defense is your focus with your IT/SW Development business, you are not going to want to miss this Collider. This Collider will have 5 presenters – Department of the Air Force (DAF): ML and AI experts from the Air Force Research Laboratory (AFRL, 2 presenters), Air Force Institute of Technology (AFIT), and two Defense Contractors, Galois and Mile Two – both very successful software development firms.
This Collider is a collaborative partnership between the Gem City ML group and the Small Business Hub at Wright Brothers Institute. There has been a lot of planning behind the scenes to bring everyone who attends amazing speakers and presentations to make everyone aware of the DAF future of ML and AI.
What is Gem City Machine Learning MeetUp Group?
Gem City TECH’s mission is to grow the local industry and the community by providing a centralized destination for technical training, workshops and collaborating. We are the destination for those who are passionate about a wide range of technology topics, and we provide a community space that encourages diversity, knowledge sharing, and collaboration through meetups, workshops, collaboration sessions and conferences.
Presenters and their topic:
- Evelyn Boettcher, Principal, DiDacTex, LLC & Senior Scientist, BlueHalo, LLC - Gem City Machine Learning MeetUp Group – Presentation focus: Gem City ML Group Introductions and Moderator of the Collider. Gem City ML is part of Gem City TECH’s family of user communities. Our goal is to have a space where people can present and learn new ML/AI ideas, ask for help on problems they are working on and meet new people. We meet every THIRD Thursday at the Innovation Hub at Dayton’s Downtown Arcade. For more information see please go to www.gemcityml.com
- Vincent Velten, Technical Advisor for the AFRL Decision Sciences Branch, AFRL/RYAT – Presentation focus: Synthetic Data for Sensemaking Technology. Dr. Velten is currently the managing director of the tri-service OSD AI EO/IR Imagery Hub which is developing cross-service AI-based target detection and identification algorithms and is the Technical Advisor for AFRL’s Decision Science Branch. Dr. Velten made numerous contributions to Automatic Target Recognition (ATR) technology span over 41-years. From pioneering ATR algorithm evaluation to doing early research into optical, thermal, and radar target signature estimation technology, subsequently evolved into the multi-service EO signature (MuSES) and Xpatch codes. They are now the DoD-standard codes for thermal IR and radar target signature prediction. Dr. Velten has led SAR advancement both theoretical and experimental. He has derived the first application of invariant theory to radar sensors in 1D and 2D for SAR and was a virtual for MSTAR data set to be created and released. From 2014 to the present Dr. Velten assembled and led the Sensors Directorate Machine Learning (ML) team which has produced internationally recognized AI research.
- Matt Jacobsen, AFRL/RX, Director, Hanger 18 – Presentation focus: The Air Force’s Software Factories support the mission to make the Digital Air Force a reality by supporting our Airmen with Software Enterprise Capabilities. Hanger 18 is a Dayton area Software Factory. Hangar 18 delivers software and data capabilities to the Digital Engineering and Acquisition community, as well as others seeking innovative and agile solutions. Founded by the Air Force Research Laboratory and the Air Force Institute of Technology, we leverage a federation of digital teams and assets to engage in solutions engineering, DevSecOps, workforce development, education, training, and community engagement. Matt Jacobsen from Hanger 18 will talk about how they support this mission.
- Dr. Shauna Sweet, Principal Scientist, Galois – Presentation focus: Galois develops technology to guarantee the trustworthiness of systems where failure is unacceptable. They apply cutting edge computer science and mathematics to advance the state of the art in software and hardware trustworthiness. They will talk about how they are helping to solve through ML a dod problem. Dr. Shauna Sweet will talk about her research at Galois.
- Andy Garrett, Technical Lead, ACE Hub, Mile Two – Presentation focus: The Air Force Research Laboratory’s (AFRL) Autonomy Capability Team (ACT3) is an AI Special Operations organization whose mission is to Operationalize AI at Scale for the Air Force. ACT3’s ACE is a one-stop, all-inclusive, license free, suite of closely integrated software and services that enable users to develop complex AI solutions at any scale on top of any Kubernetes cluster. Andy will be going over AFRL’s ACE tool.
The Gem City ML Group and the SB Hub hopes you can make this great Machine Learning and AI event we have pulled together, so register today!
There will be on 'optional to attend' Networking event at the Dayton Beer Company after the Collider, just a short walk from WBI - 444.
Future of the DAF Machine Learning and Artificial Intelligence Collider - learn from the DAF experts and hear future opps in the field.
Overview
If Machine Learning (ML) and Artificial Intelligence (AI) with the Department of Defense is your focus with your IT/SW Development business, you are not going to want to miss this Collider. This Collider will have 5 presenters – Department of the Air Force (DAF): ML and AI experts from the Air Force Research Laboratory (AFRL, 2 presenters), Air Force Institute of Technology (AFIT), and two Defense Contractors, Galois and Mile Two – both very successful software development firms.
This Collider is a collaborative partnership between the Gem City ML group and the Small Business Hub at Wright Brothers Institute. There has been a lot of planning behind the scenes to bring everyone who attends amazing speakers and presentations to make everyone aware of the DAF future of ML and AI.
What is Gem City Machine Learning MeetUp Group?
Gem City TECH’s mission is to grow the local industry and the community by providing a centralized destination for technical training, workshops and collaborating. We are the destination for those who are passionate about a wide range of technology topics, and we provide a community space that encourages diversity, knowledge sharing, and collaboration through meetups, workshops, collaboration sessions and conferences.
Presenters and their topic:
- Evelyn Boettcher, Principal, DiDacTex, LLC & Senior Scientist, BlueHalo, LLC - Gem City Machine Learning MeetUp Group – Presentation focus: Gem City ML Group Introductions and Moderator of the Collider. Gem City ML is part of Gem City TECH’s family of user communities. Our goal is to have a space where people can present and learn new ML/AI ideas, ask for help on problems they are working on and meet new people. We meet every THIRD Thursday at the Innovation Hub at Dayton’s Downtown Arcade. For more information see please go to www.gemcityml.com
- Vincent Velten, Technical Advisor for the AFRL Decision Sciences Branch, AFRL/RYAT – Presentation focus: Synthetic Data for Sensemaking Technology. Dr. Velten is currently the managing director of the tri-service OSD AI EO/IR Imagery Hub which is developing cross-service AI-based target detection and identification algorithms and is the Technical Advisor for AFRL’s Decision Science Branch. Dr. Velten made numerous contributions to Automatic Target Recognition (ATR) technology span over 41-years. From pioneering ATR algorithm evaluation to doing early research into optical, thermal, and radar target signature estimation technology, subsequently evolved into the multi-service EO signature (MuSES) and Xpatch codes. They are now the DoD-standard codes for thermal IR and radar target signature prediction. Dr. Velten has led SAR advancement both theoretical and experimental. He has derived the first application of invariant theory to radar sensors in 1D and 2D for SAR and was a virtual for MSTAR data set to be created and released. From 2014 to the present Dr. Velten assembled and led the Sensors Directorate Machine Learning (ML) team which has produced internationally recognized AI research.
- Matt Jacobsen, AFRL/RX, Director, Hanger 18 – Presentation focus: The Air Force’s Software Factories support the mission to make the Digital Air Force a reality by supporting our Airmen with Software Enterprise Capabilities. Hanger 18 is a Dayton area Software Factory. Hangar 18 delivers software and data capabilities to the Digital Engineering and Acquisition community, as well as others seeking innovative and agile solutions. Founded by the Air Force Research Laboratory and the Air Force Institute of Technology, we leverage a federation of digital teams and assets to engage in solutions engineering, DevSecOps, workforce development, education, training, and community engagement. Matt Jacobsen from Hanger 18 will talk about how they support this mission.
- Dr. Shauna Sweet, Principal Scientist, Galois – Presentation focus: Galois develops technology to guarantee the trustworthiness of systems where failure is unacceptable. They apply cutting edge computer science and mathematics to advance the state of the art in software and hardware trustworthiness. They will talk about how they are helping to solve through ML a dod problem. Dr. Shauna Sweet will talk about her research at Galois.
- Andy Garrett, Technical Lead, ACE Hub, Mile Two – Presentation focus: The Air Force Research Laboratory’s (AFRL) Autonomy Capability Team (ACT3) is an AI Special Operations organization whose mission is to Operationalize AI at Scale for the Air Force. ACT3’s ACE is a one-stop, all-inclusive, license free, suite of closely integrated software and services that enable users to develop complex AI solutions at any scale on top of any Kubernetes cluster. Andy will be going over AFRL’s ACE tool.
The Gem City ML Group and the SB Hub hopes you can make this great Machine Learning and AI event we have pulled together, so register today!
There will be on 'optional to attend' Networking event at the Dayton Beer Company after the Collider, just a short walk from WBI - 444.