[Community] Re: Enterprise Neurosystem Activity Report 6/22 (United Nations & State Department)

And as mentioned, here's the VentureBeat Transform conference session. If you skip to 20:00, the Enterprise Neurosystem is discussed. https://venturebeat.com/2022/07/21/intel-wayfair-red-hat-and-aible-on-get... Bill On Fri, Jul 22, 2022 at 1:05 AM Bill Wright <bwright(a)redhat.com&gt; wrote: > Hi all, > > Here's the latest update on Enterprise Neurosystem activity: > > *United Nations* > > We had a recent call with the leadership of the United Nations Technology > Executive Committee for the UNFCCC (Paris Agreement). We are now > building deeper engagement and collaboration, and have been invited to > submit proposals for Enterprise Neurosystem AI presentations at UN events > in 2022 and 2023. > > *US State Department* > > We have been in contact with the US State Department representative to > the UNFCCC TEC. He requested a community summary and proposal for > climate engagement areas in various national and international > organizations. Ryan Coffee/Stanford SLAC is our Government representative > on the board, and crafted the bulk of the proposal (enclosed). > > *Satellite Data* > > Tomás Acuña, Yara Mohajerani and Tharshi Srikannathasan have been in > conversations with Josh Purcell and the SD Catalog/Central Intelligence > group regarding integration of existing and proposed satellite data > production models (see update in CI section below). John Overton > recently contributed a concept for a new data architecture for planetary > mapping. > > *Acoustics AI / Bee Population PoC* > > The first demonstration of the sensor is complete with initial data > captured, and preliminary analysis is underway - Leo Hoarty's sensor array > design is now a reality, and Ryan Coffee's honeybee hive in Portola > Valley and a counter-example industrial computing cluster at SLAC served as > the initial test locations. Leo will provide a design draft of the modular > sensor array so the sensor can be easily replicated at low cost with > varying degrees of component sophistication, such that this solution > inspires broad adoption and community co-development, with a focus on > underserved communities and developing nations. Dr. Noah Wilson-Rich at > Best Bees has offered an urban hive to the community for comparative > analysis, and Coffee is working with collaborators to include international > participation in Mexico City and Barcelona to provide examples of > comparative counterpoints as well as iterating the partner codesign > principle. Coffee has also begun discussions of leveraging private sector > support for computer science in minority-serving institutions > that in fact improve the comparative results across US urban environments > and Native American tribal agriculture environments. Pictures and a video > of the sensor and hive are enclosed. > > *AI For Science Working Group* > > In addition to supporting the bee project, Ryan Coffee has deployed the > AI Acoustic sensor in his data center at Stanford, capturing IT hardware > sound signatures and anomaly detection related to a new research thread in > hardware failure forecasting. Such failure forecasting is very closely > related to a DOE-funded effort in Tokamak fusion instability forecasting. > As a demonstration of the power of cross-domain federation of machine > learning, Coffee has proposed a comparative study across this industrial > acoustic data to honeybee acoustic communication, the plasma fluctuations > in the DIII-D Tokamak reactor, and classical music in the highest frequency > ranges. The common patterns across these seemingly disparate areas are > hypothesized to aid the generalization of collectively trained foundation > models, as well as exposing and exercising the privacy and security > concerns in so-called Federated Machine Learning. > > *Central Intelligence Working Group* > > Last week, David Wood gave an overview of the Java CLI, and we discussed > the possibility of including the catalog's publish feature in that project. > The CLI has many features that rely on Java, but one interesting feature > was made available via a REST service (recording of this meeting is > available in our slack channel). Josh Purcell also asked whether the models > generated by this tool would be compatible with ONNX, as this is one tool > that may facilitate making models more discoverable, and David indicated > they are not. This is good feedback, as it helps us understand the > limitations and utility of different approaches. > > In addition, Surajit and Anindita downloaded the CLI project, and now > have their dev environments working to enable code modification. Surajit > also put together a new golang-based project, pulling in third-party > projects that make creating CLIs much easier, and shared details on this > build. There has been no objection to the idea of going with a new CLI over > using the previous Java-based CLI. With that in mind, Josh and Surajit's > preference would be to use the golang project going forward. Josh believes > this will be more familiar for the group (being golang), and uses standard > tools for creating CLIs that will provide community support and a vast > array of examples. > > We also had a meeting with the Satellite working group to discuss details > on their data and model assets. We also had a broader discussion to ensure > the catalog would make these types of assets discoverable. The main > takeaways from this meeting - they validated the benefits of the sd-catalog > for their satellite projects, and also mentioned that they had other asset > types (aside from data and models) that they would consider for use in the > catalog. This was similar to David's comments, as he had other audio assets > that were critical to his projects. As workstream lead, Josh believes that > focusing on a limited amount of assets while keeping an eye towards > supporting a more generic "asset" is a good approach, so we limit the > initial scope while working towards a production release. > > *Secure AI Connectivity Fabric Workstream* > > Sanjay Aiyagari participated in the recent UOR presentation (see below) > and is now looking into incorporating UOR in the PoC with the Secure AI > Connectivity Fabric at Stanford SLAC. > > *Smoky Mountains Computational Sciences & Engineering Conference* > > The community paper submitted by Dinesh Verma/IBM Research to the SMC2022 > on Self-Describing Digital Assets was accepted, and the conference will > take place in Kingsport TN on August 23-25. Accepted papers include a > presentation at the conference, and publication in the conference > proceedings in the Springer-Verlag Communications in Computer and > Information Science (CCIS) series. > > *Telco Vertical Development Track* > > Ravi Sinha/Reliance Jio has been working to recruit new members to our > Telco group, and to build a relationship between the Enterprise Neurosystem > and the O-RAN nGRG (Next Generation Research Group). Members in the nGRG > include Reliance Jio, Intel, NVIDIA, AT&T, Ericsson, Samsung, CTC, CMCC, > Qualcomm, Rakuten and others. > > *Universal Object Reference (UOR)* > > We recently had a fascinating presentation from Alex Flom at Red Hat, who > was introduced to us by Audrey Reznik. This is based on his concept of > Universal Object Reference, a new method of identifying anything within the > known universe through bare particulars, attributes (including space and > time) and multiple dimensions. We will plan a wider community > presentation in a few weeks. > > *VentureBeat Transform 2022* > > I was invited by Steve Huels to participate in a panel discussion at the > VentureBeat Transform event. The panel was moderated by Matt Marshall, CEO > of VentureBeat, and included Fiona Tan, CTO of Wayfair, Arun Subramaniyan, > VP Cloud and AI at Intel, and Arijit Sengupta, CEO of Aible. I was asked by > Matt to describe the Enterprise Neurosystem during the session, and as a > result, we recruited a few new community members. I will provide a link > when it becomes available. > > Bill > > -- > Bill Wright > Head of AI/ML and Intelligent Edge > Global Industries and Accounts > Red Hat, Inc. > M) 415-710-5207 > https://www.openshift.com/ai-ml >