Re: [External]Enterprise Neurosystem Activity Update - 5/22 (Satellite Data Workstream)
by Lisa Caywood
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Thanks, Lisa
On Tue, Jun 21, 2022 at 9:06 AM <Ravi.P.Sinha(a)ril.com> wrote:
> Hi Bill,
>
> Congratulations for such a great progress on every front. I have lots of
> expectation from Enterprise Neurosystem. Thanks a lot for joining nGRG,
> which is a new research initiative from ORAN on 6G and beyond. I see a lot
> of synergy and surely see a set of opportunities to collaborate between
> these two SDOs. AI/ML , Native security , next generation service verticals
> are some of the areas of interest between these two SDOs to explore
> collaboration.
>
> Best Regards
>
> Ravi Sinha
>
>
>
> *From:* Bill Wright <bwright(a)redhat.com>
> *Sent:* Monday, June 20, 2022 11:08 PM
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> *Subject:* [External]Enterprise Neurosystem Activity Update - 5/22
> (Satellite Data Workstream)
>
>
>
> *Caution:* The e-mail below is from an external source. Please do not
> open attachments or click links unless this email comes from a known sender
> and you know the content is safe.
>
>
>
>
> Hi all,
>
>
>
> Please find enclosed the latest update on Enterprise Neurosystem activity.
>
>
>
> *Satellite Data Working Group and PoC: *We had a number of meetings with
> Tomás Acuña, CTO and Co-founder of AgroSpace and Bloom Alert. He was
> referred to the community by Abrosio Yobanolo del Real at the UNFCCC TEC. T
> omás has joined the community and initiated a working group and PoC,
> which was accepted via board vote. His proposal follows:
>
>
>
> *Working Group Scope:* Collaborative group focus on remote sensing
> solutions to tackle challenging aspects related with climate change,
> security awareness and optimize the use of natural resources.
>
>
>
> *Project: *Remote Sensing - Marine Litter / Pollution
>
>
>
> a) Expected Output
>
> - Open source software to detect marine debris using ML&AI and
> public/private sensors.
>
> - Open data to calibrate and validate algorithms related to marine debris.
>
> b) Milestones
>
> - Short Term: Discuss general needs for centralizing the scope of this
> group. Connect with further researchers in the field (e.g. IOOC-RSML
> <https://ioccg.org/co-chairs-rsml/>, Ocean CleanUp, etc.).
>
> - Medium Term: Define 2-3 prototype studies to exemplify the scope of the
> working group and add the code to GitHub.
>
> - Long Term: Establish cooperative connection with public (NASA/ESA) and
> private (PLANETS/DigitalGlobe/etc.) organizations to enhance our capacity
> to monitor key sites that are highly polluted, which decrease the value of
> pristine ecosystems and cause damage to wildlife.
>
>
>
> In addition, we met with Yara Mohajerani, Co-founder and CEO of EnvAI, and
> Tharshi Srikannathasan, his Co-founder and CTO, who was referred to us by
> board member Vish Hari. Yara and Tharshi have also joined the community,
> and Yara suggested the following projects as additional areas of focus for
> this new working group. This proposal was also approved by board vote.
>
> · Immediate term: Using GRACE <https://gracefo.jpl.nasa.gov/>(Gravity
> Recovery and Climate Experiment) data to quantify water scarcity through
> direct mass change. The basic framework is in place, so this should be a
> straightforward proof point (e.g.
> https://yaramohajerani.github.io/dynamic_mascons/).
>
> · Intermediate term: Using high resolution surface displacement data
> from differential interferometric synthetic-aperture radar data with
> existing automated tools that are in place to assess environmental risk
> such as ground subsidence as well as infrastructure. Relevant work:
> https://www.nature.com/articles/s41598-021-84309-3
>
> · Long term: More ambitious project - work in synergy with Tomas' project
> to provide an automated early warning system for harmful algal blooms, by
> providing an ML framework to classify phytoplankton species based on
> microscopic imagery from floating cytobots, and plugging that information
> into ecosystem predictive models (existing contacts). The real bottleneck
> is the cost of measuring equipment, but worth exploring. Important note:
> This requires more expertise than just what we can provide, but we can help
> with the ML component and bring in existing contacts at MIT and UC Santa
> Cruz to provide input for the modeling and measurement platforms,
> respectively. Also contingent on Tomás' input.
>
>
>
> *Central Intelligence Working Group*
>
> -
> - The Self-Defined Digital Asset catalog development continues, and
> the next development milestones are set for completion in 8/22.
> - The SMC2022 paper on Self-Describing Digital Assets was submitted,
> and the paper is now in the review process. This is for presentation at
> the Smoky Mountains Computational Sciences and Engineering Conference
> (August 23-25, 2022), and the notification date for acceptance is 7/19.
> - Josh Purcell has proposed incorporating his team's work at Redpanda
> (re. event driven systems) into the SD Catalog development effort. He will
> return with a related update during the next workstream meeting.
> - Tong Zhang will arrange a presentation to the working group by a
> colleague at Intel, who is working on a Federated AI project.
> - We had a meeting with community member Elias Castro Hernandez of
> Microsoft Azure. He indicated the Azure team is becoming more interested in
> open source platforms, and may be inclined to use our code base as our
> development matures. We will set up another call with Elias, to better
> understand their requirements.
>
>
>
> *Secure AI Connectivity Fabric Workstream*
>
> - A number of integration proof points have been targeted, including
> the Satellite Data PoCs, and discussions with Ryan Coffee and Omar
> Quijano/Stanford SLAC on use cases.
> - Sanjay Aiyagari has updated the home page of the group wiki to
> indicate the names of all the members, per the requirements of our
> Governance documents. He has also placed the recent White Paper up on the
> wiki - if anyone has feedback, please forward this to Sanjay.
>
>
> https://github.com/Enterprise-Neurosystem/Secure-AI-Connectivity-Fabric/w...
>
>
>
>
>
> *Telco Vertical Development Track*
>
> - O-RAN Next Generation Research Group (nGRG): This is a new
> organization in O-RAN dedicated to 6G research and future
> architectures, led by our Telco workstream chair Ravi Sinha. He is
> interested in establishing a development link between our organizations,
> and five areas of research will be initiated in this new group - 1) 6G Use
> Cases and Gap Analysis, 2) 6G O-RAN Architecture, 3) Native AI and Cross
> Domain AI, 4) Native Security, and 5) R&D Platforms. Given the widespread
> support of O-RAN in the telco industry, creating a bridge between EN and
> this research team will strengthen our efforts in this area. Participants
> include Reliance Jio, Intel, NVIDIA, AT&T, Ericsson, Samsung, CTC, CMCC,
> Qualcomm, Rakuten and others.
> - Transport for satellite data: We had a discussion on using telco
> networks as the communication layer for a large scale Neurosystem
> infrastructure, involving satellite/IoT data and sensors, and Edge/Core
> compute.
>
>
>
> *Acoustics AI / Bee Population PoC*
>
>
>
> Ryan Coffee, Leo Hoarty and Dennis O'Connell have been working on
> preparing the PoC, with input from Dr. Noah Wilson-Rich of Best Bees. Leo
> has completed the design of the beehive microphone system, and now has both
> block diagrams and schematics completed. A prototype microphone has also
> been created by Leo for initial hive testing. Once more is learned from the
> initial testing, printed circuit board designs will be completed. On the
> software side, the system is still manually driven until a better
> understanding of the workflow is gained from mic to ML. Following that, a
> control system will be coded to largely automate the data acquisition
> process.
>
>
>
>
>
> *Summer Intern*
>
>
>
> Ryan Coffee has introduced Ella Litsur, an inbound summer intern who will
> be working on a new AI Acoustics PoC in Stanford SLAC's data center. She
> will be using the AI Acoustics code base created by community member David
> Wood, and working under our community name while engaged at SLAC. She will
> be building this use case with Ryan and David's guidance - a great
> development in terms of our community's partnership with SLAC, and our
> education and AI training charter.
>
>
>
>
>
> Please feel free to reach out to me directly if you have any
> questions, and have a great week!
>
>
>
> 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
>
>
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