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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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