Editing Academia Industry Engagement

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==	Academic and Industry Engagement - Workstream #10==
[https://www.opencompute.org/wiki/Time_Appliance_Project Back to Time Appliances Project's wiki]

==Goal==

The Time Synchronization Industry-Academia Workstream (TSIAW) brings together researchers and industry practitioners to discuss and solve challenging problems in time synchronization of connected devices and applications.

==Objectives==
===Bridge the gap between theory and practice===

The TSIAW will act as a bridge between academic research and industry needs. By bringing together researchers and practitioners, the workstream will ensure that research efforts address real-world challenges faced by the ever-growing and complex data center and edge communication networks and devices by developing robust, reliable and scalable novel solutions


===Synchronization Data for Decision Makers=== 

Research and develop the data required by data center decision makers, on how to use precise time to make data center and edge applications (AI, Databases, Microservices, etc.) or portions of that software run 2x to 1000+x better in performance, power, latency and/or cost when compared to unsynchronized solution.


===Develop Time Synchronization Projects=== 

The TSIAW will expose projects for academia that will have impact on data center and edge technologies.  When possible, TSIAW will help facilitating the research.  When possible, making a community of time synchronization experts available to Academia and Industry to improve applications through time synchronization.


===Advance the field of time synchronization===

The TSIAW will strive to push the boundaries of time synchronization research by facilitating collaboration between industry and academia. This will involve identifying critical research areas, promoting joint research projects, and disseminating findings and solutions through conferences, workshops, repositories, and publications.  (First virtually) (Not focused on crazy precise, more on applications)


===Foster a dynamic, vibrant and knowledgeable community of time synchronization experts===

The TSIAW will create a platform for communication and collaboration among industry professionals, academics, and researchers working on time synchronization

==Projects==

{| class="wikitable"
|- 
!
! Start Date !! End Date !! Call For Action !! Statement !! Introduction Slides !! Wiki
|- 
| '''#1'''
|  5/1/2024
|  Open
| Artificial Intelligence / Machine Learning College Project 
|  A Precisely Synchronized Datacenter Would Improve Overall Performance of Distributed Artificial Intelligence and Machine Learning
| [https://drive.google.com/file/d/15bpUlr-q7Afq8RV586CTfsbRdfwEWU75/view?usp=sharing Slides]
| 
|-
|}

==Project Team==
:- Lead: [mailto:Dan.Biderman@intel.com Dan Biderman] (Intel)
:- Lead: [mailto:helbakoury@gmail.com Hesham Albakoury] (Individual)

==Mailing List and Calendar details==
* [https://ocp-all.groups.io/g/OCP-TAP-TSIAW https://ocp-all.groups.io/g/OCP-TAP-TSIAW]
* [mailto:OCP-TAP-TSIAW+subscribe@OCP-All.groups.io Subscribe]
* [mailto:OCP-TAP-TSIAW+unsubscribe@OCP-All.groups.io Unsubscribe]

==Monthly Meeting==
First week of every month. The actual day and time of the meeting will be determined based on the result of the Doodle Poll 

Zoom Details
* [https://opencompute-org.zoom.us/j/81088740168?pwd=Nm05RmJPL0l1c0hqWUJCeFZOQUlIdz09 Zoom Link]
* Meeting ID: 810 8874 0168
* Passcode: 760037

==Recordings from Past calls==
{| class="wikitable" 

|- 
! Date !! Topics & Recordings !! Speakers !! Slides 
|-
| July 01, 2024
| [https://www.youtube.com/watch?v=6BpGILNzciQ Quantum Time Transfer]
| David Mitlying
| [https://www.dropbox.com/scl/fi/uv2xfyodv7mwjmgptnds9/Xairos_TSIAW-Presentation_1-July-2024_final.pdf?rlkey=k79d8engo0814utyukm7lto5b&dl=0 Slides]
|-
| Jun 03, 2024
| [https://www.youtube.com/watch?v=yGkm7d7W3uY TF techniques for quantum networks]
| Hesham ElBakoury, Dan Biederman (Intel)
| [https://drive.google.com/file/d/15eoPc0EtLbz4xPZP3Q1sO1WSO7ZKT1-u/view?usp=drive_link Slides]
|-
| May-1, 2024
| [https://www.youtube.com/watch?v=50MZuNsYYEs TSIAW Academic Project #1 AI/ML Performance Improvements]
| Hesham ElBakoury, Dan Biederman (Intel)
| [https://drive.google.com/file/d/15bpUlr-q7Afq8RV586CTfsbRdfwEWU75/view?usp=sharing Dan's Slides], [https://docs.google.com/presentation/d/1rsuoZZJ60BTKsQxBWaC2OFGYR6QUdNwF/edit?usp=sharing&ouid=104727018165459345315&rtpof=true&sd=true Hesham's Slides]
|-
|
|
|-