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Please join the Intel Neuromorphic Research Community on November 2nd and 3rd, 2022 to start building the future.

An explosion of Lava!  In case you haven’t heard, Lava has made tremendous progress over the last few releases. It’s now possible to develop a wide range of networks for Loihi 2, from feed-forward sparse DNNs to optimization solvers. Join us for our next INRC workshop to get hands-on with Loihi 2 and Lava and connect with other leading researchers. This upcoming event will provide members of the INRC the latest insights, analysis, and outlook on neuromorphic computing.

Questions or feedback? Email inrc_interest@intel.com or leave a comment below.

Submit your Registration:

Panel
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Register for the Fall 2022 INRC Workshop

Mark your calendar:

View file
nameFall 2022 INRC Workshop - Save-the-Dates.ics

Meeting Links for INRC Members - Available Nov 1:

Fall 2022 INRC Workshop - Meeting Links

Pre-Workshop

Before the Workshop begins, Intel Labs and contributors to the Lava framework will share new tutorials and updated documentation. The INRC team in Intel Labs will also host two dedicated support sessions on Tuesday, November 1st to help you Join the INRC and Access Intel Loihi Hardware.

Two Day Virtual Workshop

The workshop will run Wednesday and Thursday and include virtual sessions in Microsoft Teams on a variety of neuromorphic application development topics. Most sessions will be recorded and recordings will be available within a few days after the session.

Special guests

  • Vijay Reddi (Harvard) - a founder of the MLCommons and the MLPerf benchmark

  • Wolfgang Maass (TU Graz) - sharing new ideas on local prediction-based learning

In-Person Bootcamps

Intel Labs will hold free, in-person training events at several Intel locations. These events will offer direct collaboration with Intel researchers, intensive support to define and launch new INRC projects, and the ability to run models directly on Kapoho Point systems. Potential bootcamp locations are:

  • Munich, Germany

  • Santa Clara, Northern California, USA

  • Hillsboro, Oregon, USA

If you’d like to attend, submit your registration as soon as possible to receive an invitation.

Session Schedule

Start (PDT)

End (PDT)

Host

Title

Tuesday, November 1st

8:00

9:00

Timothy Shea

Getting Ready: Using Loihi in the Cloud

9:05

10:00

Timothy Shea

Getting Ready: Joining the INRC

Wednesday, November 2nd

8:00

9:30

Mike Davies

Loihi Introduction
Tim Shea, Intel
Garrick Orchard, Intel
Jon Tse, Intel

9:35

10:30

Andreas Wild

https://intel-ncl.atlassian.net/wiki/spaces/INRC/pages/1831174188/Lava+Introduction

10:35

11:30

Sumedh Risbud

/wiki/spaces/INRC/pages/1831370786
Narayan Srinivasa, Intel
Philipp Stratmann, Intel
Ashish Rao Mangalore, Intel & TUM

11:35

12:15

Mathis Richter

/wiki/spaces/INRC/pages/1835597825

12:20

13:00

Garrick Orchard (Deactivated)

https://intel-ncl.atlassian.net/wiki/spaces/INRC/pages/1831960586/Understanding+uCode+Neurons+in+Loihi+2

Thursday, November 3rd

6:05

7:00

Yulia Sandamirskaya (Deactivated)

/wiki/spaces/INRC/pages/1831632909

Florian Walter, TUM
Tobias Fischer, QUT
Elishai Ezra Tsur, Open University of Israel

7:05

8:0030

Danielle Rager (Deactivated)

/wiki/spaces/INRC/pages/1831632916

Elvin Hajizada, Intel and TUM
Wolfgang Maass, TU Graz

8:05358

9:5000

Philipp Plank

https://intel-ncl.atlassian.net/wiki/spaces/INRC/pages/1831763985/Improve+your+paper+with+proper+performance+profiling+for+Loihi+2

89:5005

9:3045

Brian Anderson (Deactivated) Building benchmarks for neuromorphic hardware

Benchmarks: An Intel Challenge + Seeding an MLPerf-like Effort

Jonathan Timcheck, Intel
Vijay Reddi, Harvard

9:3545

10:0010

Carlo Michaelis

Brian2Lava Demo

10:0515

11:0045

Sumit Bam Shrestha

https://intel-ncl.atlassian.net/wiki/spaces/INRC/pages/1831731217/Lava-DL%3A+Train+and+run+faster+and+more+accurate+deep+SNNs+for+Loihi+2
Jonathan Timcheck, Intel

11:0550

12:0050

E Paxon Frady (Deactivated) Developing a vector symbolic framework for programming neuromorphic systems

/wiki/spaces/INRC/pages/1831534619

Friedrich Sommer, Intel