Together with the IEEE Circuits and Systems Society and the IEEE Electron Devices Society, IBM Research is hosting the 4th AI Compute Symposium virtually.

The IBM and IEEE sponsored Symposium will bring together dreamers, thinkers, and innovators in cutting-edge research for a two-day forum to explore AI Compute challenges and future research directions. This symposium is free of charge.

The symposium will have eminent invited speakers as well as a student poster session. Students are encouraged to submit poster abstracts during registration. Top posters will be invited to submit long-form papers to a special issue IEEE journal. A best poster will also be awarded.

This event is an initiative of the IBM Academy of Technology.








Topics to explore

Cloud / Data Center AI Acceleration
AI at the Edge / AI in IoT
Analog Computing and Emerging Devices for AI
Neuromorphic Architectures

In Memory Computing
AI Algorithms & Applications
Approximate Computing



Distinguished invited speakers (accepted so far)

  • Venkat Thanvantri, Cadence
  • Evgeni Gousev, Qualcomm
  • Song Han, MIT
  • Teo Laino, IBM
  • Philip Wong, Stanford
  • Hoi-Jun Yoo, KAIST
  • Pradeep Dubey, Intel
  • Steve Pawlowski, Micron
  • Gunnar Hellekson, Red Hat
  • SukHwan Lim, Samsung Electronics
  • Tamar Eilam, IBM












Poster abstracts (2 pages maximum) are invited that address advanced results in AI Compute topics. Authors of the accepted posters will be requested to produce a short video describing the poster.

Abstract submission: 21 September 2021
Notification: 28 September 2021
Symposium: 13-14 October 2021


Winners of the 2021 Poster Sessions


Poster Track 1 - AI Architectures and Algorithms

  1. Rabin Acharya (University of Florida)
    InfoNEAT: Information theoretic-based Neuroevolution of Augmenting Topologies for Developing Compact and Quantized Neural Networks
  2. Wojciech Romaszkan (University of California, Los Angeles )
    Precision-Tunable All-Digital Stochastic Computing Neural Network Inference Accelerator
  3. Kevin Herisse (IEMN - Junia)
    Mixed-Signal In-Memory Multi-bit Matrix-Vector Multiplication

Poster Track 2 - AI Systems and Applications

  1. Ankita Paul (Drexel University)
    Energy Efficient Detection of Respiratory Anomaly using Spiking Neural Networks
  2. Shamir Khandaker (University of Louisiana at Lafayette )
    Automated Reduction of Irrelevant Features of a Text Classifier
  3. Madeleine Abernot (LIRMM, University of Montpellier, CNRS )
    Mobile Robot Obstacle Avoidance with Oscillatory Neural Networks on FPGA

Poster Track 3 - Emerging Hardware for AI Compute

  1. Murat Onen (MIT)
    CMOS-compatible Protonic Programmable Resistor based on Phosphosilicate Glass Electrolyte for Analog Deep Learning
  2. Rubab Ume (SUNY Polytechnic Institute-Albany)
    Te-free Group III-Sb Binary Alloys Single Layer Test Cells for Multilevel PCM Cells
  3. Adithi Krishnaprasad (University of Central Florida)
    Implementation of Boolean logic using ultra-low variability MoS2 synapses and MoS2 LIF neurons



1 - AI Architectures and Algorithms

2 - AI Systems and Applications




Advisory Committee

  • Amara Amara (IEEE CAS)
  • Fernando Guarin (GF)
  • Hai Li (Duke University)
  • Yong Lion (IEEE CAS)
  • Ravi Todi (IEEE EDS)
  • IBM Academy of Technology
  • John Handy Bosma (IBM)

Poster Session Chairs

  • Krishnan Kailas
  • Jin-Ping Han
  • Kaoutar El Maghraoui

General Chair

  • Rajiv Joshi

Program Committee

  • Matthew M. Ziegler
  • Arvind Kumar
  • Kaoutar El Maghraoui
  • John Rozen
  • Krishnan Kailas
  • Jin-Ping Han
  • Xin Zhang
  • Anna Topol

Publicity Chairs

Registration Chair

ThinkLab/Auditorium Event Head

  • Jenna Gray
  • George Tulevski


  • Jim Fuhs (Fusion Marketing)

IBM Web Support
(IBM Research Europe)

  • Linda Rudin (Zurich, Switzerland)