SCHEDULE

Agenda is tentative and subject to change.  All times are in MDT.

Monday, February 2

5:00 - 7:00pm  Welcome Reception

Tuesday, February 3

8:00 - 8:15 Welcome and Workshop Introduction – Art Edwards, AFRL

8:15 - 8:45 Workshop context setting – Suma Cardwell, SNL

Topic A:  Where is AI today and where do we need to go?

9:05 - 9:15 KEYNOTE

9:15 - 9:25 Continual Learning – Dhireesha Kudithipudi, UT San Antonio

9:35 - 9:45 Efficient inference and learning in recurrent neural circuits – Zeyu Yun, UC Berkeley

9:45 - 10:05 Panel Discussion

Topic B: AI at the edge/ training

10:05 - 10:25 KEYNOTE 

10:25 - 10:35 Understanding and Optimizing Quantization-enabled LLM Serving Systems: A Performance, Energy, and Quality Perspective – Yi Ding, Purdue University 

10:35 - 10:45 Spiking Neural Networks Integration in Heterogeneous Architectures with MoSAIC – Farzad Fatollahi-Fard, LBL

10:45 - 10:55 Enable Native Full-Integer Spiking Neural Network Training with Algorithm and Hardware Co-Design – Xiaoxuan Yang, University of Virginia

10:55 - 11:05 Neuromorphic Signal Processing at the Edge: Energy-Efficient SNNs for Audio Processing – Kendric Hood, Kent State University

11:05 - 11:25 Panel Discussion

11:25 - 11:35 *Break before Working Lunch Keynote* 

11:35 - 12:35 LUNCH KEYNOTE - Jim Lyke, AFRL/AFOSR

12:35 - 12:50 *Break*

Topic C: Frameworks for fundamental energetic limitations

12:50 - 1:10 KEYNOTE 

1:10 - 1:20 Development of a Practical Adiabatic Reversible CMOS (ARC) Technology for High-Performance Computing – Mike Frank, VAIRE

1:30 - 1:40 Reliable AI in Unreliable Energy-Constrained Distributed Environments – George Michelogiannakis, LBL

1:40 - 1:50 Energy-Efficient Solar Forecasting with a Neuromorphic-Bayesian State Estimation Approach, Kumar Anurag, University of New Mexico

1:50 - 2:10 Panel Discussion

Topic D:  Next-Generation Technologies

2:10 - 2:30 KEYNOTE

2:40 - 2:50 Emerging devices for Neuromorphic Computing – Yuping Zeng, University of Delaware

2:50 - 3:00 Casper: Cascading Hypernetworks- for Scalable Continual Learning – Tej Pandit, UT San Antonio

3:00 - 3:10 Neuro-Symbolic Architectures for Scalable and Energy-Efficient Computation: Opportunities and Open Challenges – Shay Snyder/Maryam Parsa, George Manson University

3:10 - 3:30 Panel Discussion

Topic X: Next-Generation Technologies -Session 2

3:30 - 3:50 KEYNOTE: Edge of Chaos and Entropy Production Minimization as Keys to Neuromorphic Computing – Stan Williams, Texas A&M University

3:50 - 4:00 Energy and Information in Open Thermodynamic Systems – Narayan Srinivasa, Intel

4:00 - 4:10 Advanced packaging for low power, weight and form factor bio-inspired sensing platform – Anastasiia Butko, LBL

4:10 - 4:20 Reshaping LLM Edge Architecture by Emerging Memory Technologies – Ramtin Zand, University of South Carolina

4:20 - 4:30 Neuromorphic Energy-Efficient Multi-Layer Learning with Compartmental Spiking Neurons – Ashish Gautam, ORNL

4:30 - 4:50 Panel Discussion

4:50 - 5:00 Day 1 closeout (Observations and Day 2 Outlook) 

5:00 - 5:30          Poster Summary Blitz (1-2 mins per poster)

5:30 - 7:30 Evening Session: RUMP Session

Hot Topics:

• Progress since last year

• New advances

• Adiabatic questions

5:30 - 7:30 Poster Session  (In parallel)

Wednesday, February 4

8:30 - 8:45 Day 2 Welcome

Topic E:  Neuromorphic Primitives and Circuit Design

8:45 - 9:05 KEYNOTE – Jennifer Hasler, Georgia Tech 

9:05 - 9:15 Time-Domain Neuromorphic Computing Circuits – Cory Merkel, Rochester Institute of Technology

9:15 - 9:25 Biological Plausibility and Energy Efficiency in Artificially Intelligent Learning Hardware – Joseph Friedman, UT Dallas 

9:25 - 9:35 Efficient Log-Domain Circuit Realization of Biologically-Plausible Neurons – Abdulkarim Alorf, Duke University

9:35 - 9:45 Biologically-Inspired Multiscale Neuromorphic Architecture – Christian O’Reilly, University of South Carolina 

9:45 - 10:05 Panel Discussion

Topic F: Novel Use-Cases for Emerging Devices

10:05 - 10:25 KEYNOTE: Integration of Efficient Sensing, Encoding, and Learning via Memristive Dynamics – Joshua Yang, University of South Carolina

10:25 - 10:35 Memristor-Based Spiking Neural Network Accelerator for Neuromorphic Computing – Qianhou Qu /Chenyun Pan, UT Arlington

10:35 - 10:45 Energy-efficient and Scalable Inferencing with Hardware Innovation – Beyond-CMOS Technologies – Guojing Cong, ORNL

10:45 - 10:55 Energy-Efficient Temporal Processing with Artificial Spin Ice Based Neuromorphic Nonlinear Vector Autoregression Machine – Ishan Thakkar, University of Kentucky

10:55 - 11:05 Hybrid Opto-electronic Integrated Encoders for Ultralow Power Data Compression – Raktim Sarma, SNL

11:05 - 11:25 Panel Discussion

11:25 - 11:35 *Break before Working Lunch Keynote*

11:35-12:35 LUNCH KEYNOTE

12:35 - 12:50 *Break*

Topic G: Beyond CMOS/ Emerging Devices and Technologies

12:50 - 1:10 KEYNOTE

1:20 - 1:30 Modeling Ferroelectric and Antiferroelectric Capacitors with Physics-Informed LSTMs – Nicholas Ramos/Hai Li, Duke University

1:30 - 1:40 Van der Waals ferroelectric tunnel junctions for next-generation logic-in-memory hardware – Cheng Gong, University of Maryland

1:40 - 1:50 First-Principles Investigation of the Resistive Switching Energetics in Monolayer MoS2: Insights into Metal Diffusion and Adsorption – Jameela Fatheema, UT Austin

1:50 - 2:10 Panel Discussion 

Topic H: Energy Consequence of Biological Systems

2:10 - 2:30 KEYNOTE 

2:30 - 2:40 Brad Aimone, SNL

2:40 - 2:50 Becket Ebitz

2:50 - 3:00 Zahid Padamsey

3:00 - 3:10 Large Multimodal Brain Models for Neuroscience and Computing – David Park/Shinjae Yoo, BNL 

3:10 - 3:30 Panel Discussion

Topic X: Advances in Neuroscience relevant to Emerging Computing (CRCNS)

3:30 - 3:50 KEYNOTE  – Garr Kenyon (Overview DOE Neuromorphic Workshop), LANL

3:50 - 4:00 Frances Chance,  SNL

4:10 - 4:20 Compositional associative memories support efficient, robust, and flexible computations – Christopher Kymn, UC Berkeley 

4:20 - 4:30 Mapping Challenges of Connectomes for Performant Neuromorphic Simulation – Felix Wang, SNL

4:30 - 4:50 Panel Discussion

4:50 - 5:00 Day 2 closeout 

Poster Session/Reception

5:30 - 7:30pm Poster Session and Refreshments 

Thursday, February 5

8:30 - 8:45 Day 3 Welcome 

Topic I:  Energy Aspects of Quantum Computing

8:45 - 9:05 KEYNOTE

9:05 - 9:15 Overview of Quantum Computing Systems – Kasia, LANL

9:15 - 9:25 EnerQy: Energy Estimation for Quantum Computing – Di Wu, University of Central Florida

9:25 - 9:35 Energy-Aware Orchestration for Hybrid Quantum-Classical Computing: Towards Unified Telemetry and Cost Models – Ozgur Ozan Kilic, BNL

9:35 - 9:45 Quantum Enhanced Josephson Junction Field-Effect Transistors for Low-Energy Power-Efficient Microelectronics Applications  – Wei Pan, SNL

9:45 - 10:05 Panel Discussion

Topic J: Thermodynamic Computing

10:05 - 10:25 KEYNOTE 

10:25 - 10:35 Scalable Ising Solvers for Combinatorial Optimization – Shimeng Yu, Georgia Institute of Technology

10:35 - 10:45 A Digital Twin of Future Quantum HPC Systems – Priyrabrata Senapati, Kent State University 

10:45 - 10:55 Kinetic Inductors Enable Reversible Logic – Erik DeBenedictis, 

10:55 - 11:05 Adiabatic Progress – Snyder

11:05 - 11:25 Panel Discussion

11:25 - 11:35 *Break before Working Lunch Keynote*

11:35 - 12:35 LUNCH KEYNOTE

12:35 - 12:50 *Break*

Topic K:  Macro- and micro solutions to HPC Energy budgets

12:50 - 1:10 KEYNOTE 

1:10 - 1:20 Chiplets already fuel the Exascale. Chiplet modularity is key for the next 100-1000x energy savings –  Patricia Gonzalez-Guerrero, BNL

1:20 - 1:30 Thermal Management Opportunities from Exploding Energy Demands in Datacenters  – Foluso Ladeinde, Stony Brook University

1:30 - 1:40 Modeling and Optimization of Data Center Energy Flexibility to Support Power Grid – Masood Parvania, University of Utah 

1:40 - 1:50 Energy Consequences of Machine Learning Inference on HPCs – Mohammed Atif, BNL

1:50 - 2:10 Panel Discussion 

Topic L:  Co-Design

2:10 - 2:30 KEYNOTE: A Full-Stack Neuromorphic System Implementation for Development and Benchmarking –  Rajit Manohar, Yale University

2:30 - 2:40 Towards Efficient and Scalable Graph Solutions with Neuromorphic Learning –  Shruti Kulkarni, ORNL

2:40 - 2:50 Fault-Tolerance as a Basis for Energy-Efficient Co-Design – Hemanth Kolla, SNL

2:50 - 3:00 A principled procedure for designing brain-derived SWaP optimized neuronal units for low-power neuromorphic analog computation and digital communication – Kris Bouchard, LBL

3:00 - 3:10 Predictive Quantum Simulations for State-of-the-Art and Beyond CMOS Device Technologies: Enabling the Full Stack Co-design of Novel Computing Systems – Juan Mendez, SNL

3:10 - 3:30 Panel Discussion

Topic L2: AI-guided Co-Design/ Digital Twins

3:30 - 3:50 KEYNOTE

3:50 - 4:00 Agentic AI for Accelerating Automated Co-design of Neuromorphic Systems –  Yihui Ren, BNL 

4:00 - 4:10 Neuromorphic Co-Discovery: Beyond Co-Design –  Cale Crowder, SNL

4:10 - 4:20 Spike-based Agentic AI and Knowledge Graphs for Electronic Design Automation – Prasanna Date, ORNL 

4:30 - 4:50 Panel Discussion 

4:50 - 5:00 Day 3 closeout