Humans make decisions and solve problems using heuristics (“thinking fast”) or abstract approaches such as modeling (“thinking slow”). Artificial intelligence approaches can similarly use either heuristics that are related to correlation and categorization, or use models that are related to causation. Predictive Engineering, which melds engineering modeling with probabilistic thinking, aligns closely with causation and an aspect of artificial intelligence called Causal Learning. Issues with some artificial intelligence approaches will be explored, with real (and sometimes controversial and provocative) examples, and promising approaches encompassing causation /predictive engineering will be discussed. [] Speaker(s): Eric Maass Virtual: https://events.vtools.ieee.org/m/445270

Monthly ExCom meeting. All Section members welcome. Dinner will be provided for $10 per person. Please give cash to Matt on the day of. 244 Holmes Hall, Honolulu, Hawaii, United States, 96822, Virtual: https://events.vtools.ieee.org/m/452259

[] Title: Realizing Artificial Intelligence: Edge-to-Cloud-to-Exascale Abstract: Foundational models with trillions of parameters are being trained. Multi-modal GenAI and Inference Serving services are being deployed for a variety of use cases. To meet the computational demands of these AI workloads, we now have infrastructure with larger than ever GPUs and networks with ever increasing bandwidths. In this presentation, I will talk about challenges of running today’s AI workloads on extreme scale infrastructure. Hewlett Packard Labs is pursuing different research directions for building resilient, scalable and sustainable AI infrastructures. I will discuss how we are tackling the complexities of orchestrating AI/ML workloads by leveraging AI Workload simulations, GPU virtualization, performant communication collectives and novel accelerators. Virtual: https://events.vtools.ieee.org/m/462458

Feb ExCom Honolulu, Hawaii, United States, Virtual: https://events.vtools.ieee.org/m/463036

Monthly YP meeting. 733 Bishop Street, Suite 2000, Honolulu, Hawaii, United States, Virtual: https://events.vtools.ieee.org/m/468162

Kick-off meeting. All Chapter members welcome. Virtual: https://events.vtools.ieee.org/m/469851

ExCom meeting. All PES members are welcome. Honolulu, Hawaii, United States, 96822