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UID:5c8ddba8-7a66-4e2f-bdf4-d399f349a000@support.access-ci.org
DTSTAMP:20260305T112202Z
DTSTART:20260305T190000Z
DTEND:20260305T200000Z
SUMMARY:NSF Neocortex Researcher Seminar Series
DESCRIPTION:Dear all, It is my privilege to announce and cordially invite 
 you to the NSF Neocortex Seminar Series, a monthly virtual space to highli
 ght and learn from colleagues advancing impactful research powered by the 
 Cerebras WSE (Wafer Scale Engine), the AI accelerator featured in the NSF 
 Neocortex AI supercomputer.We are inaugurating the virtual series on March
  5th at 2 pm ET (today) with a talk from Dr. Matthew Moreno (University of
  Michigan) titled Sampling- and Estimation-based Strategies for Data Colle
 ction in Wafer-Scale Evolution Simulations. Dr. Moreno will be sharing how
  the powerful WSE has impacted his research in evolutionary biology and al
 lowed him to advance digital experiments exploring cross-scale biological 
 phenomena.If you haven't registered and have the availability, you, your f
 riends and colleagues are all welcome to join. Please, register using this
  link.Inaugural Neocortex Seminar Series Presentation via ZoomSeminar Titl
 e: Sampling- and Estimation-based Strategies for Data Collection in Wafer-
 Scale Evolution SimulationsSpeaker: Matthew A. Moreno, PhDAffiliation: Uni
 versity of MichiganDate: March 5, 2026Time: 2:00 PM (EST)Host: Paola A. Bu
 itrago, Neocortex PI | Sergiu Sanielevici, Neocortex co-PIRegister and get
  the Zoom coordinates for the presentation here.Sampling- and Estimation-b
 ased Strategies for Data Collection in Wafer-Scale EvolutionAbstractEmergi
 ng AI/ML-oriented hardware accelerators, like the 880,000-processor Cerebr
 as Wafer-Scale Engine (WSE), have potential to open new frontiers in compu
 tational modeling through orders-of-magnitude scale-up of high-performance
  computing (HPC) workloads. In the context of evolutionary biology, these 
 technologies offer new opportunities for digital experiments exploring cro
 ss-scale biological phenomena — such as many-species eco-evolutionary dy
 namics and evolutionary transitions in individuality (e.g., multicellulari
 ty, eusociality). Effectively harnessing AI/ML accelerators for scientific
  computing workloads, however, poses substantial engineering challenges. O
 ne such challenge is tracking simulation dynamics that take place across a
  vast, highly-distributed fabric of memory-constrained processors. This ta
 lk will present technical and practical aspects of sampling- and estimatio
 n-based data collection strategies developed to support digital evolution 
 on the Wafer-Scale Engine. At scale, these strategies enable the tracking 
 of evolutionary history across trillions of simulated organisms in agent-b
 ased models. The talk will also review recent work migrating experiment an
 d data management pipelines for general-purpose, SDK-based Wafer-Scale com
 puting to the Cerebras Wafer-Scale Cloud.Bio:Matthew Andres Moreno is a po
 stdoctoral scholar at the University of Michigan, advised by Dr. Luis Zama
 n. His research spans evolutionary biology, high-performance computing, an
 d artificial life, developing computational tools and methods for large-sc
 ale evolution simulations. At the University of Michigan, he is affiliated
  with the Ecology and Evolutionary Biology department, the Complex Systems
  program, and Michigan Institute for Data and AI in Society programs. He c
 ompleted his graduate studies at the BEACON Center for the Study of Evolut
 ion in Action at Michigan State University, advised by Dr. Charles Ofria. 
 He is a former Eric and Wendy Schmidt AI in Science Postdoctoral Fellow an
 d NSF Graduate Research Fellow.We look forward to your participation!The N
 eocortex team
URL:https://support.access-ci.org/events/8971
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