Bring your own lunch, and let's map out 2025 for IAS Hawaii. We are looking for more volunteers who want to help build our IEEE in the local industry. 733 Bishop Street, Suite 2000, Honolulu, Hawaii, United States, Virtual: https://events.vtools.ieee.org/m/450453

Monthly YP meeting. 733 Bishop Street, Suite 2000, Honolulu, Hawaii, United States, Virtual: https://events.vtools.ieee.org/m/461542

Our inaugural talk of the 2025 Invited Seminar Series comprises of two back to back talks covering a few interesting topics revolving around cloud computing including user access control, authentication and authorization, deploying machine learning models and accelerating ML workflow on the cloud platforms. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Saidaiah Yachuri, Kunal Sekhri Agenda: - Invited talk from (https://www.linkedin.com/in/saidaiah-yechuri-1257bb14/), SDE at Amazon Web Services(25 mins) - Invited talk from (https://www.linkedin.com/in/kunalsekhri/), Senior SW Engg. at Google (25 mins) - Q/A Session (10 mins) Virtual: https://events.vtools.ieee.org/m/460746

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