Past Events
This talk will explore the core distinctions between Generative AI and Agentic AI, highlighting key characteristics, technological advancements, and applications across industries.
This talk draws on Katherine C. Epstein's new book "Analog Superpowers: How Twentieth-Century Technology Theft Built the National Security State," which will explore a little-known but important chapter in the history of analog computing, and its surprising connections with today’s world of digital devices and great-power competition.
Whether you're a developer, product manager, or startup founder, this presentation will offer practical takeaways to rethink your approach to ensure your startup is guided by more than just code.
This talk will show how IEEE has been actively developing initiatives that support ethics in AI, a broader semiconductor supply chain, mitigating climate change, and ensuring sustainability.
Ransomware is wreaking havoc upon our society and costing billions of dollars. This presentation will give an overview of new methods to detect such malware before it is able to begin corrupting user data.
This talk will explore the evolution of traditional data warehouses into modern lakehouses, driven by advancements in AI and machine learning (ML).
Come to this workshop to gain clarity on your blind spots, boost your communication skills, and learn new ways to advance in your tech career.
This presentation will review the pillars of responsible AI, and will describe important technical requirements and tools along with solutions from select software startups.
You will learn about Vertical Axis Wind Turbines (VAWTs), which are placed less than 100 feet above the ground in wind farms under existing Horizontal Access Wind Turbines, and which create synergies such that the overall energy output from their simultaneous operation is greater than what each would produce on its own.
In this talk, you will learn about memory optimizations for machine learning (ML), ML's ability to optimize computational resources including memory, and how it is a critical aspect of effective model deployment.
