Usage of Large Action Models in Agentic AI
Discover Large Action Models that plan, call functions, and automate workflows—bridging reasoning and action beyond traditional LLMs.
Discover Large Action Models that plan, call functions, and automate workflows—bridging reasoning and action beyond traditional LLMs.
Robot Challenge competition including time trials for robots and oral presentations by the student teams. This is an exciting event for Middle School and High School students who have built robots from scratch. We need Judges! The interaction with working engineers is invaluable. Competition ends early afternoon, depending on the [...]
This the third session of the WIE Synergy series. Through an engaging fireside chat, this event brings together visionary leaders from diverse regions to share insights on bridging geographical and cultural gaps, fostering inclusive leadership, and driving impactful initiatives
While Large Language Models have advanced rapidly, building reliable production-grade systems around them remains a complex engineering challenge. In this webinar, Anni Chen introduces a systems-driven framework for deploying LLMs in real-world environments. The session explores how to identify high-impact use cases, design retrieval-augmented architectures, navigate latency and cost trade-offs, and establish continuous evaluation and feedback loops. Drawing on experience with large-scale deployments, the talk emphasizes disciplined engineering, responsible AI practices, and scalable infrastructure. It offers a practical blueprint for turning powerful models into dependable, measurable business systems.
AI is rapidly transforming the science of coding, automating simulation and analysis at unprecedented speed. As technical tasks become increasingly AI-driven, long-term career impact shifts toward uniquely human skills. In this talk, Anu Ramamurthy—Associate Fellow of Design at Microchip Technology—explores three essential pillars of modern leadership: situational awareness, adaptive communication, and cross‑disciplinary synthesis. Drawing from over 25 years in the semiconductor industry, she shares insights on how these capabilities empower leaders to navigate complex work environments and drive innovation beyond what AI alone can achieve.