IEEE Metropolitan Los Angeles Section – Communications Society Chapter

(https://attend.ieee.org/newera/register/) for options.For full Program Details see our website: https://attend.ieee.org/newera/(https://x.com/IeeeNewEraAI)- YouTube Event workshop link: https://www.youtube.com/watch?v=ot4zWt71FhAKeynotes[]Workshops (20 in 11 tracks):- Track A: Microsoft – AI for All – Room I- Track AB: Microsoft CoPilot for Security – Room I- Track B: Dell - Hardware Trojan Detection – Room I- Track C: Global Health Labs - AI for Global Health – Room II- Track D: UW Medicine- Training Medicine AI Models – Room II- Track E: AWS Gen AI Applications - Room III- Track F: Netflix - Gen AI Data Engineering - Room III- Track G: Amazon: Using AI for Corporate & Career Management - Room III- Track H: Aerospace Supply Chain & Digital Twins - Room IV- Track I: Meta Workshop - Unlocking the Power of LLMs via LLAMA - Room IV- Track J: Generative AI for Product Development - Room IV- Track K: Prompt Engineering (Amazon, Apple, Microsoft) - Room IV- Track L: Nvidia LLM/RAG Training (2 sessions, limited to 40)Lightning Talks- Data Quality in Intelligent Systems by Sreyashi Das, Senior Data Engineer at Netflix- PartyRock: Unleashing the Power of Generative AI in a Playground by Karthikeyan Gopal, Senior Software Development Engineer, Amazon- Revolutionizing Organizational Security with Microsoft Copilot’s AI Capabilities by Ankit Masrani, Senior Software Engineer, Microsoft Security- Building Trustworthy AI – Guardrails for a responsible future by Ashish Vaidya, Principal Software Engineer, Amazon- Exploring Generative AI and Its Transformative Applications by Qian Luo, Business Intelligence Engineer, Amazon- Artificial Intelligence for Sales and Marketing by Harshita Asnani, Applied Data Scientist, Amazon- Machine Learning: The Vicious Cycle by Shinjo Melosh, Production Engineer, Meta- SLIs for ML Models by Gauraang Naik, Production Engineer, Meta Platforms- Building AI solutions that fit the jigsaw puzzle by Charles Delahunt, Global Health LabsCo-sponsored by: IEEE Industry Engagement Committee, IEEE-USA and UNECSO Washington State Center. Hosted by the Department of Electrical and Computer Engineering. University of Washington. Technical sponsorship by IEEE Canada.Bldg: Husky Union Building, University of Washington, 4001 E Stevens Way NE, Seattler, Washington, United States, 98195

Meet US Senator Maria Cantwell. She has introduced three AI Bills: AI scholarships for students and professionals, AI Research & Development funding for researchers, and AI benefits for small businesses and job creation. On August 24, prepare for a day of deep listening to our world-renowned visionary thought leaders. Their insights are not just for information but for the transformation of our world. From the President of Microsoft Research, Dr. Peter Lee, who pioneered AI research, to Google VP, fellow and CTO, Dr. Blaise Agüera Arcas, a true master with AI insight like Einstein's Quantum mechanics, and Juan Lavista Ferres, Microsoft Corporate VP, Chief Data Scientist of AI for Good, who uses AI to improve the survival rate of deadliest liver or kidney cancers by 20x or more. Dr. Bill Dally, Chief Scientist at Nvidia Research, and Dr. Stefano Soatto, VP AWS AI Labs. And let's not forget UW Prof. Steven Brunton, NSF AI Institute in Dynamic Systems; UW Professor Blake Hannaford, who uses AI with touch feelings that can do robotic operations on nerves to remove brain tumors and more; Prof. Chirag Shah, UW Co-Founder of RAISE and Prof. Eric Klavins, Chair of the UW EE/CE department. Their insights have the potential to revolutionize AI applications in various fields. Join us on August 25 for a day of workshops to unlock the frontiers of AI/ML in Medicine, Manufacturing, Supply chain, Digital twin, Warehousing, Robots, Cybersecurity, Media art, Business, Food, Language, Data management, new AI/ML tools & usage, and people-centric public policies in our 20 AI enablement workshops. These workshops will showcase the diverse applications of AI, demonstrating its impact across various fields. Including Intro to AI, Prompt Engineering, CoPilot Security, Gen AI applications and an LLM/RAG hands-on class from Nvidia, aimed at helping new and current CS engineers and programmers to evaluate moving into this exciting new field. Full Program Details at https://attend.ieee.org/newera/program/ Follow us on social media: - Linkedin: https://www.linkedin.com/company/ieee-new-era-ai/ - Instagram: https://www.instagram.com/ieee.new.era.ai.summit - Facebook: https://www.facebook.com/profile.php?id=61561361592402 - Twitter: (https://x.com/IeeeNewEraAI) - YouTube Event workshop link: https://www.youtube.com/watch?v=ot4zWt71FhA Keynotes []Workshops (22 in 16 tracks): - Track A: Microsoft – AI for All – Room I - Track AB: Microsoft CoPilot for Security – Room I - Track B: Hardware Trojan Detection – Room I - Track C: Global Health Labs - AI for Global Health – Room II - Track D: UW Medicine- Training Medicine AI Models – Room II - Track E: AWS Gen AI Applications - Room III - Track F: Netflix - Data & Feature Engineering - Room III - Track G: Using AI for Corporate & Career Management - Room III - Track H: Aerospace Supply Chain & Digital Twins - Room IV - Track I: Meta Workshop - Unlocking the Power of LLMs via LLAMA - Room IV - Track J: Generative AI for Product Development - Room IV - Track K: Prompt Engineering (Amazon, Apple, Microsoft) - Room IV - Track L/M: Nvidia LLM/RAG Training (2 sessions, limited to 40) - Track N: Ai on AMD - Track O: Building AI Applications Lightning Talks - Data Quality in Intelligent Systems by Sreyashi Das, Senior Data Engineer at Netflix - PartyRock: Unleashing the Power of Generative AI in a Playground by Karthikeyan Gopal, Senior Software Development Engineer, Amazon - Building Trustworthy AI – Guardrails for a responsible future by Ashish Vaidya, Principal Software Engineer, Amazon - Exploring Generative AI and Its Transformative Applications by Qian Luo, Business Intelligence Engineer, Amazon - Artificial Intelligence for Sales and Marketing by Harshita Asnani, Applied Data Scientist, Amazon - Machine Learning: The Vicious Cycle by Shinjo Melosh, Production Engineer, Meta - SLIs for ML Models by Gauraang Naik, Production Engineer, Meta Platforms - Building AI solutions that fit the jigsaw puzzle by Charles Delahunt, Global Health Labs Co-sponsored by: IEEE Industry Engagement Committee, IEEE-USA and UNECSO Washington State Center. Hosted by the Department of Electrical and Computer Engineering. University of Washington. Technical sponsorship by IEEE Canada. Bldg: Husky Union Building, University of Washington, 4001 E Stevens Way NE, Seattler, Washington, United States, 98195, Virtual: https://events.vtools.ieee.org/m/428493