IEEE Computer Society Santa Clara Valley Chapter

IEEE CS SCV Chapter

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التكنولوجيا

Discussion aligned with the mission statement of IEEE Computer Society which is to be the leading provider of technical information, community services, and personalized services to the world's computing professionals. More details are available at the chapter website https://r6.ieee.org/scv-cs/

١٢ أغسطس

Discussion on the contents of Feedforward Vol 4 No 3

The podcast presents some distinct research papers from the "Feedforward" magazine. The first paper proposes a deep learning approach for interpreting ECG signals and detecting pathologies, utilizing models like ResNet-18 and U-Net for classification and segmentation of heart conditions. The second paper introduces optimized techniques for scalable parallel processing of dynamic graphs, focusing on a hybrid model that integrates message-passing and shared-memory concepts for efficiency in applications like social media analytics. The third paper details an LLM-powered API Navigator, an intelligent assistant designed to simplify understanding complex API specifications using AI for semantic search and query processing. Together, these documents highlight advancements in AI applications across medical diagnostics, complex data analysis, and software development tools, emphasizing the role of machine learning in addressing real-world challenges.

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The Cognitive Nexus Magazine

A discussion on the articles from the inaugural issue of The Cognitive Nexus, a quarterly magazine published by the IEEE Computational Intelligence Society, Santa Clara Valley Chapter. These articles explore various applications of artificial intelligence and machine learning. Topics include "Advancing Collaborative Intelligence Through Model Context Protocol", which details a new framework for AI system collaboration; "AI-Powered Chess Insights", showcasing real-time chess analysis using computer vision and large language models; "Machine Learning for Predicting Displacement Patterns in Conflict Zones", focusing on humanitarian aid in South Sudan; and "Leveraging AI Models for Proactive Problem Detection... in Enterprise IT Infrastructure", which discusses AI's role in IT operations. Additionally, "Enhancing Financial Network Threat Detection" examines how unsupervised learning and generative AI can improve financial security. Editor: Vishnu S. Pendyala, Ph.D. Editorial Board Members: Rahul Raja Arpita Vats

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١٥ أبريل

Feedforward April - June 2025

A conversation on the articles published in Feedforward April - June 2025

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AMA on Data Privacy, Machine Unlearning, and more with Prof. Gautam Kamath

After a brief intro highlighting issues and solutions for data privacy in machine learning settings, Prof. Gautam Kamath answers questions related to data privacy, machine unlearning, research, academia, career advice, and anything in between.

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Revolutionizing Healthcare using Generative AI

The panel discussion explores the potential of generative AI in enhancing medical care. Generative AI holds immense promise for transforming healthcare, but ethical considerations, thorough validation, and responsible implementation are essential. Careful attention to these challenges will unlock the full potential of AI to improve diagnosis, treatment, and overall patient care. The panelists delved into a range of questions on leveraging the predictive power of GenAI for personalized medicine, enhanced diagnostics, ethical dilemmas, and more. Some of the resources discussed in the video are listed below: TEDx talk: https://www.youtube.com/watch?v=uvqDTbusdUU&t=265s Latent diffusion model: https://www.youtube.com/watch?v=YHTSdd8-bnc&t=3s AI Medical Transcription: https://jobs.scribeamerica.com/us/en/blogarticle/artificial-intelligence-in-medical-transcription Explainability: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-01332-6 AI in healthcare pros and cons: https://hitrustalliance.net/blog/the-pros-and-cons-of-ai-in-healthcarehttps://nvidianews.nvidia.com/news/healthcare-generative-ai-microserviceshttps://blogs.nvidia.com/blog/bionemo-ai-drug-discovery-foundation-models-microservices/https://www.cnn.com/2024/03/19/tech/novo-nordisk-ai-supercomputer/index.htmlhttps://www.brookings.edu/articles/generative-ai-in-health-care-opportunities-challenges-and-policy/https://blog.google/technology/health/cloud-next-generative-ai-health/https://www.forbes.com/sites/forbesbusinesscouncil/2024/02/29/ai-is-rapidly-transforming-drug-discovery/

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Navigating privacy & hallucination concerns around Generative AI

Lakshmanan Sethu from Google, Chinmay Nerurkar from Microsoft, and Ruchi Agarwal from Netflix, and Vishnu Pendyala from SJSU discuss Navigating privacy & hallucination concerns around Generative AI

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Ask me Anything (AMA) on Big Data Technologies and Applications

Topics covered include neuromorphic hardware, spiking neural networks, big data processing frameworks, Hadoop, Spark, Mining Streaming data Speaker, Raghavendra K. Chunduri is working as a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering, at the University of Colorado, Colorado Springs Moderator, Vishnu S. Pendyala, PhD is a faculty in Applied Data Science at San Jose State University.

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IEEE Day Panel Discussion on Ethical AI: Shaping the Future Responsibly

Panelists: Dr. Katharina Koerner, Tech Diplomacy Network, USA https://www.linkedin.com/in/katharina... Chinmay Nerurkar, Principal Engineer, Microsoft https://www.linkedin.com/in/nchinmay/ Dr.Kumaravel Appavoo Dr. Vishnu S. Pendyala, SJSU, San Jose, CA, USA https://www.linkedin.com/in/pendyala/ Moderator: Meenakshi Jindal, Netflix, Los Gatos, USA https://www.linkedin.com/in/meenakshi... An IEEE Computer Society, Santa Clara Chapter event. For past webinars, slides, please visit https://r6.ieee.org/scv-cs/

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Should AI development really take a pause?

Recently, the news media has been filled with reports and debates on the powers and dangers of Artificial Intelligence. Adding to the confusion, even experts have been differing in their opinions. This panel discussion is intended to help clarify and provide interesting perspectives on the topic. It was featured in ICADS ’23: Second International Conference on Applied Data Science organized by the chapter. Panelists: Prof. Charalampos Patrikakis, Manish Mradul, Dr. Vishnu Pendyala, Prasanna Vijayanathan, Krupa Kothadia

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Discussion aligned with the mission statement of IEEE Computer Society which is to be the leading provider of technical information, community services, and personalized services to the world's computing professionals. More details are available at the chapter website https://r6.ieee.org/scv-cs/

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IEEE CS SCV Chapter
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IEEE Computer Society Santa Clara Valley Chapter