Name: Nov 6 - In-Person Iowa AI, ML and Computer Vision Meetup
Start: 2025-11-06T23:30:00.000Z
Location: Iowa State University Research Park

Join Voxel51 and NVIDIA as they unveil a breakthrough that’s changing how Physical AI systems are built. In this first-ever demo featuring [NVIDIA Omniverse NuRec](https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models/) and [NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/) with [FiftyOne](https://docs.voxel51.com/), you’ll learn how to create validated, simulation-ready data pipelines—cutting testing costs, eliminating manual data audits, and accelerating development from months to days.

**Date and Location**

Nov 5, 2025
9:00-10:30 AM Pacific
Online. **[Register for the Zoom](https://link.voxel51.com/physical-ai-launch-meetup)**

Developing autonomous vehicles and humanoid robots requires rigorous simulations that capture real-world complexity. The critical barrier that keeps teams from achieving success isn’t the simulation engine itself, but the data that powers it.

As Physical AI systems ingest petabytes of multisensor data, converting this raw input into validated, simulation-ready data pipelines remains a hidden bottleneck. A camera-to-LiDAR projection off by a few pixels, timestamps misaligned by a few milliseconds, or inaccurate coordinate systems will cascade into flawed neural reconstructions and synthetic data.

Without a well-orchestrated data pipeline, even the most advanced simulation platforms end up consuming imperfect data, wasting weeks of effort and thousands of dollars in testing and compute costs.

In a first-ever demo featuring NVIDIA Omniverse NuRec and NVIDIA Cosmos with FiftyOne, you’ll discover how to:

* Eliminate manual data audits with an automated workflow that calibrates, aligns, and ensures data integrity across cameras, LiDAR, radar, and other sensors
* Curate and enrich the data for neural reconstructions and synthetic data generation
* Reduce Physical AI testing and QA costs by up to 80%
* Accelerate Physical AI development from months to days

Who should attend:

* Data Engineers, MLOps & ML Engineers working with Physical AI data
* Technical leaders and Managers driving Physical AI projects from prototype to production
* AV/Robotics Researchers building safety-critical apps with cutting-edge tech
* Product & Strategy leaders seeking to accelerate development while reducing infra costs and risks.

**About the Speakers**

[Itai H Zadok](https://www.linkedin.com/in/itai-zadok/) is a Senior Product Manager l Autonomous Vehicles Simulation at NVIDIA

[Daniel Gural](https://www.linkedin.com/in/daniel-gural/) is a Machine Learning Engineer and Evangelist at Voxel51

Rome AI, Machine Learning and Computer Vision Meetup

Jimmy Guerrero

Jyoti Wadhwa

Physical AI Data Pipelines with NVIDIA Omniverse NuRec, Cosmos and FiftyOne

Online event

**Organizational Sponsor:**

**Startup House**

**Need a place to stay short term in Silicon Valley?**

**Stay at Startup House in Palo Alto - the heart of Silicon Valley - for as low as $50 a night!**

**-Network, socialize and connect with entrepreneurs all over the world!**
**-Enjoy social events and startup and venture capital-related programming!**
**\- Have access to world class amenities\, iconic tech companies\, top tier venture capital firms\, Stanford University\, etc\. \- all within walking or biking distance\!**

**For more info, send an email message to:**

**siliconvalleystartuphousing@gmail.com**

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**Silicon Valley Startup Housing**

This event is 100% online.

Participants can be located anywhere in the world!

This event is FREE to attend!

In order to attend, please register here:

[Silicon Valley Business Networking $Online$ Tickets\, Multiple Dates \| Eventbrite](https://www.eventbrite.com/e/silicon-valley-business-networking-online-tickets-516429563727)

(The login link will be sent via email to Eventbrite registrants right before the start of the event.)

Hurry! Slots are limited!

There's no content or speaker at this event -- just business networking.

Build your business network - face to face (online)!

Join a virtual gathering of professionals from all walks of life from all over the world!

You may meet your next business collaborator, client, employer, employee or friend!

Meet Silicon Valley movers and shakers and influencers from all over the world - tech entrepreneurs, developers, engineers, attorneys, bloggers, academics, thought leaders, community organizers, artists, financiers, and investors!

N﻿etwork, socialize and connect!

For more info on Idea to IPO events, visit:

[www.idea-to-ipo.com](www.idea-to-ipo.com) (our main meetup group among 160 meetup groups globally)

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Silicon Valley AI, Robotics, Machine Learning, and Education

Robert

Silicon Valley Business Networking (Online) 

This event is organized by TechSpeak.

Our meetup group is collaborating by promoting this event.

This event is FREE to attend!

In order to attend, please register here:

https://www.techspeakforentrepreneurs.com/outsource/?utm=ideatoipo

(Registrants will receive login info right before the start of the event.)

If you are a non-technical person with an idea for an app, you’re probably looking for a technical co-founder to help you build the app.

However, you can launch a tech startup by outsourcing code!

In the early days of your startup it can be challenging to attract a technical co-founder to build your app. But by knowing how to efficiently outsource the building of your MVP and gain some traction, you can de-risk the opportunity for the tech person and change the conversation from "I Need You" to "Here's an Opportunity".

In this webinar, the speaker will discuss the best way to outsource the development of your app, including:

1) Why outsourcing may be the best way to find a technical co-founder

2) Outsourcing best practices

3) How not get ripped off in the process

and more!

About the Speaker

Nelly Yusupova is a CTO, with over 18 years experience, leading companies to technical excellence. She is a startup tech advisor, outsourced CTO, and the creator of TechSpeak for Entrepreneurs.

Nelly is on a mission to help entrepreneurs minimize technology mistakes. Through her online master class TechSpeak for Entrepreneurs, she provides the roadmap to successfully manage technology teams and projects.

Just recently included in Fast Company’s, “League of Extraordinary Women”, Nelly has been at the forefront of the women’ s movement online since 1999 and is one of the Wall Street Journal’s “Women on the IT Fast Track”.

Nelly is a speaker and presenter for many organizations and major industries events including: Women’s Enterprise Center, New York Entrepreneurs Business Network, Small Business Summit, BlogHer, Social Media Jungle, Mom 2.0, BlogWorld, and more.

She has been featured in Inc. Magazine, NBC's Today Show, Fast Company, NewsDay.com, O’Reilly, Smart Money, Small Biz, TechRepublic, Women’s Radio and more.

Nelly can be reached at:

nelly@techspeak.co

FREE WEBINAR:  How to Outsource Development of Your App  

Join us for a virtual event to hear talks from experts on the latest developments in Visual Document AI.

**Date and Location**

Nov 6, 2025
9-11 AM Pacific
Online. **[Register for the Zoom!](https://voxel51.com/events/visual-document-ai-because-a-pixel-is-worth-a-thousand-tokens-november-6-2025)**

**Document AI: A Review of the Latest Models, Tasks and Tools**

In this talk, go through everything document AI: trends, models, tasks, tools! By the end of this talk you will be able to get to building apps based on document models

*About the Speaker*

[Merve Noyan](https://www.linkedin.com/in/merve-noyan-28b1a113a/) works on multimodal AI and computer vision at Hugging Face, and she's the author of the book Vision Language Models on O'Reilly.

**Run Document VLMs in Voxel51 with the VLM Run Plugin — PDF to JSON in Seconds**

The new [VLM Run Plugin](https://docs.voxel51.com/plugins/plugins_ecosystem/vlmrun_voxel51_plugin.html) for Voxel51 enables seamless execution of document vision-language models directly within the Voxel51 environment. This integration transforms complex document workflows — from PDFs and scanned forms to reports — into structured JSON outputs in seconds. By treating documents as images, our approach remains general, scalable, and compatible with any visual model architecture. The plugin connects visual data curation with model inference, empowering teams to run, visualize, and evaluate document understanding models effortlessly. Document AI is now faster, reproducible, and natively integrated into your Voxel51 workflows.

*About the Speaker*

[Dinesh Reddy](https://www.linkedin.com/in/dinesh-reddy-hiring-26b95945/) is a founding team member of VLM Run, where he is helping nurture the platform from a sapling into a robust ecosystem for running and evaluating vision-language models across modalities. Previously, he was a scientist at Amazon AWS AI, working on large-scale machine learning systems for intelligent document understanding and visual AI. He completed his Ph.D. at the Robotics Institute, Carnegie Mellon University, focusing on combining learning-based methods with 3D computer vision for in-the-wild data. His research has been recognized with the Best Paper Award at IEEE IVS 2021 and fellowships from Amazon Go and Qualcomm.

**CommonForms: Automatically Making PDFs Fillable**

Converting static PDFs into fillable forms remains a surprisingly difficult task, even with the best commercial tools available today. We show that with careful dataset curation and model tuning, it is possible to train high-quality form field detectors for under $500. As part of this effort, we introduce CommonForms, a large-scale dataset of nearly half a million curated form images. We also release a family of highly accurate form field detectors, FFDNet-S and FFDNet-L.

*About the Speaker*

[Joe Barrow](https://www.linkedin.com/in/joe-barrow-b2048226/) is a researcher at Pattern Data, specializing in document AI and information extraction. He previously worked at the Adobe Document Intelligence Lab after receiving his PhD from the University of Maryland in 2022.

**Visual Document Retrieval: How to Cluster, Search and Uncover Biases in Document Image Datasets Using Embeddings**

In this talk you'll learn about the task of visual document retrieval, the models which are widely used by the community, and see them in action through the open source [FiftyOne App](https://docs.voxel51.com/) where you'll learn how to use these models to identify groups and clusters of documents, find unique documents, uncover biases in your visual document dataset, and search over your document corpus using natural language.

*About the Speaker*

[Harpreet Sahota](https://www.linkedin.com/in/harpreetsahota204/) is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in VLMs, Visual Agents, Document AI, and Physical AI.

Nov 6 - Visual Document AI: Because a Pixel is Worth a Thousand Tokens

Join the Meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision.

**Date and Location**

Nov 6, 2025
5:30-8:30 PM

[Digital Ag Innovation Lab](https://www.isudigitalag.org/)
3800 University Blvd
Suite 1220
Ames, Iowa 50010

**AI in Use Across Corteva R&D**

Corteva Agriscience is a leading global agricultural solutions company based on deep integration of technology and science. Corteva’s core innovation drivers are proprietary seed products and differentiated crop protection, and has sights set on the next horizon of value from gene editing, biologicals, and advanced decision science.

A central theme of innovation at Corteva is the transformative role of artificial intelligence across the entire R&D pipeline. AI has already delivered an increase in the speed of time to discovery and significantly improved development timelines, and manufacturing productivity. Corteva is expanding its capabilities, from leveraging GenAI for creating regulatory documents to an AI-powered agronomy tool for its sales team.

This focus on innovation underpins a robust pipeline of new seed and crop protection products. The overarching goal is to leverage the latest technological capabilities to accelerate AI-guided discovery and fully embed data-driven solutions from the laboratory to the farm.

*About the Speaker*

[Matt Smalley](https://www.linkedin.com/in/matthew-smalley-99b77339/) serves as the Data Science & Data Engineering Leader for R&D at Corteva Agriscience, where he spearheads the integration of advanced analytics, digital technologies, and scientific research to deliver innovative solutions for farmers worldwide. Matt was raised on a crop and livestock farm in northeast Iowa, an experience that instilled in him a deep appreciation for the challenges and opportunities faced by farmers.

**Machine Learning Advances for 3D Phenotyping**

Artificial intelligence and machine learning are reshaping agricultural research by enabling new approaches to plant phenotyping and precision agriculture. This talk presents recent advances in 3D plant reconstruction using Neural Radiance Fields (NeRFs) and related learning-based methods for generating high-fidelity visualizations of plant growth. These techniques support scalable, real-time analysis of complex plant structures, offering efficient alternatives to traditional, equipment-intensive approaches.

The session will also highlight how immersive Virtual Reality (VR) environments, combined with AI-driven reconstructions, create new opportunities for collaborative research, allowing distributed teams to virtually analyze, monitor, and interact with crops. By integrating machine learning with visualization and interaction technologies, this work advances precision agriculture and lowers barriers to access, providing both researchers and practitioners with flexible, data-driven tools for breeding, monitoring, and decision-making.

*About the Speaker*

[Adarsh Krishnamurthy](https://www.linkedin.com/in/adarsh-krishnamurthy-90a7ab1/) is a professor in the mechanical engineering department at Iowa State University, where he currently leads the Integrated Design and Engineering Analysis (IDEA) lab. His research interests include computer-aided design (CAD), GPU and parallel algorithms, cyber-enabled manufacturing, biomechanics, patient-specific heart modeling, solid mechanics, computational geometry, and ultrasonic non-destructive testing. He is a fellow of the Plant Science Institute at Iowa State University. He was elected as a fellow of the American Society of Mechanical Engineers (ASME) in 2024.

**Beyond the Lab: Real-World Anomaly Detection for Agricultural Computer Vision**

Anomaly detection is transforming manufacturing and surveillance, but what about agriculture? Can AI actually detect plant diseases and pest damage early enough to make a difference?

This talk demonstrates how anomaly detection identifies and localizes crop problems using coffee leaf health as our primary example. We'll start with the foundational theory, then examine how these models detect rust and miner damage in leaf imagery.

The session includes a comprehensive hands-on workflow using the open-source FiftyOne computer vision toolkit, covering dataset curation, patch extraction, model training, and result visualization. You'll gain both theoretical understanding of anomaly detection in computer vision and practical experience applying these techniques to agricultural challenges and other domains.

*About the Speaker*

[Paula Ramos](https://www.linkedin.com/in/paula-ramos-phd/) has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

**Role of AI Foundation Models in Cyber-Agricultural Systems**

The emergence of multi-modal AI foundation models presents a paradigm shift opportunity for cyber-agricultural systems by enabling the integration of diverse data types such as imagery, text, and time-series signals. This talk will explore the core concepts, recent advancements, and domain-specific challenges in building and applying multi-modal models to agricultural problems. I will focus on a few of our recent success stories, driving progress in this space, with applications ranging from crop monitoring and yield prediction to sustainable crop management. I will also discuss some practical considerations such as data curation, computational requirements, and model evaluation in the context of Ag foundation models.

*About the Speaker*

[Soumik Sarkar](https://www.linkedin.com/in/soumik-sarkar-448b2619/) is the Director of the Translational AI Center at Iowa State University and the Associate Director of the NSF/USDA-NIFA AI Institute for Resilient Agriculture (AIIRA). He is a Professor of Mechanical Engineering and Computer Science, and his research focuses on developing AI and machine learning algorithms for cyber-physical systems with applications to manufacturing, transportation, and agriculture. He co‐authored more than 310 peer-reviewed publications and is a recipient of several prestigious honors, including the NSF CAREER Award, the AFOSR Young Investigator Program (YIP) Award, and the Presidential Early Career Award for Scientists and Engineers (PECASE).

Iowa AI, ML and Computer Vision Meetup

hanif

Hugo Seguin

Deepak Nallajerla

Nov 6 - In-Person Iowa AI, ML and Computer Vision Meetup

Iowa State University Research Park

AI, Machine Learning and Computer Vision Meetup Network

Gruppi

{PRO_NETWORK_NAME} fa parte di Meetup Pro con più di {PRO_MEMBER_COUNT} iscritti in {PRO_GROUP_COUNT} Meetup in tutto il mondo. Meetup Pro è lo strumento professionale per organizzare e comunicare in un network di utenti, partner, contributori e partecipanti.

This virtual group is for data scientists, machine learning engineers, and open source enthusiasts.

Every month we’ll bring you two diverse speakers working at the cutting edge of data science, machine learning, AI and computer vision.

This Meetup is sponsored by Voxel51, the lead maintainers of the open source FiftyOne computer vision toolset.

AI, Machine Learning and Computer Vision Meetup Network

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