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

Tokyo AI, Machine Learning and Computer Vision Meetup

Jimmy Guerrero

Kentaro

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

Online event

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

Silicon Valley AI, Robotics, Machine Learning, and Education

Robert

FREE WEBINAR:  How to Outsource Development of Your App  

v=This is an online event. Participation is 100% online.

Participants who have registered and paid via Eventbrite will be emailed the login link and info before the start of the event.

Participants can be located anywhere in the world!

This event is FREE to attend.

A "YES" RSVP on our meetup site does not confirm your reservation.

Space is limited. Please only RSVP "Yes" if you will be attending

In order to attend, please register here:

https://www.eventbrite.com/e/free-pitch-practice-how-to-pitch-to-investors-successfully-raise-money-tickets-122887079563?aff=IdeaSViLabFreeTix33Comm&afu=3951017871

Hurry! Slots are limited!

Raising money is a difficult and stressful task for startup Founders.Founders struggle to get the right combination of facts and projections to persuade investors to put in money.

This workshop is an intro to the longer pitch program. It covers to the two main parts of pitching:

1) What to say

2) How to say it

On this webinar you will learn:

1) The five step elevator pitch to get to the point in 60 seconds.

2) The standard topic for each page of the pitch deck, (for 90% of the startups)

3) How to use your customer “use case” in a story to show what your product does

4) The four key background points to set your pitch in the right direction

5) The key item two thirds of startup pitches leave out that is critical to customer adaption

6) The essential key points investors are looking for

and more!

This workshop is an intro to a four day workshop that speaker, entrepreneur and thought leader Steve Austin has presented to accelerators in San Francisco, Silicon Valley, in Asia and Europe.This content was derived from interviews with angel investors and venture capitalists in attendance at over 100 pitch to investor events where Steve’s students have pitched.

This workshop focuses on what angel investors and venture capitalists have indicated they are looking for in startup pitches.

Don’t waste more time with weak pitches.

Learn how to focus on the essential points and get the deal.

Scale your Innovation into Revenue!™

About the Speaker:

Steve Austin is a 25-year veteran of Silicon Valley and the founder of Silicon Valley iLab.He has worked with over 2,500 startups—giving him a unique insight into challenges and secrets to success when it comes to being an entrepreneur. Dozens of startups have raised funds and scaled up after attending Steve's workshops.

Steve has presented workshops in Silicon Valley, San Francisco and around the world. He has spoken at conferences at Tsinghua, Geju and SUES Universities in China and at incubators and accelerators in in Austria, Korea and Turkey.

Steve is a serial entrepreneur. He has developed and launched a dozen high-tech products for making computer chips and enterprise billing. He has been the CEO, MD, and vice president of sales and marketing for several organizations. Steve has managed global operations including personally generating hundreds of millions of dollars in B2B sales.

Steve holds a BS in Finance and Chemistry. For fun, enjoys playing the guitar and hikng.

You can reach Steve at:

https://www.linkedin.com/in/steveaustin/

Organizational Sponsor:

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FREE!  Pitch Practice: How to Pitch to Investors and Get the Deal

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

그룹

{PRO_NETWORK_NAME}은(는) Meetup 프로로서 전 세계 회원 수가 {PRO_MEMBER_COUNT}명 이상이며 Meetup이 {PRO_GROUP_COUNT}개에 달합니다. Meetup 프로는 사용자, 파트너, 기여자, 회원의 네트워크를 조직하고 소통할 수 있게 해주는 전문적인 툴입니다.

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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