What weāre about
š This virtual group is for data scientists, machine learning engineers, and open source enthusiasts who want to expand their knowledge of computer vision and complementary technologies. Every month weāll bring you two diverse speakers working at the cutting edge of computer vision.
- Are you interested in speaking at a future Meetup?
- Is your company interested in sponsoring a Meetup?
Contact the Meetup organizers!
This Meetup is sponsored by Voxel51, the lead maintainers of the open source FiftyOne computer vision toolset. To learn more about FiftyOne, visit the project page on GitHub: https://github.com/voxel51/fiftyone
š£ Past Speakers
* Sage Elliott at Union.ai
* Michael Wornow at Microsoft
* Argo Saakyan at Veryfi
* Justin Trugman at Softwaretesting.ai
* Johannes Flotzinger at UniversitƤt der Bundeswehr MĆ¼nchen
* Harpreet Sahota at Deci,ai
* Nora Gourmelon at Friedrich-Alexander-UniversitƤt Erlangen-NĆ¼rnberg
* Reid Pryzant at Microsoft
* David Mezzetti at NeuML
* Chaitanya Mitash at Amazon Robotics
* Fan Wang at Amazon Robotics
* Mani Nambi at Amazon Robotics
* Joy Timmermans at Secury360
* Eduardo Alvarez at Intel
* Minye Wu at KU Leuven
* Jizhizi Li at University of Sydney
* Raz Petel at SightX
* Karttikeya Mangalam at UC Berkeley
* Dolev Ofri-Amar at Weizmann Institute of Science
* Roushanak Rahmat, PhD
* Folefac Martins
* Zhixi Cai at Monash University
* Filip Haltmayer at Zilliz
* Stephanie Fu at MIT
* Shobhita Sundaram at MIT
* Netanel Tamir at Weizmann Institute of Science
* Glenn Jocher at Ultralytics
* Michal Geyer at Weizmann Institute of Science
* Narek Tumanya at Weizmann Institute of Science
* Jerome Pasquero at Sama
* Eric Zimmermann at Sama
* Victor Anton at Wildlife.ai
* Shashwat Srivastava at Opendoor
* Eugene Khvedchenia at Deci.ai
* Hila Chefer at Tel-Aviv University
* Zhuo Wu at Intel
* Chuan Guo at University of Alberta
* Dhruv Batra Meta & Georgia Tech
* Benjamin Lahner at MIT
* Jiajing Chen at Syracuse University
* Soumik Rakshit at Weights & Biases
* Jiajing Chen at Syracuse University
* Paula Ramos, PhD at Intel
* Vishal Rajput at Skybase
* Cameron Wolfe at Alegion/Rice University
* Julien Simon at Hugging Face
* Kris Kitani at Carnegie Mellon University
* Anna Kogan at OpenCV.ai
* Kacper Åukawski at Qdrant
* Sri Anumakonda
* Tarik Hammadou at NVIDIA
* Zain Hasan at Weaviate
* Jai Chopra at LanceDB
* Sven Dickinson at University of Toronto & Samsung
* Nalini Singh at MIT
š Resources
* YouTube Playlist of previous Meetups
* Recap blogs including Q&A and speaker resource links
Sponsors
See all
Voxel51Administration, promotion, giveaways and charitable contributions.
Voxel51Administration, promotion, giveaways and charitable contributions.- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
- Voxel51Administration, promotion, giveaways and charitable contributions.
Upcoming events (4+)
See all- Sept 20 - Visual AI Hackathon at Northeastern UniversityCurry Student Center at Northeastern University, Boston
Spots are limited so make sure to register:
https://voxel51.com/computer-vision-events/visual-ai-hackathon-sept-20-2024/
Join us for an exciting hackathon at Northeastern University, where ML enthusiasts and college students alike will come together to tackle real-world challenges in the field. With cash prizes, intimate space, refreshments, and swag, participants can expect an immersive experience filled with learning, networking, and the opportunity to showcase their skills. Whether youāre a beginner eager to explore foundational concepts or an intermediate looking to add flair to your projects, this event offers something for everyone.
Attend workshops during the hackathon to learn some of the best practices in Computer Vision and ML. Judges, including industry experts, will evaluate submissions across various levels, with prizes awarded to the most innovative solutions. Donāt miss out on this chance to collaborate, learn, and contribute to the vibrant AI community.
Come build projects, engage with fellow enthusiasts, and be part of the future of machine learning!
What you can expect
š Tech Talks: Deep dive tech talks on Computer Vision and Data-Centric AI.
š§ Hands-on Workshops: Learn how to build AI applications through code examples
š Engaging Challenges: Tackle real-world problems with AI solutions.
š¤ Networking Opportunities: Connect with fellow developers, builders, and industry experts.
š Exciting Prizes: Demo your projects and compete for cash prizes.Join one of our three tracks
š§ Level 0 - Beginner: For those who are just getting started on their ML Journey!
š Level 1 - Intermediate: For those familiar with some Data Science or ML practices, but looking to level up!
š„ Level 2 - Expert: For those who are the frontier of ML or Computer Vision today looking to make a positive impact!When and Where
10:00 AM ā 5:00 PM Eastern
Northeastern University
Curry Student Center ā Room 346
346 Huntington Avenue, Boston, MASnacks and refreshments will be available!
- Sept 20 - Boston AI, Machine Learning and Computer Vision MeetupMicrosoft NERD New England Research & Development Center , Cambridge, MA
Date and Time
Sept 20, 2024 from 6 PM to 8 PMLocation
The Meetup will take place at Microsoftās New England Research & Development Center (NERD) located at:Deborah Sampson Conference Room
Massachusetts Institute of Technology
1 Memorial Dr, Cambridge, MA 02142Failure Trapping in Large Language Models: AI and Statistical Approaches
This talk will discuss rudimentary and advanced techniques to capture generation failures, misalignment, and harmful prompts in AI.
About the Speaker
Nicholai Mitchko runs a team of 11 solution engineers. Nicholaiās team helps healthcare companies build and deploy medtech solutions. Nicholai has 7 years of Healthcare experience and 2 years large language model research.
Fun with production ML on AWS Lambda (in Python)
A surprising number of analytics and ML pipelines begin life as AWS Lambdas. Cheap, fast, easy to change, and simple to scale from prototype through v1, plus every startup has free AWS credits to burn. Letās explore some hacks for productionizing models and tasks on AWS Lambdas, and when to promote serverless tasks into something else.
About the Speaker
Alison Kunz is a software engineering leader focused on digital products that scale. Bringing over a decade of technical experience with teams ranging from pre-launch to mega-multinational. Passionate about delivering the right software engineering value without burning time, money, or people.
GB-X Model Development: Exploring Four Channel ML Workflows
Machine Learning is rapidly becoming multimodal. With many models in Computer Vision expanding to areas like vision and 3D, one area that has also quietly been advancing rapidly is RGB-X data, such as infrared, depth, or normals. In this talk we will cover some of the leading models in this exploding field of Visual AI and show some best practices on how to work with these complex data formats!
About the Speaker
Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.
- Network event26 attendees from 14 groups hostingSept 24 - Workshop: Getting Started with Computer Vision and FiftyOneLink visible for attendees
About the workshop
Want greater visibility into the quality of your computer vision datasets and models? Then join Harpreet Sahota, Hacker in Residence and Machine Learning Engineer at Voxel51, for this free 90-minute, hands-on workshop to learn how to leverage the open source FiftyOne computer vision toolset.
In the first part of the workshop weāll cover:
- FiftyOne Basics (terms, architecture, installation, and general usage)
- An overview of useful workflows to explore, understand, and curate your data
- How FiftyOne represents and semantically slices unstructured computer vision data
The second half will be a hands-on introduction to FiftyOne, where you will learn how to:
- Load datasets from the FiftyOne Dataset Zoo
- Navigate the FiftyOne App
- Programmatically inspect attributes of a dataset
- Add new sample and custom attributes to a dataset
- Generate and evaluate model predictions
- Save insightful views into the data
Prerequisites are a working knowledge of Python and basic computer vision. All attendees will get access to the tutorials, videos, and code examples used in the workshop.
About the Instructor
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. Heās got a deep interest in RAG, Agents, and Multimodal AI.
- Network event38 attendees from 14 groups hostingSept 26 - AI, ML and Computer Vision MeetupLink visible for attendees
Register for the Zoom:
https://voxel51.com/computer-vision-events/ai-machine-learning-computer-vision-meetup-sept-26-2024/
GPUs at Scale - Trials of a GPUaaS Provider
In the rapidly evolving landscape of machine learning, managing large-scale GPU infrastructure has become a critical challenge for AI practitioners. This presentation delves into the trenches of GPU operations. Through these real-world lessons, we explore how GPU-as-a-Service (GPUaaS) solutions address these pain points, offering scalability, flexibility, and cutting-edge hardware access. Join us for a deep dive into the challenges of computation at scale, the lessons learned from hands-on experience, and a discussion of emerging strategies in GPU infrastructure management.
About the Speaker
Mischa van Kesteren is a Solutions Engineer at NexGen Cloud, focused on Hyperstack, their GPUaaS On-Demand platform. With nearly a decade of experience in the field of HPC and AI, Mischa leads complex solution designs and serves as a thought leader in sustainable and secure AI and HPC practices.
Scaling Industrial AI with FiftyOne
Datasets and models are the two pillars of modern machine learning, but connecting the two can be cumbersome and time-consuming. In this hands-on talk, you will learn how FiftyOne Teams simplifies this complexity in Industrial use cases, enabling more effective data-model co-development. By the end of the talk, you will be able to download and visualize datasets with FiftyOne, explore data embeddings, apply anomaly detection, and effortlessly share your datasets with others.
About the Speaker
Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.
Past events (69)
See all- Network event159 attendees from 14 groups hostingVisual AI in HealthcareThis event has passed
