- 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 you’re 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. Don’t 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
🚀 Tech Talks: Deep dive tech talks on Computer Vision and Data-Centric AI.
🔧 Hands-on Workshops: Learn how to build AI applications through code examples
🏅 Engaging Challenges: Tackle real-world problems with AI solutions.
🤝 Networking Opportunities: Connect with fellow developers, builders, and industry experts.
🎁 Exciting Prizes: Demo your projects and compete for cash prizes.Join one of our three tracks
🧭 Level 0 - Beginner: For those who are just getting started on their ML Journey!
🛞 Level 1 - Intermediate: For those familiar with some Data Science or ML practices, but looking to level up!
🔥 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 – 5:00 PM Eastern
Northeastern University
Curry Student Center – 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 Microsoft’s 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. Nicholai’s 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. Let’s 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 we’ll 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. He’s 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.
- Network event7 attendees from 14 groups hostingOct 9 - Workshop: Developing Data-Centric AI Apps with FiftyOne PluginsLink visible for attendees
Register for the Zoom:
https://voxel51.com/computer-vision-events/developing-fiftyone-plugins-workshop-oct-9-2024/
Are you ready to take your computer vision tooling to the next level? Open source FiftyOne is the most flexible computer vision toolkit on the planet. By tapping into its built-in FiftyOne Plugin framework, you can extend your FiftyOne experience and streamline your workflows, building Gradio-like applications with data at their core.
From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.
The FREE workshop will cover:
- FiftyOne Plugins – what are they?
- Installing a plugin
- Creating your own Python plugin
- Curate your own AI art gallery with DALLE3, SDXL, and Latent Consistency Models
- Bring GPT4 Vision directly to your data
- Run OCR, semantic document searches, and make your textual data visual
- Create an open-vocabulary labeling interface
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. All attendees will get access to the tutorials, videos, and code examples used in the workshop.
About the Instructor
Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes.
- Network event27 attendees from 14 groups hostingOct 10 - 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-oct-10-2024/
How Renault Leveraged Machine Learning to Scale Electric Vehicle Sales
In 2019, Renault sought a scalable solution to estimate the cost of home charging station installations for electric vehicle buyers. A machine learning solution using satellite images and a shortest-path algorithm was developed to automate this process. Despite challenges, the optimized solution was deployed as a cloud-based API, enabling Renault to scale their EV sales from 50,000 in 2019 to over 220,000 in 2022.
About the Speaker
With a PhD in Physics, Vincent Vandenbussche has over a decade of experience deploying scalable machine learning solutions for leading companies like Renault and Chanel. He is also passionate about sharing his expertise through Medium posts and his book, The Regularization Cookbook.
RGB-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 Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.
Elasticsearch is for the Birds: Identifying Feathered Friend Embedding Images as Vector Similarity Search
Search no longer has to be a traditional term / frequency-inverse document frequency slog. The current trend of machine learning and models has opened another dimension for search, quite literally. In this talk we’ll cover “classic” search and its inherent limitations, what a model is and how you can use it.
Next, we’ll look at how to perform vector search or hybrid search using images of birds in Elasticsearch, generate embeddings from images and then use the techniques we learned to propose the most probable similar images after uploading our own image. We’ll close the talk with an overview of various enhancements to increase the performance and usability of your searches.
About the Speaker
Justin Castilla is a Senior Developer Advocate at Elastic based in Seattle. His main focus is education and developer empowerment, and enjoys sharing knowledge and learning experiences with everyone.
- Network event2 attendees from 14 groups hostingOct 30 - Workshop: Getting Started with Computer Vision and FiftyOneLink visible for attendees
Register for the Zoom
https://voxel51.com/computer-vision-events/getting-started-with-fiftyone-workshop-oct-30-2024/
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 we’ll 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. He’s got a deep interest in RAG, Agents, and Multimodal AI.
- Network event1 attendee from 14 groups hostingNov 6 - Workshop: Developing Data-Centric AI Apps with FiftyOne PluginsLink visible for attendees
Register for the Zoom:
https://voxel51.com/computer-vision-events/developing-fiftyone-plugins-workshop-nov-6-2024/
Are you ready to take your computer vision tooling to the next level? Open source FiftyOne is the most flexible computer vision toolkit on the planet. By tapping into its built-in FiftyOne Plugin framework, you can extend your FiftyOne experience and streamline your workflows, building Gradio-like applications with data at their core.
From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.
The FREE workshop will cover:
- FiftyOne Plugins – what are they?
- Installing a plugin
- Creating your own Python plugin
- Curate your own AI art gallery with DALLE3, SDXL, and Latent Consistency Models
- Bring GPT4 Vision directly to your data
- Run OCR, semantic document searches, and make your textual data visual
- Create an open-vocabulary labeling interface
Prerequisites
A working knowledge of Python and basic familiarity with FiftyOne. All attendees will get access to the tutorials, videos, and code examples used in the workshop.
About the Instructor
Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes.
- Network event15 attendees from 14 groups hostingNov 14 - 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-nov-14-2024/
Human-in-the-loop: Practical Lessons for Building Comprehensive AI Systems
AI systems often struggle with data limitations, data distribution shift over time, and a poor user experience. Human-in-the-loop design offers a solution by placing users at the center of AI systems and leveraging human feedback for continuous improvement.
In this talk, we'll dive deeply into a recent project at Merantix Momentum: A interactive tool for automatic rodent behaviour analysis in videos at a large scale. We'll discuss the machine learning components, including pose estimation, behavior classification, and active learning and talk about the technical challenges and the impact of the project.
About the Speaker
Adrian Loy has a Msc in IT Systems Engineering and spent the last 5 years at Merantix Momentum planning and executing Computer Vision Projects for a variety of clients. He is currently leading the Machine Learning Engineering Team at Momentum.
Curating Excellence: Strategies for Optimizing Visual AI Datasets
In this talk Harpreet will discuss common challenges plaguing visual AI datasets, their impact on model performance, and share some tips and tricks for curating datasets to make the most of any compute budget or network architecture.
About the Speaker
Harpreet Sahota 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 RAG, Agents, and Multimodal AI.
