Jetson AI Lab Research Group
The Jetson AI Lab Research Group is a global collective for advancing open-source Edge ML, open to anyone to join and collaborate with others from the community and leverage each other's work. Our goal is using advanced AI for good in real-world applications in accessible and responsible ways. By coordinating together as a group, we can keep up with the rapidly evolving pace of AI and more quickly arrive at deploying intelligent multimodal agents and autonomous robots into the field.
There are virtual meetings that anyone is welcome to join, offline discussion on the Jetson Projects forum, and guidelines for upstreaming open-source contributions.
Next Meeting - 5/15
The next team meeting is on Wednesday, May 15 at 9am PST - see the invite below or click here to join the meeting.
Topics of Interest
These are some initial research topics for us to discuss and investigate. This list will vary over time as experiments evolve and the SOTA progresses:
| • Controller LLMs for dynamic pipeline code generation | • Fine-tuning LLM/VLM onboard Jetson AGX Orin 64GB |
| • HomeAssistant.io integration for smart home [1] [2] | • Continuous multi-image VLM streaming and change detection |
| • Recurrent LLM architectures (Mamba, RKVW, ect) [1] | • Lightweight low-memory streaming ASR/TTS models |
| • Diffusion models for image processing and enhancement | • Time Series Forecasting with Transformers [1] [2] |
| • Guidance, grammars, and guardrails for constrained output | • Inline LLM function calling / plugins from API definitions |
| • ML DevOps, edge deployment, and orchestration | • Robotics, IoT, and cyberphysical systems integration |
New topics can be raised to the group either during the meetings or on the forums (people are welcome to work on whatever they want of course)
Contribution Guidelines
When experiments are successful, ideally the results will be packaged in such a way that they are easily reusable for others to integrate into their own projects:
- Open-source libraries & code on GitHub
- Models on HuggingFace Hub
- Containers provided by jetson-containers
- Discussions on the Jetson Projects forum
- Documentation & tutorials on Jetson AI Lab
- Hackster.io for hardware-centric builds
Ongoing technical discussions are encouraged to occur on the forums or GitHub Issues, with status updates on projects given during the meetings.
Meeting Schedule
We'll aim to meet monthly or bi-weekly as a team in virtual meetings that anyone is welcome to join and speak during. We'll discuss the latest updates and experiments that we want to explore. Please remain courteous to others during the calls. We'll stick around after for anyone who has questions or didn't get the chance to be heard.
Wednesday, May 15 at 9am PST (5/15/24)
- Microsoft Teams - Meeting Link
- Meeting ID:
221 065 454 301 - Passcode:
dVXWcf - Outlook Invite:
Jetson AI Lab Research Group (51524).ics - Forum Topic:
forums.developer.nvidia.com/t/291650
The agenda will be listed here beforehand - post to the forum to add agenda items. The meetings will be recorded so anyone unable to attend live can watch them after.
Past Meetings
May 1, 2024
Topics Covered:
- Function Calling with Llama-3
- Home Assistant / Wyoming (Mieszko Syty)
- Smart Sorting / Recycling (Alvaro Costa)
April 17, 2024
Topics Covered:
- Ollama Support for Jetson Devices
- Home Assistant Integration
jetson-containerUpdates- Upgrading JetBot with Orin Nano
April 3, 2024
Project Kickoffs:
Active Members
Below are shown some of the sustaining members of the group who have been working on generative AI in edge computing:
Nurgaliyev ShakhizatInstitute of Smart Systems and AI | Kazakhstan
(Assistive Devices, Vision2Audio, HPC)
Kris Kersey, Kersey FabricationsEmbedded Software Engineer | Atlanta, GA
(The OASIS Project, AR/VR, 3D Fabrication)
Johnny Núñez CanoPhD Researcher in CV/AI | Barcelona, Spain
(Recurrent LLMs, Pose & Behavior Analysis)
Doruk Sönmez, Open ZekaIntelligent Video Analytics Engineer | Turkey
(NVIDIA DLI Certified Instructor, IVA, VLM)
Akash James, Spark CognitionAI Architect, UC Berkeley Researcher | Oakland
(NVIDIA AI Ambassador, Personal Assistants)
Mieszko Syty, MS/1 DesignAI/ML Engineer | Warsaw, Poland
(LLM, Home Assistants, ML DevOps)
Dana Sheahen, NVIDIADLI Curriculum Developer | Santa Clara, CA
(AI in Education, Jetson AI Fundamentals)
Elaine Wu, Seeed StudioAI & Robotics Partnerships | Shenzhen, China
(reComputer, YOLOv8, LocalJARVIS, Voice Bot)
Patty Delafuente, NVIDIAData Scientist & UMBC PhD Student | MD
(AI in Education, DLI Robotics Teaching Kit)
Bryan Hughes, Mimzy AIFounder, Entrepreneur | SF Bay Area
(Multimodal Assistants, AI at the Edge)
Jesse Flot, CMU Robotics AcademyCo-Director | Pittsburgh, PA
(Applied AI & Robotics, Autonomy Foundations)
Paul DeCarlo, MicrosoftProfessor | University of Houston
(Azure IoT, Video Analytics, Microsoft JARVIS)
Mike Hansen, Nabu CasaVoice Engineering Lead | Urbandale, Iowa
(Home Assistant, Piper TTS, Wyoming)
Lakshantha Dissanayake, UltralyticsEmbedded CV Engineer | Vancouver, BC
(YOLOv8, TensorRT, DeepStream)
David Pearson, ConnectTechEmbedded Systems Engineer | Ontario, CA
(Edge AI Systems, Vision/Language Models)
