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X-WR-CALNAME:Huntsville AI
X-ORIGINAL-URL:https://hsv.ai
X-WR-CALDESC:Events for Huntsville AI
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TZID:America/Chicago
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TZOFFSETFROM:-0600
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DTSTART:20240310T080000
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DTSTART:20241103T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240529T180000
DTEND;TZID=America/Chicago:20240529T200000
DTSTAMP:20260405T172055
CREATED:20240505T034153Z
LAST-MODIFIED:20240528T022456Z
UID:1649-1717005600-1717012800@hsv.ai
SUMMARY:Summer Social
DESCRIPTION:We are going to take a break from the formal sessions this week to get together at Stovehouse and hang out for a bit. This is a great opportunity to relax and meet others involved in Huntsville AI. We have a wide variety of backgrounds\, so I always learn something interesting. This officially starts at 6pm\, but I will be there early if anyone wants to help hold a table. \nWe’re suspending the RAG series for the next two sessions\, but will resume at the end of June. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries: \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nLinks: \n\nhttps://www.stovehouse.com/\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 05/29/2024\nTime – 6-8pm\nLocation – Stovehouse – most likely near the Pourhouse
URL:https://hsv.ai/event/summer-social/
LOCATION:Stovehouse\, 3414 Governors Dr SW\, Huntsville\, AL\, 35805
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2022/05/220316-Social.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240515T180000
DTEND;TZID=America/Chicago:20240515T190000
DTSTAMP:20260405T172055
CREATED:20240505T033848Z
LAST-MODIFIED:20240513T035034Z
UID:1644-1715796000-1715799600@hsv.ai
SUMMARY:OpenAI API
DESCRIPTION:This week we will cover the use of the OpenAI API with both llama-cpp-python and OpenAI itself. After this session\, you will have a solid understanding of how to use the chat completion API along with an approach to run the same code locally against llama-cpp-python. \nWe will cover account setup\, billing & budgets\, as well as the python code needed to make function calls. Next we will show the same python code running against a locally hosted model. \nUpdates: \n\nThe videos page at https://hsv.ai/videos/ is updated through our last meetup\, so if you want to catch up on previous sessions – give that a shot.\nThe meetups through the summer months are all planned – check the schedule toward the end of this email\, as well as https://hsv.ai/calendar/\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries: \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nLinks: \n\nhttps://platform.openai.com/docs/api-reference\nhttps://github.com/abetlen/llama-cpp-python\nhttps://llama-cpp-python.readthedocs.io/en/latest/\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 05/15/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/81984208192?pwd=VkYySnpjQ0hOblB2bEt3c1JlMXdBdz09
URL:https://hsv.ai/event/openai-api/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240501T180000
DTEND;TZID=America/Chicago:20240501T190000
DTSTAMP:20260405T172055
CREATED:20240428T135334Z
LAST-MODIFIED:20240428T135334Z
UID:1640-1714586400-1714590000@hsv.ai
SUMMARY:Deep Dive with Llama-Cpp-Python
DESCRIPTION:This week we will take another look at llama-ccp\, this time using the python wrapper available in llama-cpp-python. This library can be installed and imported directly\, or run as a separate service available through the OpenAI API. \nWe covered the basics of llama-cpp last year and looked through the different quantization approaches available. It provides a great way to run a lower level model using only CPU resources and RAM. There is some quality loss due to the quantization\, but the results are good enough for prototyping at a much lower cost. \nAgenda: \n\nIntroduction to Llama-cpp-python\nInstallation and configuration\nPython API\nOpenAI API\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries: \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nI hope to have the video from our last session posted today. You can check for updates at https://hsv.ai/videos \nLinks: \n\nhttps://github.com/abetlen/llama-cpp-python\nhttps://llama-cpp-python.readthedocs.io/en/latest/\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 05/01/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/82295484520?pwd=cU1ETGNrS3NtY1hsUmNmRVJDUmNsUT09
URL:https://hsv.ai/event/deep-dive-with-llama-cpp-python/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/04/llama-cpp-python.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240424T180000
DTEND;TZID=America/Chicago:20240424T190000
DTSTAMP:20260405T172055
CREATED:20240129T035257Z
LAST-MODIFIED:20240422T045353Z
UID:1555-1713981600-1713985200@hsv.ai
SUMMARY:2024 SBIR Topics Round 2
DESCRIPTION:SBIR/STTR Topics \nThe second round of SBIR Topics for DoD were released last week. As usual\, we will go through any that are labeled as Machine Learning or Artificial Intelligence – which looks like 13 SBIR and 9 STTR out of 176 total topics. \nYou can find the full list below in the Links\, just search for Learning or Artificial. \n2024 AI Symposium \nThe sessions from the Space and Rocket Center AI Symposium were recorded and just released on YouTube! Based on my notes from the sessions that I was able to attend\, they range from high level overviews to in-depth use of AI. I believe that all of them would be considered practical rather than theoretical. Again – look for the link below. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries (picking back up next week): \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nSessions from this series so far are being posted at https://hsv.ai/videos \nLinks: \n\nDefense SBIR/STTR Portal – https://www.dodsbirsttr.mil/topics-app/\nSpace & Rocket Center AI Symposium Videos – https://www.youtube.com/playlist?list=PLvvHQqQynqmtkQuLsvfFtmy0OohBcA5H4\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\nDetails: \n\nDate – 04/24/2024\nTime – 6-7pm\nLocation – Zoom\nZoom –https://us02web.zoom.us/j/88996968876?pwd=VzdPTDIzclpxL1FqdHU5cXJPbDVYZz09
URL:https://hsv.ai/event/2024-sbir-topics-round-2/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2023/01/SBIR-Topics.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240417T180000
DTEND;TZID=America/Chicago:20240417T190000
DTSTAMP:20260405T172055
CREATED:20240415T033658Z
LAST-MODIFIED:20240415T033658Z
UID:1627-1713376800-1713380400@hsv.ai
SUMMARY:Choosing an Embedding Model
DESCRIPTION:We have Josh Phillips presenting this week\, so you don’t want to miss this! \nJoin us as we explore the crucial task of selecting optimal embedding models to enhance AI performance across a variety of applications. This meetup will delve into the Multilingual Transferable Embedding Benchmark (MTEB)\, a pivotal resource providing a comprehensive framework to evaluate embedding models over diverse task categories and numerous languages. The selection of the right embedding model is vital\, yet challenging due to the myriad of options and their inherent trade-offs. \nThis presentation will not only introduce you to MTEB’s holistic approach across eight core NLP tasks but will also guide you through the practical steps of identifying\, shortlisting\, and benchmarking models to find the best fit for your specific needs. \nAgenda: \n\nIntroduction to Embedding Models – Gain insights into why choosing the right model is critical for AI tasks.\nOverview of MTEB – Understand the framework of the Multilingual Transferable Embedding Benchmark and its application across 100+ languages.\nDeep Dive into MTEB Tasks – Explore the eight fundamental tasks within MTEB\, including bitext mining\, classification\, clustering\, and more.\nCase Studies – Walk through real-world use cases\, demonstrating how to apply MTEB in selecting models for tasks such as walking path recommendations\, form filling automation\, and building a documentation assistant.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries: \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nI hope to have the video from our last session posted today. You can check for updates at https://hsv.ai/videos \nLinks: \n\nMultilingual Transferable Embedding Benchmark (MTEB)\nMTEB Github\nMTEB Paper\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 04/17/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/81626946368?pwd=c2M3QTlXSy9ZS20xdkZrUHBIMHdOdz09
URL:https://hsv.ai/event/choosing-an-embedding-model/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/04/Choosing-an-Embedding-Model.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240403T180000
DTEND;TZID=America/Chicago:20240403T190000
DTSTAMP:20260405T172055
CREATED:20240402T032141Z
LAST-MODIFIED:20240402T032141Z
UID:1622-1712167200-1712170800@hsv.ai
SUMMARY:Document Chunks with LLM Sherpa
DESCRIPTION:Continuing our discussion about Retrieval Augmented Generation (RAG)\, this week we will incorporate LLM Sherpa to provide chunks of text from PDF documents that have been retrieved from the NASA archive. \nOur initial attempt used PyPDF2 to read text from the PDF documents. It was very slow and provided limited strings of text that did not match the paragraphs in the documents. We’ll take a look back at what was available at the time\, and then look through the LLM Sherpa API and see what it looks like with that piece incorporated. \nAs we get further into this project update\, it has become apparent for the need to split the monolithic application into components that can be hosted and updated separately. We will go through what has been done so far to containerize both the ChromaDB vector database and the LLM Sherpa for chunking.
URL:https://hsv.ai/event/document-chunks-with-llm-sherpa/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/04/LLM-Sherpa.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240320T180000
DTEND;TZID=America/Chicago:20240320T190000
DTSTAMP:20260405T172055
CREATED:20240319T021430Z
LAST-MODIFIED:20240319T021430Z
UID:1615-1710957600-1710961200@hsv.ai
SUMMARY:Vector Store with ChromaDB
DESCRIPTION:Continuing our discussion about Retrieval Augmented Generation (RAG)\, this week we will incorporate ChromaDB as the storage and query mechanism for the embeddings. Our initial SpaceApps submission held all of the embeddings in memory and used a cosine similarity metric for queries. We will go through the ChromaDB API and design decisions required to replace the custom approach with a more robust solution. \nThe initial work for converting this is posted in the SpaceApps repo linked below if you want to check it out early. Also – I double-checked our availability at HudsonAlpha\, so we are set for an in-person meetup if you can make it. \nSeries: \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nI hope to have the video from our last session posted today. You can check for updates at https://hsv.ai/videos \nLinks: \n\nChroma DB – https://github.com/chroma-core/chroma\nRAG Paper – https://arxiv.org/pdf/2005.11401.pdf\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 03/20/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/81139026249?pwd=bTR1VUoxRGMrN3I1VnN1NVRDNkdIZz09
URL:https://hsv.ai/event/vector-store-with-chromadb/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/03/ChromaDB.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240306T180000
DTEND;TZID=America/Chicago:20240306T190000
DTSTAMP:20260405T172055
CREATED:20240305T043134Z
LAST-MODIFIED:20240305T043134Z
UID:1606-1709748000-1709751600@hsv.ai
SUMMARY:Retrieval Augmented Generation
DESCRIPTION:This week we will be talking about Retrieval Augmented Generation – also known as RAG. The basic premise is to use an existing LLM to generate content based on an existing collection of documents. This removes the need to fine-tune an LLM\, which is cost prohibitive and hardware constrained. \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nFor this session\, we will cover an overview of RAG as well as walk through the submission from the challenge. I have recently updated it to work with current versions of the dependent libraries – so we can demonstrate the starting point for this project. \nAlso – if you missed last week’s session on AI & Video – you can find the recording here – https://hsv.ai/2024/02/22/ai-breakthroughs-in-video/ \nLinks: \n\nRAG Paper – https://arxiv.org/pdf/2005.11401.pdf\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 03/06/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/82845221441?pwd=cEdZYXBlVm1naC82U0dpZlljV1B6Zz09\n\n\nHope to see you soon!\n-J.
URL:https://hsv.ai/event/retrieval-augmented-generation/
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/03/Retrieval-Augmented-Generation.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240301T180000
DTEND;TZID=America/Chicago:20240303T180000
DTSTAMP:20260405T172055
CREATED:20240129T033844Z
LAST-MODIFIED:20240129T033844Z
UID:1550-1709316000-1709488800@hsv.ai
SUMMARY:HudsonAlpha Tech Challenge
DESCRIPTION:This is a placeholder for the HudsonAlpha Tech Challenge. We usually support this event with mentors and/or teams to compete.
URL:https://hsv.ai/event/hudsonalpha-tech-challenge/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/01/Hatch-2024.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240221T180000
DTEND;TZID=America/Chicago:20240221T190000
DTSTAMP:20260405T172055
CREATED:20240129T033417Z
LAST-MODIFIED:20240218T190012Z
UID:1548-1708538400-1708542000@hsv.ai
SUMMARY:AI Breakthroughs in Video
DESCRIPTION:This week we will be talking about some exciting breakthroughs in video generation and understanding. The main splash was with OpenAI’s announcement of Sora last week\, but there have also been similar releases and updates from Google\, Apple\, and UC Berkeley. There’s a description of each below if you want to read ahead. It will be impossible to cover all of these papers in an hour\, so let me know if you want to do a deeper dive into these at a later meetup. \nFebruary 15 – OpenAI Sora – “Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt.” There is no paper linked to the release\, but the post on OpenAI that covers the technical details is really good. \n\nhttps://openai.com/sora\nhttps://openai.com/research/video-generation-models-as-world-simulators\n\n\nFebruary 13 – UC Berkely – Large World Model – this is a multi-model (text and video) model capable of processing 1M tokens. It can generate images and videos as well as describe the content of videos or answer questions about what happened in a video.   \n\nhttps://largeworldmodel.github.io/\nhttps://huggingface.co/LargeWorldModel\nhttps://arxiv.org/abs/2402.08268\n\n\nFebruary 8 – Apple KeyFramer – “A design tool for animating static images (SVGs) with natural language”. This isn’t necessarily a video tool\, but generates CSS code to animate an SVG. \n\nhttps://arxiv.org/abs/2402.06071\nhttps://www.theverge.com/2024/2/14/24072917/apple-keyframer-ai-animation-tool-2d-images-text-descriptions\n\n\nJanuary 23 – Google Lumiere – Text to Video\, Image to Video\, and Stylized Generation. \n\nhttps://lumiere-video.github.io\nhttps://arxiv.org/abs/2401.12945\n\n\nOctober 31\, 2023 – SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction – I’m not sure how to attribute this to a particular organization\, since it appears that several Chinese universities contributed. While not quite as impressive as the other releases above\, it shows a broader move to video generation. \n\nhttps://vchitect.github.io/SEINE-project/\nhttps://arxiv.org/abs/2310.20700\nhttps://github.com/Vchitect/SEINE\n\n\nDetails: \n\nDate – 02/21/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/81284789520?pwd=SVk0bGFtR2UrYklaRzRtajNYbUtRZz09
URL:https://hsv.ai/event/topic-tbd-2/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/01/AI-Breakthrough-in-Video.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240207T180000
DTEND;TZID=America/Chicago:20240207T190000
DTSTAMP:20260405T172055
CREATED:20240129T033058Z
LAST-MODIFIED:20240206T030759Z
UID:1544-1707328800-1707332400@hsv.ai
SUMMARY:AI Challenges and Competitions
DESCRIPTION:AI Challenges and Competitions will be the subject of our next meetup on Feb 7th.  We switched our meetups to the 1st and 3rd Wednesdays for the month of February. We will likely stick to this through May. \nWhen we started Huntsville AI back in 2018\, the primary avenue for challenges and competitions was Kaggle. This brought notoriety to several people (e.g. Jeremy Howard) and led to an approach for quickly iterating through several approaches to find the model or data manipulation that best fit the problem. \nThe landscape for challenges and competitions is now much different\, with many requiring a significant resource investment in hardware to be able to compete. We’ll take a look at several organizations that manage these competitions and walk through a few open competitions to discuss. \nLinks: \n\nChallenge.gov\nKaggle\nNumer.ai\nDriven Data\nAI Crowd\nML Contests\n\n\nDetails:\n\nDate – 02/07/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/88417365505?pwd=dGFDZTZzbUNtclRrODFOSUZUM3BSUT09\n\n\nHudsonAlpha Tech Challenge (HATCH) will be March 1-3 this year. They are not doing sessions specific to HATCH leading up to the event\, so we will stick to our normal AI focused programming. If you would like to sign up as a tech mentor\, there are still a lot of slots available. Sign up on their Sign-up Genius Form. \nHuntsville AI Task Force is an effort by the City of Huntsville to put together a group of people to evaluate the impact of AI on Huntsville’s workforce and provide guidance to shape future efforts from the city. I was invited to participate and will be flowing information and questions to you. So far\, there are members of this task force from the usual RSA folks (Army\, FBI\, NASA) along with HudsonAlpha\, UAH\, AAMU\, Huntsville Hospital\, Mazda Toyota\, IBM\, and Meta. There was a kickoff meeting on January 26\, with the next meeting to follow at the end of this month. \nSpace and Rocket Center AI Symposium is happening on February 20-23. This might be of interest of you have the $450 to sign up for both days. If some of our folks can attend\, maybe we can put together on overview to present afterward to help with our vision: “Our vision is a group of individuals and organizations in the metro Huntsville area who collaboratively advance the knowledge and application of artificial intelligence in ways that make it available to everyone and improve our quality of life.” \nTopics for 2024 will be the end or our discussion on Wednesday. From the end of 2022 and all the way through 2023\, there were ground-breaking announcements on a monthly basis that made it difficult to plan ahead. I feel like this may be settling down for a minute\, so we should be able to get back to something more sensible. Take a look at what we have planned and completed in the past to see what’s already on the board. I have some scheduled based on SBIR topic releases\, but I need your feedback for what other topics you would like to cover. You can reach the board on Github here: https://github.com/HSV-AI/presentations/projects/1
URL:https://hsv.ai/event/topic-tbd/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/01/AI-Challenges-Competitions.png
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