NomadicML’s Post

𝐀 𝐲𝐨𝐮𝐧𝐠 𝐭𝐞𝐚𝐦 𝐨𝐟 𝐩𝐢𝐨𝐧𝐞𝐞𝐫𝐬 𝐢𝐧 𝐕𝐢𝐬𝐮𝐚𝐥 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐒𝐲𝐬𝐭𝐞𝐦𝐬, NomadicML (PearX S24) 𝐡𝐚𝐬 𝐣𝐨𝐢𝐧𝐞𝐝 𝐭𝐡𝐞 Autoware Foundation 𝐚𝐬 𝐚𝐧 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐦𝐞𝐦𝐛𝐞𝐫! 🚗✨ NomadicML brings deep expertise in machine learning infrastructure — powering the processing of millions of hours of driving footage to enable scalable, end-to-end AI development. Their vision strongly aligns with Autoware’s mission, as they see tremendous synergy with our open-source approach to autonomous driving. As part of their membership, they commit to: 🔹 Integrate the NomadicML Platform and offer utility for intelligent data curation to automatically identify valuable training data 🔹 Provide dedicated resources and consultation to support Autoware’s AI-first, end-to-end model development ⚙️ In addition, at later stages of their engagement, NomadicML will help design and implement modern MLOps pipelines for efficient large-scale model training, enabling faster iteration and scalability for Autoware’s AI-first future. 💡 Here’s a good example of how NomadicML can be useful to the community: In a recent blog post, they demonstrated how their two-step pipeline transforms the open-source Honda Driving Dataset (HDD) from raw video into structured, training-ready datasets. This showcases how the NomadicML Platform can streamline data curation and accelerate model development. 🔗 Read the full post here: 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵𝘭𝘺 𝘊𝘶𝘳𝘢𝘵𝘪𝘯𝘨 𝘝𝘪𝘥𝘦𝘰 𝘋𝘳𝘪𝘷𝘪𝘯𝘨 𝘋𝘢𝘵𝘢𝘴𝘦𝘵𝘴 𝘶𝘴𝘪𝘯𝘨 𝘵𝘩𝘦 𝘕𝘰𝘮𝘢𝘥𝘪𝘤𝘔𝘓 𝘗𝘭𝘢𝘵𝘧𝘰𝘳𝘮 https://lnkd.in/edAdKv2U NomadicML will initially participate in the Privately Owned Vehicle Working Group, while also exploring opportunities to contribute across other working groups as their journey with Autoware evolves. 🎉 We’re excited to have NomadicML on board and look forward to accelerating Autoware’s transition to an AI-first future together! 🚀💡 Visit NomadicML’s website to learn more about them ⤵️ https://www.nomadicml.com/ #Autoware #NewMember #MemberAnnouncement #OpenSource #AutonomousDriving #AI #MLOps #NomadicML Shinpei Kato Yang Zhang Suraj Gajendra Christian John Daisuke Tanaka Ryohsuke Mitsudome Johannes Betz Samet Kütük Muhammad Zain Khawaja Steve Taylor Rahul Mangharam Mustafa Bal Varun Krishnan