ML@SJSU的封面图片
ML@SJSU

ML@SJSU

软件开发

San Jose,California 315 位关注者

Machine Learning Club at San Jose State University

关于我们

Whether it is through teaching people via workshops, cutting edge research paper discussions, or helping people build connections, our goal is to build a strong and welcoming community where machine learning enthusiasts can thrive.

网站
https://www.mlatsjsu.com/
所属行业
软件开发
规模
11-50 人
总部
San Jose,California
类型
非营利机构

地点

  • 主要

    1 Washington Sq

    US,California,San Jose,95112

    获取路线

ML@SJSU员工

动态

  • 查看ML@SJSU的组织主页

    315 位关注者

    It was an absolute pleasure hosting Dr. Jeremy Coupe at our latest event in San Jose State University. His deep dive into the transformative role of AI/ML in sustainable aviation offered a peek into the future of eco-friendly travel and efficient airport management. We are incredibly grateful for the opportunity to engage with such pioneering work and learn about the dedication behind these advancements. The future is indeed looking brighter with leaders like you at NASA - National Aeronautics and Space Administration guiding the way in aerospace innovation. Thank you Jeremy Coupe, our officers, and all those who attended for making this session insightful and inspiring. Event slides can be accessed here: https://lnkd.in/g8nUSHbv #AerospaceEngineering #MachineLearning #Sustainability #NASA #SJSU #Innovation

    查看Sohan Vallapureddy的档案

    Seeking AI/ML SWE Roles | MS CS at SJSU | Ex Amazon

    Thrilled to reflect on today's session with Jeremy Coupe, an Aerospace Engineer at NASA - National Aeronautics and Space Administration whose work is redefining the trajectory of aviation technology ?? With a focus on sustainable flight and the integration of AI/ML technologies in aviation, Dr. Coupe is at the helm of NASA's initiatives that are making air travel more efficient and eco-friendly. His expertise, honed with a PhD in Computer Engineering from UC Santa Cruz, has been instrumental in the development of NASA's Machine Learning Airport Surface Model. Highlights of the session: ?? We delved into the journey from conventional physics based systems to machine learning, addressing the challenges and solutions along the way. ?? Celebrated the achievements of NASA's dedicated teams in reaching high accuracy levels with machine learning systems, now deployed at Dallas Airport and soon to enhance operations at Houston Airport. ???Explored the intricacies of the machine learning airport surface model, paving the way for scalable, efficient airport management. ???Observed the enhanced predictability in operations management, particularly in the accuracy of arrival and departure predictions, which now set a new benchmark in the field. For those in the field, or just curious about the intersection of AI, machine learning, and aviation, I recommend exploring the NASA open-source repositories. A heartfelt thank you to Dr. Coupe from ML@SJSU team for sharing his insights and experiences. The future of aviation is brighter because of leaders like him. #AerospaceEngineering #MachineLearning #ArtificialIntelligence #SustainableAviation #NASA #SJSU #Leadership #Innovation

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