Good Monday morning friends! I recently learned that the NASA - National Aeronautics and Space Administration Office of Small Business Programs offers a series of webinars with in-depth training relevant to small businesses. These webinars will provide the opportunity to ask questions directly to key points of contact at the Agency. In addition, their podcast series explores a wide range of topics from NASA and other agencies to determine how they see the small business program and what small businesses can do to support them. Check it out! The next one is coming up on February 21. #aerospace #nasa #smallbusinessgrowth #webinars
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How does NASA - National Aeronautics and Space Administration keep engineers engaged in its knowledge management strategy? Former NASA's Chief Knowledge Officer, Roger Forsgren, answers this on Invisible Machines. Also, why top-notch engineering isn't immune to human error and why ethics training matters. Tune in to this week’s episode of Invisible Machines for the whole conversation! https://lnkd.in/dUwxdr7X #tech #ethicalai #invisiblemachines #ai #podcast #aipodcast #generativeai #collaboration #innovation #knowledgemanagement #NASA #datascience #training #KM #leanKM
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Can your model handle the complexities of real-world uncertainty? This is your opportunity to address one of the most critical questions in science and engineering: How do we make optimal decisions in the face of uncertainty? If you find these topics interesting, make sure to sign up for the "NASA & DNV Challenge on Optimization Under Uncertainty"
We're excited to be a trusted partner for NASA - National Aeronautics and Space Administration, working together to increase safety and reliability for projects that push the limits of engineering. Whether calculating the stresses in a spacecraft during launch, or assessing how an offshore structure will cope with extreme ocean conditions, decisions often need to be made without the benefit of extensive real-world testing. How can the enormous risks in these situations be managed to enable innovation, even with so much uncertainty? To tackle this issue, NASA and DNV are inviting experts to solve a mathematical challenge. Participants will gain access to DNV's Simulation Trust Center (STC) to generate synthetic data that represents the real world and to test their solution. ╰┈➤ Read the press release to learn more: https://lnkd.in/dUG-vr2Q [EDIT] Please note that the date in the image should read December 16 2024, which is when the press release was published. The deadline for registering new teams is December 27 2024.
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Welcome to the hybrid mode of business dealing. Scientific knowledge exchange throughout online modes helps to connect faster and saving digital energy, in turn helping in the evolution of Generative AI of OpenAI. Collaboration with NASA and Microsoft May be we can make a better Space exploration agency as “Elon Musk” visionary is. “Iron Oxy Hydroxide Nanoparticle Synthesis and its application as DNA locking and modulating nanorobots leading to human robotics”. NASA - National Aeronautics and Space Administration OpenAI
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KnowHax accelerates tech adoption and drives innovation by fostering collaboration between students and company employees. Through co-creation, participants have the unique opportunity to partner with top experts and talent, learn cutting-edge AI technologies, and brainstorm ways to leverage these advancements. This collaborative approach not only enhances participants' skills but also leads to the development of new processes or products, pushing the boundaries of what's possible in tech. Join us in transforming ideas into reality and shaping the future of technology! 🚀 Our Sponsors & Organizers: Accenture NASA - National Aeronautics and Space Administration The Knowledge Graph Conference NOAA: National Oceanic & Atmospheric Administration National Science Foundation (NSF) #KnowHax2024 #Innovation #TechAdoption #Collaboration #AI #CoCreation #FutureTech
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This is a great news for All users of high-resolution #Satellite data for #EarthSystem studies & applications, from both Planet & NASA - National Aeronautics and Space Administration Communities & and well beyond internationally, because #PublicPrivatePartnerships are recognised globally as a key way forward to accelerate and make sure more & more #EarthObservation enter our every day life powering a #GreenEconomy that protects and cares for #PeopleandPlanet. Are you keen to know more on how public purchases of data can be done in a #WinWinWin scenarios for both companies, public entities, and society? Then please consult these important documents prepared by the latest #CGMS on the « CGMS best practices on relationship with the private sector on commercial data purchases » (endorsed by CGMS-52 plenary, in June 2024) 👉 https://lnkd.in/ePu426Xj The World Meteorological Organization is keen to support data sharing as the quality of #WeatherForecasting & #EnvironmentalMonitoring are both crucially related to the amount of data available for #Modelling & #Verification. The #WMO strong support is via dedicated infrastructure & service coordination so that data can become accessible to largest amount of users and in an interoperable manner under the #WIS2 platform in observance to the #WMO #UnifiedDataPolicy 👉 https://lnkd.in/esZSdfAh Shared with Planet GHGSAT Carbon Mapper MethaneSAT Environmental Defense Fund CEOS (Committee on Earth Observation Satellites) #CGMS European Space Agency - ESA EUMETSAT NOAA: National Oceanic & Atmospheric Administration JAXA: Japan Aerospace Exploration Agency ISRO - Indian Space Research Organization INPE EUSPA - EU Agency for the Space Programme #EW4All #GBON #G3W
Our data-sharing partnership with NASA’s Commercial SmallSat Data Acquisition Program (CSDA) will be continuing! Thrilled to announce a four-year extension of our participation in CSDA through 2028 – in which we’ll continue to provide Planet data to federally-funded researchers for a wide range of applications across climate science, biodiversity loss, disaster responses, and more. We’re proud to continue our work with NASA - National Aeronautics and Space Administration, a leader in using commercial data for scientific discoveries, and to be a part of this coalition of discovery and innovation. Read more: https://lnkd.in/gsyWs8Sh
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Ah, love this! NASA - National Aeronautics and Space Administration is teaming up with Microsoft to create an AI chatbot designed to make it easier to access and understand scientific data about the Earth. The tool, called Earth Copilot, is designed to make it easier to access and understand NASA’s database of information. We should have chat bots for all general knowledge facts, created by the responsible organizations, using real data. Maybe not by Microsoft Copilot, as they are still figuring they way out, but OpenAI or Claude could support!
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Deputy Chief Technologist at NASA Jet Propulsion Laboratory, California Institute of Technology
Join me, in person or on-line, at AIAA ASCEND for these exciting sessions: MICRO-07: Should Technology Advances Drive Decadal Survey Science or Vice Versa? MICRO-10: Technology Microtrends that are Shaping the Future of Aerospace MICRO-21: What the Success of Spaceborne Optical Communications Means for the Future of Solar System Exploration MICRO-23: Can Large Strategic Science Missions Benefit from Class-D/SmallSat Mission Lesson’s Learned? MICRO-30: AI and Autonomy for Robotic Lunar Rover Surface Exploration SPEC-08: Pickering Lecture: 'Europa Clipper: First NASA Mission to an Ocean World' FL-12: Autonomy to Enable NASA Missions from Aeronautics to Space F360-13: NASA’s Agency and Center Chief Technologists: Technology Maturation and Infusion
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When it comes to unlocking the secrets of the universe, processing vast amounts of data is essential. At #SC24, Jeniece Wnorowski connected with NASA - National Aeronautics and Space Administration's Laura Carriere, Climate Simulation High Performance Computing Lead, for a fascinating conversation. Together, they explored how Laura’s team leverages HPC and machine learning to make incredible discoveries—like identifying systems with three sets of binary stars gravitationally bound. 🌌✨ Dive deeper into NASA’s innovative approach to modeling aerosols in the atmosphere, using modular compute infrastructure to keep their HPC systems cutting-edge on a budget, and efficiently managing massive datasets. Don’t miss the full discussion for a closer look at how NASA blends science and technology to push the boundaries of discovery:
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I really enjoyed sharing some insights on the evolution of digital transformation to where we are today with the promise of #GenAI at the Dublin Tech Summit. GenAI has the potential to help businesses large and small focus move away from the drudgery of routine tasks to focus on core business objectives. Many thanks to my co-panellists Peri Kadaster from Nearform, Ross Sleight from CI&T, and Yasser Haridi from NASA - National Aeronautics and Space Administration, and of course Ciara O'Brien for an excellent job keeping us on track. #AI #DigitalTransformation #DubTechSummit #DublinTechSummit
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Enterprise AI/ML | Strategic People Leader | Advanced Manufacturing | Systems Engineering | Business Development | Predictive Analytics
#SXSW day 3: my c3PO moment. Jeffrey Cardenas from Apptronik and Shaun Azimi from NASA - National Aeronautics and Space Administration talked about humanoid robots to leverage our collective aspirations. Jeff calls this “Robots for Humans”, and I always wondered why they humanoid form was a good solution vs any number of configurations you could develop. They gave 3: 1. The existing base of innovations is built for human interactions (tools, seats etc..) 2. Humanoid form is multi-purpose. Humans are a very good general purpose pattern recognition solution. 3. Many AI advancements are due to reinforcement learning with humans in the loop. Humanoids have much “ground truth” data from humans (hands, movements etc..) to draw from, train and improve. To me #3 is compelling. Availability of good data for rapid training is one of the biggest accelerators to autonomy.
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