When it comes to space exploration, data is the new rocket fuel. Artificial Intelligence is the engine. In a newly published article in SpaceNews, Tyto Athene’s Lead Data Scientist, Victoria Da Poian, and Lead Software Engineer, Eric Lyness, explore how AI and machine learning are transforming mission planning, in-orbit decision-making, and system autonomy for space operations.
This is a must-read for anyone tracking how federal missions are adapting to real-time data environments, from low-earth orbit to the tactical edge.
What You’ll Learn from the Article
- How onboard AI enables autonomous spacecraft to process data and respond in real-time
- Why mission-specific machine learning models are critical for adapting to complex and unpredictable environments
- Where the convergence of AI, data, and cybersecurity is shaping the next chapter of government-led space discovery
These insights come from Tyto’s space team members supporting NASA’s Goddard Space Flight Center. They contribute to the Planetary Environments Laboratory at GSFC and are involved in the ExoMars and Dragonfly missions.
Meet the Authors Behind the Insight
Victoria Da Poian and Eric Lyness are part of Tyto Athene’s space team, delivering cutting-edge innovation in mission enablement and applied AI for federal clients. Their work bridges the gap between research and deployment, helping agencies move from experimental models to real-world autonomous systems.
Follow them on LinkedIn to stay connected with their work:
Explore the Full Article in SpaceNews
This piece offers a forward-looking perspective on how data and AI are reshaping what’s possible in space and across all domains where autonomy, speed, and situational awareness are mission-critical.
Read the full article: SpaceNews: Data and Artificial Intelligence – The Fuel Behind Space Discovery
More about Tyto Athene:
Learn more about Tyto’s Mission Enablement capabilities and how our Space team supports data-driven autonomy for federal missions.
