Speakers:

• Valerie Fox - Caltech
  Big Planets, Big Questions, Big Data: Planetary Remote Sensing Data Challenges
  
  Goal: Provide an overview of planetary remote sensing and exploration, and the types of questions that need a paradigm change in exploration models to answer
  • Introduction to remote sensing - how we use the electromagnetic spectrum to explore the solar system
  • Scale and scope of extant data sets for the terrestrial planets
  • Outstanding decadal scale questions in space science
  • Current exploration models (i.e. how an orbiter collects data or how a rover collects data, and identify growth points and constraints)


• Rich Doyle - JPL
  Reinventing the Role of Computing in Space
  
  Goal: Describe future space mission needs for flight computing, current investments by NASA and the USAF, and relate to cloud computing across the solar system
  • Future space mission needs for more capable flight computing with strategic possibilities, for both science and human spaceflight
  • High Performance Spaceflight Computing (HPSC) – a joint investment by NASA and the USAF
  • Technical and architectural advantages of HPSC, with use cases
  • Status of HPSC development
  • How HPSC supports the Nebulae vision


• Les Deutsch - JPL
  Today’s Deep Space Communications System: The Earth-Based Elements
  
  Goal: Provide a common understanding of the current system, providing a baseline from which we can start
  • Today’s deep space communications Earth terminals - including the Deep Space Network (DSN)
  • How do we move data between deep space to scientists
  • The NASA Planetary Data System (PDS)
  • Scheduling every bit
  • Scalability (or lack thereof)


• Jason Tichy - NVIDIA
  Lukas Mandrake - JPL
  Future Computing Architectures for Signal Processing, AI, and Autonomy for Space Vehicles
  
  Goal: Introduction to how sensor data is being processed today and how it is informing architectures in the future
  • The need for compute is exploding, on the ground and in the sky
  • Limitations of the current space architecture
  • What needs to improve in order to make next generation advancements in space
  • Autonomy drivers (data prioritization, agile reaction, experimental design, anomaly detection, change detection)