Incoming NASA SBIR proposal awards, page-511

Glen Research Centre

This is where Tensor is at

https://www1.grc.nasa.gov/space/scan/acs/cognitive-communications/

Cognitive communications research aims to mitigate the increasing communication complexity for mission users by increasing the autonomy of links, networks, and service scheduling.
NASA has traditionally launched single spacecraft missions, typically scheduled weeks in advance, with each asset serving a single user spacecraft at a time.
Recently, NASA science missions have found benefit in an alternate approach, launching swarms of spacecraft allowing coordinated simultaneous observations from different perspectives.
As more complex swarm missions launch, a challenge will be coordinating communications within the swarm. The Cognitive Communications project at NASA Glenn Research Center (GRC) aims to develop decentralized space networks with artificial intelligence (AI) agents optimizing communication link throughput, data routing, and system-wide asset management as a way to mitigate this challenge

What is Cognitive Communication?

NASA’s Cognitive Communications project defines “cognitive” as any system, or part of a system, that is able to overcome obstacles, respond to and learn from its environment, and achieve beneficial goals to the completion of its primary mission with minimal to no human interaction.
Effectively, the cognitive system must have the ability to adapt to changing conditions by producing reasonable outcomes in scenarios that extend beyond the pre-programmed knowledge of its original inception.
These systems utilize cognitive engines (CE), or decision-making algorithms that enable part of a cognitive system. A cognitive engine learns from past allocations to improve mission communications performance over time.
The growing complexity of NASA’s spacecraft constellations, communication relay offerings, and mission architectures, drive the need for the development of autonomous communication systems.

	Column 1	Column 2
0	Scalable Neural Net and Neuromorphic Module for In-Space Autonomous Orientation and Maneuvering	Tensor Innovation Partners, LLC