SEFUW: SpacE FPGA Users Workshop, 5th Edition

Session

Artificial Intelligence/Machine Learning

19 Mar 2020, 11:20

Newton 1 and 2 (European Space Research and Technology Centre (ESTEC))

41. Xilinx Machine Learning Solutions and Design Considerations for Space Applications

Mr Jason Vidmar (Xilinx Corp)

19/03/2020, 11:20

Artificial Intelligence/Machine Learning

In the past decade, the field of Machine Learning has witnessed dramatic breakthroughs in the state of the art for tasks such as image classification and object detection, aided by advancements in algorithms, training data and computing architectures. To date, most results have been demonstrated for terrestrial applications, but there is significant demand for solutions that can scale these...

2. Image Recognition for Space Applications using Deep Learning on FPGAs & SoCs

Stephan van Beek (MathWorks)

19/03/2020, 11:45

Artificial Intelligence/Machine Learning

Artificial intelligence (Deep Learning) is everywhere. Home appliances, automotive, entertainment systems, you name it, they are all packing AI capabilities. The space industry is no exception. Automated recognition of spacecraft and space junk using imaging plays an important role in securing space safety and space exploration. Although Deep Learning is the most successful solution for...

29. FPGA implementation of Cloud Detection algorithm based on Convolutional Neural Network for Earth Observation applications On board

Mr Giamarco Dinelli (University Of Pisa), Mr Gionata Benelli (IngeniArs)

19/03/2020, 12:10

Artificial Intelligence/Machine Learning

In the last years, Machine Learning has rose in popularity, and also the space community has started to consider AI-based algorithms as a promising solution for tasks such as spacecraft navigation and on-board image elaboration. ESA project CloudScout, flying on mission PhiSat-1/FSSCAT on-board a 6U CubeSat, has the aim to show the feasibility of AI-based algorithms in orbit to perform...

24. Intel’s Solution for Fast and Efficient Inference

Ms Ruth Abra (Intel)

19/03/2020, 12:35

Artificial Intelligence/Machine Learning

The understanding of the power of AI is increasing with its usage and ongoing research. Convolutional Neural Networks excel at object recognition, object detection and image segmentation; LSTMs and transformers lead the way in sequence analysis, including translation and search engine tasks. Loosely based on the micro-level architecture of the brain, these networks can – like the brain – be...