the digital mila founds the optimal debris to collect based on their position and value, amongst billions of different permutations in a fraction of a second. it is really costly to send debris removal missions into space so the ability to rapidly calculate an optimal message that make mission that reduces the amount of fuel use or the amount of time the mission will take to allow more pieces of debris to be collected was greatly improved would greatly improve the commercial viability of future missions. it commercial viability of future missions- missions. it sounds mind-boggling, - missions. it sounds mind-boggling, if. missions. it sounds i mind-boggling, if you missions. it sounds - mind-boggling, if you don t mind boggling, if you don t mind boggling, if you don t mind me saying. it is very early in the morning in the uk and there is a lot to take on board in what you have just said but it sounds like it is something that is much needed. how is a mess in space, rubbish in spac
still definitely in discussion at the moment. still definitely in discussion at the moment. and in terms of what you re at the moment. and in terms of what you re finding at the moment. and in terms of what you re finding out - at the moment. and in terms of what you re finding out through | what you re finding out through this science at fujitsu, how will that enable other companies too, as you say, see it as commercially viable to collect rubbish in space? the work that collect rubbish in space? the work that we ve collect rubbish in space? tue: work that we ve done collect rubbish in space? he work that we ve done with collect rubbish in space? tt2 work that we ve done with our consortium members, we ve proven we can find cheaper and quicker missions that are more commercially viable using our optimisation platform and this can give companies like astra scale the company the confidence to go for missions and to support the planning of their missions. mil and to support t