This post is related to the post about Australian bushfires. It dives deeper into the possibilities IOTA offers regarding solutions mentioned there. Over time we’ll develop this into a usecase that can explored in a hackathon. [This post only contains some basic ideas on how to use IOTA, but does not go into the details of how to build it. It would require much more research in order to...
What autonomous machines could mean for sustainable agriculture
If robots can autonomously plant, nurture, and harvest crops, agriculture can become more efficient economically and ecologically.
Availability – not ownership – for items we don’t use much
To have everything our heart desires is a primitive drive in life. But our ecological footprint is problematic as it is already. Our environment cannot sustain ever increasing consumption. And that’s with an existing inequality in material possessions in the world right now. What happens when Southeast Asia and Africa go to western levels of consumption or above? We argue that the solution...
Talking forests: inspiration for resilient machine ecosystems
Mycelium – the underground fungal network that connects trees in a forest – is nature’s own DLT . When designing machine ecosystems, mimicking the principles of these natural networks give us a good head start in creating resilient autonomous assets. We’ve looked at aspects of natural ecosystems as an inspiration before, but this time we dive deep into the inner workings of...
Reframing abundance for a sustainable economy
Abundance is one of the promises that comes with renewable energy. “If only we had enough energy, we could get anything we want.” But is that true? And can that be true for everyone in the world? Without destroying the world as we know it? This post goes deeper into psychological and philosophical side of abundance, as opposed to the technical side. Because if we frame it right...
Algorithms inspired by swarm behaviour
With autonomous machines you almost automatically touch on swarming. But what is swarming? There are two ways of looking at it: how and why. By imitating the how, we might get some nice optimizations, but the why is where the real benefits are. Locust preventing collisions Locust filter out excess stimuli to have enough brain capacity to react to relevant signals. It only recognizes movements...
Biomimicry: information and the Machine Economy
The Machine Economy track on the world’s largest blockchain Hackathon challenges you to go way beyond the current paradigm. But how do you rethink a future ecosystem? Nature could be inspiration. It’s been scrumming and iterating its ecosystems for 3.8 billion years. There’s some interesting concepts to be learned from it, through Biomimicry. Biomimicry Biomimicry means learning...