Pardon The Disruption Episode 22: Swarm AI (Part 1) - A Lesson From Nature
When honey bees are faced with the existential decision on where to relocate their hive, that is to find the perfect environment in which their colony can survive for generations to come, how do they reach consensus? A honey bee's brain is smaller than a grain of sand and has less than a million neurons. Humans have 85 billion. However, researchers have found that honey bees pick the optimal solution over 80% of the time.
This begs the question, what is the best way to accurately predict outcomes? Does the answer lie in nature?
Ants, bees, birds, and fish all self-organize themselves without any single leader, to help make complex, sometimes life & death decisions, as a single organism rather than individuals. This is known as Hive Intelligence.
Louis Rosenberg, CEO & Founder of Unanimous AI, provided insights into how this can be used by humans in real-world applications on the TED stage (you can see his full talk here - www.youtube.com/watch?v=Eu-RyZt_Uas&t=794s).
This is not voting. Instead of having a one person, one vote system, the relevant intelligence of all individuals in the network combines to give a group intelligence or a brain of brains! How can you tap into this Swarm Intelligence from large groups to make better decisions, from customer experience to what is going to happen next with your products & services?
How would you even get a group of people or robots to co-operate together in a dynamic way which adjusted in real-time? Radhika Nagpal discusses how you can program rules to allow organisms to self-organize and react to the environment they see at TED (www.youtube.com/watch?v=LHgVR0lzFJc&t=300s).
Autonomous cars will almost certainly use this tool in the AI kit to function, that is the ability to use Swarm Intelligence to self-organize themselves based on the environment around them, as Magnus Egerstedt shows in this video (13:50, www.youtube.com/watch?v=ULKyXnQ9xWA).
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