Posts

From commercial HVAC to coordinated “swarm intelligence” Encycle is an energy-technology company with origins in Toronto, developing software that helps buildings use less energy and respond more flexibly to the power grid.

From Sheffield research to “natural intelligence” Opteran Technologies (registered in the UK as Opteran Technologies Limited) is a spin-out from University of Sheffield that formally incorporated in March 2020.

A case in point: “…decided amongst themselves when to strike.” No “agentic frameworks”… just swarms. https://slashdot.org/story/446276

Over this 7-part series, we’ve explored how natural systems — ants, bees, birds, and brains — solve problems through emergence, not instruction.

In particular areas of human endeavour, precision in language matters, such as contract law. Sometimes the language is numbers, like in accounting or science.

This is the fifth of seven articles in the series comparing Nature with AI and how they approach agents. Part four is accessed here, the full series from here.

Google DeepMind’s Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs. https://deepmind.google/discover/blog/how-ai-is-helping-advance-the-science-of-bioacoustics-to-save-endangered-species/

In previous articles we defined terms like agent and swarms, and looked at a major difference between natural and artificial adaptation, time.

“Nature does not hurry, yet everything is accomplished.” – Lao Tzu In part one and part two, we’ve explored how biological agents — ants, birds, bees — operate without central control, memory, or explicit goals.