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An IT association based in the Ukrainian city of Chernivtsi organised the AI Hills Conference that took place there on Saturday and brought together over 200 participants interested in AI.
Since one of the invited speakers happened to be a gentleman presenting on neuromorphic chips, I decided to have a closer look at the uploaded conference pictures and video, since we’ve known for over a year that Ukraine-based Data Science UA has been playing around with Akida. And bingo - the speaker did indeed represent Data Science UA!
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According to my Google Lens translation, Ilya Babichev started out talking about the advantages and disadvantages of neuromorphic chips in general - the disadvantages being that precision-wise, they have yet to prove themselves more accurate than the “classic” (= von Neumann) architecture, that the software for NC has not yet caught up with the hardware and that well-defined performance benchmarks were still missing.
After introducing AKD1000, he listed at least three different use cases, namely drone detection (obviously a very important real life use case in 2025 Ukraine!), keyword detection and recognition of surface types, such as identifying areas of soil suitable for planting crops with the help of a quadcopter, in areas where forest fires and deforestation have resulted in land that can be repurposed for agriculture.
AI helps reforestation with quadcopters and Akida chips | Aleksandra Boguslavskaya posted on the topic | LinkedIn
Reforestation with AI🌲🤖 As environmental concerns rise, forest fires and deforestation continue to threaten our green cover. Some studies show a global rise in wildfires, with the UN Environment Programme predicting an increase of up to 14% by 2030, 30% by 2050, and 50% by the end of the...