A software company called Opteran is taking a unique approach to artificial intelligence (AI) by developing a model based on the neural networks of insects. While traditional AI models seek to mimic human intelligence, Opteran is seeking to introduce “natural intelligence” to the world of AI.
The AI market has experienced rapid growth and investment, with predictions that it will be worth $383.3 billion by 2030. However, there are limitations to traditional AI models, particularly in terms of the amount of data and computing power required for significant improvements in performance.
Opteran’s co-founder and chief science officer, James Marshall, explains that traditional AI algorithms, known as deep nets, are like a “big soup” inspired by a small part of the human brain. In contrast, natural intelligence aims to create a more structured and efficient model by capturing the variety seen in real brains.
By studying the minds of insects, including honeybees, Opteran hopes to harness the power of natural intelligence and apply it to AI. Insects possess complex neural networks that allow them to process information and make decisions in a resource-efficient manner.
Opteran’s approach diverges significantly from traditional AI models, which rely on vast amounts of data and computing power. Instead, they are focusing on creating a more holistic and efficient model inspired by the intricate neural networks of insects.
Marshall highlights that the variety observed in real brains must be present for a reason, suggesting that a more diverse and structured model could lead to significant advancements in AI.
By exploring the natural intelligence found in insect minds, Opteran aims to unlock new possibilities and overcome the limitations faced by traditional AI models. Their unique approach opens up avenues for more efficient and resource-friendly AI models that can process information and make decisions more effectively.
The source of the article is from the blog dk1250.com