Every individual enters life prepared for action, and a lot of animals exhibit remarkable abilities shortly after their birth. For example, spiders create intricate webs and whales navigate through water, this raises the question of the source of these inherent skills.
It is quite evident that the brain is vital and it houses trillions of neural connections required for managing complex behaviours. Nonetheless, the genome can only adjust a limited portion of this information.
The conundrum has baffled researchers for a lot of years but recently, professors from Cold Spring Harbor Laboratory (CSHL), Anthony Zador and Alexei Koulakov have proposed that there could be a possible resolution using artificial intelligence.
Zador when first came across this issue, offered a fresh perspective and posed the question, “Could the genome’s restricted capacity actually be the reason for our intelligence?”, he also suggests that maybe this limitation is not a flaw but instead is a feature.
In essence, the ability of humans to think critically and learn rapidly may be a result of the constraints of the genome compelling them to adapt. This is a major and ambitious hypothesis challenging to validate, as conducting laboratory experiments over billions of years of evolution is now workable. This is where the concept of the ergonomic bottleneck algorithm comes into the scene.
Generations in the realm of AI are created in an instant, Zador, Koulakov and CSHL postdoctoral researchers Sergey Shuvaev and Divyansha Lachi have embarked on the development of a computer algorithm that have the ability to organize large amounts of data crisply.
Remarkably, they discovered that the newly developed untrained algorithm performs tasks such as image recognition as excellently as leading AI systems. Moreover, it also demonstrates competence in video games such as Space Invaders as if it has the inherent understanding of the gameplay already.
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