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Beyond Computer Vision, Brains In Jars, And How They See
In a recent Imagination in Action event, I had the opportunity to explore the intersection of AI and neuroscience. As researchers delve into the mysteries of the brain, they are focusing on understanding the similarities and differences between biological brains that develop naturally and artificial ones created by scientists. The next great frontier is now emerging: a dichotomy between neural networks, which have only been around for about 10 years, and brand-new biological organoid brains developed with biological materials in a lab.
It’s understandable to feel perplexed by the uncharted territory of neurological research, even when confronted with fully developed simulations and models. The fact that scientists are growing brain matter in petri dishes is an astounding phenomenon that naturally leads our instinctive desire to connect vision to intelligence – investigating the relationship between the eye and the brain.
In the realm of AI research, people have been inspired by the rudimentary visual capabilities of a roundworm called C elegans. This has led to breakthroughs in both AI and medical research.
However, it’s essential to dissect what we’re dealing with here. The production of biological brain-esque organoids involves using stem cells and something known as “Matrigel,” which originated from decades-long analysis of tumor material in lab mice.
It was a recent tech talk that piqued my interest in this area. Kushagra Tiwary, who presented his findings, discussed exploring different kinds of evolution, including the prospect of what if visual goals were entirely different or lenses didn’t evolve. He suggested that asking these questions can help us investigate why we have our current vision and visual intelligence today.
The real takeaway from the event is that there are now complex models available – fully digital neural nets and proto-brains growing in a petri dish. This confluence of information processing, AI, and neuroscience research holds immense potential for further advancements in this field.
Furthermore, it has been predicted by scientists that we’ll be able to harvest memories from a dead human brain by 2125. The explanation lies in the process of decomposition making the task arduous, incomplete mapping of the human brain, and the information being stored in intricate frameworks.
Source: www.forbes.com
