The development of neural networks to create artificial intelligence in computers was originally inspired by how biological systems work. These "neuromorphic" networks, however, run on hardware that looks nothing like a biological brain, which limits performance.
Now, researchers from Osaka University and Hokkaido University plan to change this by creating neuromorphic "wetware." The work is published in the journal Advanced Functional Materials.
While neural-network models have achieved remarkable success in applications such as image generation and cancer diagnosis, they still lag far behind the general processing abilities of the human brain. In part, this is because they are implemented in software using traditional computer hardware that is not optimized for the millions of parameters and connections that these models typically require.
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this post was submitted on 06 Jul 2023
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Singularity | Artificial Intelligence (ai), Technology & Futurology
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If you consider that in the last 120 or so years we went from the first flight to landing on the moon in 60 some odd years, computers that take up an entire building to everyone having a powerful computer in their pocket, and discovering the first antibiotic to having gene-specific medicine and 3d-printed organs. It's really nuts. Can't wait to see what else is in store for the future and hope we can keep greedy fucks from ruining everything for us (more than it already is).
Yeah, its mind boggling how quickly technology is progressing, to think we lived for hundreds of thousands of years as hunter-gatherer cavemen and then ~ten thousand as early civilizations to the absolutely insane pace technology has progressed in the last 100~200 years is just crazy to think about.
We went from no electricity, medicine, engines, etc. to nuclear power plants, gene editing & vaccines, jet engine vehicles capable of breaking the sound barrier, and computers that are getting scarily close to replicating human behavior in just 1/100000th the time we spent running around the planet hunting animals in tribes...
It's quite incredible when you think about it.