The next generation will be rolling their proverbial eyes at our current infatuation with AI.
Some extracts from professor Cory Miller (UCSD-psychology)
He states that the 2013 bipartisan --Brain Research through Advancing Innovative Neurotechnologies (BRAIN)--initiative to map and understand the brain's 'neural circuits' is the most significant and successful scientific endeavor of recent history. He believes that research and understanding of human neural-networks, which drive biological-cognition, human thought, emotion and behavior are the true transformative tools of the future.
He assumes that to approximate true human 'neural networks' won't be answered by stacking more GPUs in 3D... especially since "The human brain remains the most powerful, adaptable, and efficient computing system on the planet."
"The country that unlocks the principles of biological-intelligence [cognition?] will shape the next-century of technology."
imo: AI is just doing stop-gap, hard-wired, tubed Class-A circuits, while we are in need of some efficient Class-D neural networks.
Some extracts from professor Cory Miller (UCSD-psychology)
Professor Miller contends that "The first AI models were inspired by research on the visual system of monkeys, but this approach was abandoned in favor of the simpler models at the heart of today's AI."The human brain runs on about 20Watts of power...
*Re: +10dB from your phone.
Thus far, the numbers show that it outperforms AI, in the types of intelligence we -humans- seek...
*Sentience, abstract reasoning, moral, ethical, intuition, sagacity, creativity, empathy, imagination, compassion...
To match the computational power of a single human brain, the leading AI system would require near the amount of power needed for the whole City of Dallas...
*...in the spring.
He states that the 2013 bipartisan --Brain Research through Advancing Innovative Neurotechnologies (BRAIN)--initiative to map and understand the brain's 'neural circuits' is the most significant and successful scientific endeavor of recent history. He believes that research and understanding of human neural-networks, which drive biological-cognition, human thought, emotion and behavior are the true transformative tools of the future.
He assumes that to approximate true human 'neural networks' won't be answered by stacking more GPUs in 3D... especially since "The human brain remains the most powerful, adaptable, and efficient computing system on the planet."
"The country that unlocks the principles of biological-intelligence [cognition?] will shape the next-century of technology."
imo: AI is just doing stop-gap, hard-wired, tubed Class-A circuits, while we are in need of some efficient Class-D neural networks.