Circa 2016
Taking vertical urban indoor farming efficiency to the next level, a new automated plant coming to Japan will be staffed entirely by robots and produce 30,000 heads of lettuce daily.
Continue reading “Veggie Factory: World’s First Vertical Farm Run Entirely By Robots” »
The hype about artificial intelligence is unavoidable. From Beijing to Seattle, companies are investing vast sums into these data-hungry systems in the belief that they will profoundly transform the business landscape. The stories in this special report will deepen your understanding of a technology that may reshape our world.
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Bringing together artificial intelligence and neuroscience promises to yield benefits for both fields.
Retinal scanning could be a huge leap forward. Even in rich countries, 50% to 80% of Alzheimer’s cases go undiagnosed.
And, after that, of stroke susceptibility and heart disease.
Sundar Pichai, CEO of Google, calls for sensible regulation of AI. I agree. “Companies such as ours cannot just build promising new technology and let market forces decide how it will be used. It is equally incumbent on us to make sure that technology is harnessed for good and available to everyone.”
Companies cannot just build new technology and let market forces decide how it will be used.
Computers can beat humans at sophisticated tasks like the game Go, but can they also drive a car, … [+] speak languages, play soccer, and perform a myriad of other tasks like humans? Here’s what AI can learn from biology.
A few years back, DeepMind’s Demis Hassabis famously prophesized that AI and neuroscience will positively feed into each other in a “virtuous circle.” If realized, this would fundamentally expand our insight into intelligence, both machine and human.
We’ve already seen some proofs of concept, at least in the brain-to-AI direction. For example, memory replay, a biological mechanism that fortifies our memories during sleep, also boosted AI learning when abstractly appropriated into deep learning models. Reinforcement learning, loosely based on our motivation circuits, is now behind some of AI’s most powerful tools.
Continue reading “How Researchers Used AI to Better Understand Biological Vision” »
Xenobots have been called the world’s first “living robots”. They are made entirely of living tissue, and can be programmed to move towards a certain object.
We all subconsciously learn complex behaviors in response to positive and negative feedback, but how that works in the brain remains a century-long mystery. By examining a powerful variant of reinforcement learning, dubbed distributional reinforcement learning, that outperforms original methods, the team suggests that the brain may simultaneously represent multiple predicted futures in parallel. Each future is assigned a different probability, or chance of actually occurring, based on reward.
Here’s the kicker: the team didn’t leave it as an AI-inspired hypothesis. In a collaboration with a lab at Harvard University, they recording straight from a mouse’s brain, and found signs of their idea encoded in its reward-processing neurons.
Scientists in Shenzhen are developing a machine that sounds like a form of ancient black magic because it could enter the brain and send signals to the neurons.
