Xdream neural network
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Why Vision?ĪNNs and biological vision have quite the history. It’s a “great example of leveraging artificial intelligence to study organic intelligence,” commented Dr. And the more we understand about natural brains, the better we can engineer artificial ones. Vision is only the beginning-the tools can potentially be expanded into other sensory domains. Rather, they illustrate how scientists are now striving to complete the virtuous circle: tapping AI to probe natural intelligence. The individual results, though fascinating, aren’t necessarily the point. Future improved ANN models could allow even better control, giving neuroscientists a powerful noninvasive tool to study the brain. When directly shown to monkeys, the team found that the machine-generated artworks could reliably activate predicted populations of neurons. In the second study, a team used a deep ANN model-one thought to mimic biological vision-to synthesize new patterns tailored to control certain networks of visual neurons in the monkey brain. These machine artworks are pure nightmare fuel to the human eye but together, they revealed a fundamental “visual hieroglyph” that may form a basic rule for how we piece together visual stimuli to process sight into perception. The first, published in Cell, used generative networks to evolve DeepDream-like images that hyper-activate complex visual neurons in monkeys. Last week, two studies independently tapped into the power of ANNs to solve a 70-year-old neuroscience mystery: how does our visual system perceive reality? Hassabis is about to be proven right again. Reinforcement learning, loosely based on our motivation circuits, is now behind some of AI’s most powerful tools. For example, memory replay, a biological mechanism that fortifies our memories during sleep, also boosted AI learning when abstractly appropriated into deep learning models.
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We’ve already seen some proofs of concept, at least in the brain-to-AI direction. 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.