#opticalneuralnetworks — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #opticalneuralnetworks, aggregated by home.social.
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#OpticalNeuralNetworks do not have hardware off-the-shelf yet, but it is promising: https://spectrum.ieee.org/optical-neural-network
#ai #neuralnetworks #machinelearningIt’s limited in terms of operations, but the Taichi chip can achieve multiply-accumulate operations with 1,000 times less energy.
They reached 13.96 million parameters, and the device is probably much larger than a GPU.
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#OpticalNeuralNetworks do not have hardware off-the-shelf yet, but it is promising: https://spectrum.ieee.org/optical-neural-network
#ai #neuralnetworks #machinelearningIt’s limited in terms of operations, but the Taichi chip can achieve multiply-accumulate operations with 1,000 times less energy.
They reached 13.96 million parameters, and the device is probably much larger than a GPU.
-
#OpticalNeuralNetworks do not have hardware off-the-shelf yet, but it is promising: https://spectrum.ieee.org/optical-neural-network
#ai #neuralnetworks #machinelearningIt’s limited in terms of operations, but the Taichi chip can achieve multiply-accumulate operations with 1,000 times less energy.
They reached 13.96 million parameters, and the device is probably much larger than a GPU.
-
#OpticalNeuralNetworks do not have hardware off-the-shelf yet, but it is promising: https://spectrum.ieee.org/optical-neural-network
#ai #neuralnetworks #machinelearningIt’s limited in terms of operations, but the Taichi chip can achieve multiply-accumulate operations with 1,000 times less energy.
They reached 13.96 million parameters, and the device is probably much larger than a GPU.
-
#OpticalNeuralNetworks do not have hardware off-the-shelf yet, but it is promising: https://spectrum.ieee.org/optical-neural-network
#ai #neuralnetworks #machinelearningIt’s limited in terms of operations, but the Taichi chip can achieve multiply-accumulate operations with 1,000 times less energy.
They reached 13.96 million parameters, and the device is probably much larger than a GPU.
-
⚡AI Needs Enormous Computing Power. Could Light-Based Chips Help? | Quanta Magazine
｢ Optical computers could, in theory, run with more operations taking place simultaneously, churning through more data while using less energy. “If we could harness” these advantages, said Gordon Wetzstein, an electrical engineer at Stanford University, “this would open a lot of new possibilities.” ｣
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⚡AI Needs Enormous Computing Power. Could Light-Based Chips Help? | Quanta Magazine
｢ Optical computers could, in theory, run with more operations taking place simultaneously, churning through more data while using less energy. “If we could harness” these advantages, said Gordon Wetzstein, an electrical engineer at Stanford University, “this would open a lot of new possibilities.” ｣
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⚡AI Needs Enormous Computing Power. Could Light-Based Chips Help? | Quanta Magazine
｢ Optical computers could, in theory, run with more operations taking place simultaneously, churning through more data while using less energy. “If we could harness” these advantages, said Gordon Wetzstein, an electrical engineer at Stanford University, “this would open a lot of new possibilities.” ｣
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⚡AI Needs Enormous Computing Power. Could Light-Based Chips Help? | Quanta Magazine
｢ Optical computers could, in theory, run with more operations taking place simultaneously, churning through more data while using less energy. “If we could harness” these advantages, said Gordon Wetzstein, an electrical engineer at Stanford University, “this would open a lot of new possibilities.” ｣
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⚡AI Needs Enormous Computing Power. Could Light-Based Chips Help? | Quanta Magazine
｢ Optical computers could, in theory, run with more operations taking place simultaneously, churning through more data while using less energy. “If we could harness” these advantages, said Gordon Wetzstein, an electrical engineer at Stanford University, “this would open a lot of new possibilities.” ｣
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Your future neural network: A big black box full of light and mirrors - Enlarge (credit: BeeBright/Getty Images)
Artificial intelligence (AI) has experienced a revival o... more: https://arstechnica.com/?p=1507439 #opticalneuralnetworks #opticalcomputing #neuralnetworks #science