A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.
Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...
(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...
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Artificial sensory neuron enables high-precision, multi-color, near-infrared object recognition
Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.
In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...
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A unified model of memory and perception: How Hebbian learning explains our recall of past events
A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are ...
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