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In this week's edition of Perceptron, TechCrunch's semiregular AI research roundup, we highlight an 'earable' that uses sonar to record facial expressions and a superfast processor for AI training.
While we're not yet close to replicating the complexity and the intricacy of the human brain with anything artificial, scientists are making progress with certain dedicated devices – like a newly developed programmable resistor.
By building chips whose components act more like natural neurons and synapses, we might be able to approach the efficiency of the human brain.
The research promises faster, more energy efficient deep learning devices produced at lower cost.
Get latest articles and stories on Science at LatestLY. The amount of time, effort, and money needed to train ever-more-complex neural network models are soaring as researchers push the limits of machine learning. Analogue deep learning, a new branch of artificial intelligence, promises faster computation with less energy consumption. Science News | Study Finds New Hardware Offers Faster Computation for Artificial Intelligence with Much Less Energy.