A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems. (Nanowerk News) A ...

(a) Conventional neuron models used in reservoir computing. Artificial neural networks (ANNs) comprise of neuron models that sum up weighted inputs, filter the value through an activation function, ...

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A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency. (Nanowerk News) A research team based at Xidian ...

A combined pipeline of advanced feature selection plus supervised/ensemble classifiers improved CKD risk prediction compared with using raw variables without tuning. Hemoglobin ranked among the most ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

GWEIKE introduces a portable laser welding machine and multifunction M-Series system to help manufacturers improve welding efficiency and flexible production. CA ...