Nature Biotechnology - Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene ...

The weights in any ANN are always just real numbers and the learning problem boils down to choosing the best value for each weight in the network. This means there are two important decisions to make ...

Artificial Neural Networks (ANNs) are commonly used for machine ... Defined as the uncentered covariance matrix of the ANN’s input-output gradients averaged over the training dataset, this ...

Delve into AI-generated antibiotics in this article .

Understanding how the brain and the neural network works plays a pivotal role in the implementation of neuroscience in Artificial Intelligence (AI). Brain neurons and AI models are both involved ...

The neural network could identify letters and numbers from their shapes. The research, conducted by Vicarious - a Californian artificial intelligence firm funded by Amazon founder Jeff Bezos and ...