Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of information about smells it perceives. This could also help enhance our ...

Neural partially linear additive model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-2662-3 ...

In general, most of my colleagues and I use the term "network" or "net" to describe a neural network before it's been trained, and the term "model" to describe a neural network after it's been trained ...

They are variations of linear regression (and therefore not very powerful) and are extremely difficult to train because they require linear ... Creating and Training the Neural Network Quantile ...

Every neural-network based model has a lifespan and cannot be used indefinitely. The longevity of a model's life span depends on the market situation and on how long the market interdependencies ...

A new study finds that machine learning can help reduce textile manufacturing waste by more accurately mapping how colors ...

The great breakthrough about this model is that it makes no assumption about input data type, while, for instance, existing convolutional neural networks work for images only. Source: Perceiver ...

With these simpler models, neural responses can more easily be characterized and simulation of large networks of neurons with dendrites can be conducted," Dr Wybo explains.