A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

Traditional processors can struggle with these requirements, leading to high energy consumption, increased latency, and throughput bottlenecks. A cornerstone of neural network computation is the ...

Abstract: This paper discusses finite-time synchronization of complex-valued neural networks (CVNNs) with infinite delays ... Finally, to confirm the effectiveness of the theoretical outcomes, two ...

Learn More A new neural-network architecture developed by researchers ... attention and memory modules to complement each other. For example, the attention layers can use the historical and ...

It’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

A notable example of this type is the Self-Organizing Map (SOM ... In this study, we utilize the default initial values provided by the SOM neural network library functions in MATLAB 2016a for our ...

In a dark coincidence, the researchers point to California's current catastrophe as a timely example of their recently published findings. "In that publication, fairly incredibly, we use the example ...