The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

This means there are two important decisions to make before we train a artificial neural network: (i) the overall architecture of the system (how input nodes represent given examples, how many hidden ...

Often, each node in a layer is connected to every node in the subsequent layer to send information forward in the network. “When you write code to build an artificial neural network, you're basically ...

A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...

Explaining how artificially intelligent (AI) neural networks (NNs) arrive at their conclusions—especially deep neural ...

A readout layer then analyzes this representation to find patterns and connections in the data. Unlike traditional neural networks, which require extensive training across multiple network layers ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Untether AI®, a leader in energy-centric AI inference acceleration today introduced a breakthrough in AI model support and developer velocity for user ...

Binary neutron star mergers occur millions of light-years away from Earth. Interpreting the gravitational waves they produce presents a major challenge for traditional data-analysis methods. These ...