Output layer has 1 node. self.second_hidden_layer_and_output_layer_weights = rng.random((3, 1)) # Real output values provided. self.output_array = output_array # Predicted output values by the neural ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

A new editorial was published in Oncotarget, Volume 16, on April 4, 2025, titled “Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques.” ...

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ratio to a safer 4/9 distribution through the timely release of backup ...

X-PHY Inc, a leading innovator in embedded cybersecurity technology, has announced the launch of its latest solution ahead of RSA Conference (RSAC) 2025 - Deepfake Detector - a real-time deepfake ...

Cryptocurrency enthusiasts know that staying on top of the latest trends and developments can be the difference between ...

Data sharing becomes more challenging when AI and multi-die assemblies are involved.

This letter presents a detailed analysis of SCWT variations caused by inevitable process-induced deviations and introduces a new screening approach based on artificial neural network (ANN) technology.

Forget one-click creativity. These artists and musicians are finding new ways to make art using AI, by injecting friction, ...