Model making. To develop their model, the researchers used a machine learning algorithm called an autoencoder, which automatically integrates gigantic swaths of data into a concise representation ...

LAGUNA HILLS, Calif., September 18, 2024--BrainChip Introduces aTENNuate in New Technical Paper ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

Normalizing and Encoding Source Data for an Autoencoder In practice, preparing the source data for an autoencoder is the most time-consuming part of the dimensionality reduction process. To normalize ...

The autoencoder is trained using these statements: int maxEpochs = 1000; double lrnRate = 0.01; int batSize = 10; Console.WriteLine("Starting training "); nn.Train(dataX, dataX, lrnRate, batSize, ...

These altered inputs create a security risk in applications with real-world consequences, such as self-driving cars, robotics and financial services. We propose an unsupervised method for detecting ...

BrainChip Introduces aTENNuate in New Technical Paper. LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer ...