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 ...

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 ...

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 ...

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