The Power of Hyperdimensional Computing

Hypervectors can be examined for similarities and differences using the fundamental Hyperdimensional Computing operations

Ultimately, a class hypervector that represents every class element is created by bundling the hypervectors within each class

After training creates class hypervectors from input feature vectors, each new feature vector is turned to one

Hyperdimensional Computing can be implemented in hardware with minimal power consumption because of its simplicity and the binary nature of its operations

Hyperdimensional Computing's distributed architecture allows parallel processing like the brain

Due to its great dimensionality, Hyperdimensional Computing is intrinsically resistant to mistakes and noise

With Intel oneAPI Base Toolkit, Altera FPGAs may immediately implement SYCL/C++ Hyperdimensional Computing applications

Hyperdimensional Computing Picture Categorization using Altera FPGAs