For many reasons, computing of the future, be it on GPUs or on a neural chip, will likely look more like Google's TensorFlow than FORTRAN.
Already, the first large-scale neural chips, such as IBM TrueNorth, are being produced with commercial intent, and early indications are that the technology can be entirely compatible with modern fabrication capabilities.
Neural chips focused on low power exist now, and computer scientists are forging ahead developing algorithms without regard to who wins these debates.
For example, Qualcomm Inc., of San Diego, California, USA, recently demonstrated a neural chip
on a four-wheeled robot that learned to navigate with interactive commands of "good robot" or "bad robot."
A set of experiments with the developed neural chip
shows the decrease of the maximum operating frequency allowed in function of the quantity of neurons.
These Syndicates have developed digital technology that can access everything in their lives through the blink of an eye thanks to neural chip
implants, which also grant the Syndicates all the information they could ever want on the population.
A similar PC-based system from HNC has been applied by food processors to inspect apples and grapefruit (for gross color and surface defects) at 6 per second and dried dates (for gross color and surface texture) at approximately 40-70 per second using a proprietary neural chip
. Cookies have also been successfully inspected for size and visual defects.
The US military has funded a project that aims to boost human memory by implanting neural chips
The world is controlled by syndicates who manage the lives of people via neural chips
that offer them everything they need for happiness.
and others are working on neural chips
. In the UK University College London is working on neural network chip design procedures and hopes to produce a compiler which will be able to generate neural chips
for any given architecture.