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Robotic AI using Neural Nets

Artificial Development To Build Biggest Spiking Neural Network

From the article:

Artificial Development, Inc. today announced that it has completed assembly of the first functional portion of a prototype of Ccortex, a 20-billion neuron emulation of the human cortex, which it will use to build a next-generation artificial intelligence system. Artificial Development will initiate testing of Ccortex in October. The cluster being assembled at AD.com Data Center is a high-performance, parallel supercomputer, composed of 500 nodes and one thousand processors, 1.5 terabytes of RAM, and 80 terabytes of storage.

The low-cost software/hardware system runs on Linux, Intel and AMD processors. When all sections are assembled, Ccortex is expected to reach a theoretical peak performance of 4,800 Gflops, making it one of the top 20 fastest computers in the world. The cluster will be used as a test bed for beta versions of Ccortex.

Ccortex is a massive spiking neuron network emulation and will mimic the human cortex, the outer layer of gray matter at the cerebral hemispheres, largely responsible for higher brain functions. The emulation covers up to 20 billion layered neurons and 2 trillion 8-bit connections.

So, in 2003, we have supercomputers running at 5 teraflops. Applying Moore's Law, we would expect to see machines that are 1,000 times bigger than that in 2023. That means a machine with 5 petaflops, 1.5 petabytes of RAM and 80 petabytes of disc space.

In other words, in 2023 we will have inexpensive supercomputers with the power of the human brain.

By 2043, supercomputers will have the power of 1,000 human brains. Inexpensive desktop machines will be running at 5 petaflops, and we will have inexpensive autonomous humanoid robots with the equivalent brain power of a human being. See Robotic Nation and Manna for details.