A scalable deep learning architecture that relies on a combination of unsupervised learning and Bayesian inference.
Developing a neocortical theory for biological and machine intelligence.
The BioRC Project at the University of Southern California, led by Prof. Alica Parker, researchs the fundamental National Academy of Engineering's Grand Challenge, Reverse Engineering the Brain. The questionsif, when and how an artificial brain could be constructed are being raised, and research into the fundamental challenges involved in whole brain emulation is continuing. These challenges include
emulating the complexity of the individual neuronal computations,
constructing systems on the scale of the human brain with billions of neurons and trillions of synapses,
connecting the neurons for effective and efficient communication, and
implementing plasticity, the ability of the brain to change and grow as learning occurs.
An ancillary challenge is producing a low-power design.