FIRST OF ITS KIND, BRAIN-INSPIRED DEVICE LOOKS TOWARD HIGHLY
EFFICIENT AND FAST PARALLEL COMPUTING NETWORKS
It doesn't take a Watson to realize that even the world's
best supercomputers are staggeringly inefficient and energy-intensive machines.
Our brains have upwards of 86 billion neurons, connected by
synapses that not only complete myriad logic circuits; they continuously adapt
to stimuli, strengthening some connections while weakening others. We call that
process learning, and it enables the kind of rapid, highly efficient computational
processes that put Siri and Blue Gene to shame.