DeepMind, the AI research firm that is owned by Google’s parent company Alphabet , has created a computer that can learn and accomplish tasks from its own memory. The computer uses a neural network that can store and recall facts. This allows it to, for example, find the best route from one point to another on London’s famed Underground subway without any prior programming.
Previously: Go champion of the world wants a piece of Google’s DeepMind AI 3 DeepMind calls its newest project the differentiable neural computer. Here’s a very quick description of how it works:
When we designed DNCs, we wanted machines that could learn to form and navigate complex data structures on their own. At the heart of a DNC is a neural network called a controller, which is analogous to the processor in a computer. A controller is responsible for taking input in, reading from and writing to memory, and producing output that can be interpreted as an answer. The memory is a set of locations that can each store a vector of information.