Abstract: Computing in-memory (CIM) is a promising new computing method to solve problems caused by von Neumann bottlenecks. It mitigates the need for transmitting large amounts of data between the ...
In order to respond to one of the main challenges of Artificial Intelligence (AI), that is, the effective integration of learning and reasoning, both symbolic inference and statistical learning need ...