DARPA Hive processor could boost computing efficiency by 1000 times
..."The graph analytics processor is needed, according to DARPA, for Big Data problems, which typically involve many-to-many rather than many-to-one or one-to-one relationships for which today’s processors are optimized. A military example, according to DARPA, might be the the first digital missives of a cyberattack. A civilian example, according to Intel, might be all the people buying from Amazon mapped to all the items each of them bought (clearly delineating the many-to-many relationships as people-to-products).
The Hierarchical Identify Verify Exploit (HIVE) program has signed on five performers to carry out HIVE’s mandate: to develop a powerful new data-handling and computing platform specialized for analyzing and interpreting huge amounts of data with unprecedented deftness. “"...
..."Central to HIVE is the creation of a “graph analytics processor,” which incorporates the power of graphical representations of relationships in a network more efficiently than traditional data formats and processing techniques. Examples of these relationships among data elements and categories include person-to-person interactions as well as seemingly disparate links between, say, geography and changes in doctor visit trends or social media and regional strife. In combination with emerging machine learning and other artificial intelligence techniques that can categorize raw data elements, and by updating the elements in the graph as new data becomes available, a powerful graph analytics processor could discern otherwise hidden causal relationships and stories among the data elements in the graph representations."...
Picture this for raw data mining of relationships of disparate data points, this could be huge...
https://www.nextbigfuture.com/2017/06/darpa-hive-processor-could-boost-computing-efficiency-by-1000-times.html