Mark G. Megerian

TL;DR: A multi-petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, allows for a maximum packaging density of processing nodes from an interconnect point of view.

TL;DR: In this article, a self-describing file object is created in each of the multiple computer systems and the file objects include the hash algorithm, the partition distribution map, and the remote system information.

TL;DR: In this paper, a set of answer categories for a question-answering environment can be sorted based on the subject matter of the question and the answer categories, such that a first set of answers into a first answer category and a second set of responses into a second answer category.

TL;DR: In this paper, the authors proposed a method to reduce the amount of processing required to generate a response to a first case by a deep question answering system by determining that a similarity score, of the first case relative to a second case, exceeds a similarity threshold.

TL;DR: In this paper, the authors identify changes in evidence used to answer questions by a deep question answering system, by identifying a first evidence related to a feature, the DQA system having identified the feature as being relevant to answering a first type of question of a plurality of types of questions, and responsive to detecting a change in the first evidence, and determining that a confidence score of a first response generated for a first question, of the first type, exceeds a confidence threshold, generating an updated response for the first question based on the changed first evidence.