Artificial Intelligence

1802 Submissions

[3] viXra:1802.0087 [pdf] submitted on 2018-02-08 09:33:09

A Forecasting Scheme

Authors: Ramesh Chandra Bagadi
Comments: 1 Page.

In this research investigation, the author has detailed a novel method of finding the next term of a given Sequence.
Category: Artificial Intelligence

[2] viXra:1802.0038 [pdf] submitted on 2018-02-05 05:01:24

Quantum Algorithm Help AI

Authors: George Rajna
Comments: 55 Pages.

An international team has shown that quantum computers can do one such analysis faster than classical computers for a wider array of data types than was previously expected. [35] A team of researchers at Oak Ridge National Laboratory has demonstrated that it is possible to use cloud-based quantum computers to conduct quantum simulations and calculations. [34] Physicists have designed a new method for transmitting big quantum data across long distances that requires far fewer resources than previous methods, bringing the implementation of long-distance big quantum data transmission closer to reality. [33] A joint China-Austria team has performed quantum key distribution between the quantum-science satellite Micius and multiple ground stations located in Xinglong (near Beijing), Nanshan (near Urumqi), and Graz (near Vienna). [32] In the race to build a computer that mimics the massive computational power of the human brain, researchers are increasingly turning to memristors, which can vary their electrical resistance based on the memory of past activity. [31] Engineers worldwide have been developing alternative ways to provide greater memory storage capacity on even smaller computer chips. Previous research into two-dimensional atomic sheets for memory storage has failed to uncover their potential—until now. [30]
Category: Artificial Intelligence

[1] viXra:1802.0031 [pdf] submitted on 2018-02-03 05:25:39

A Feasible Path to a Machine that Can Pass the Turing Test.

Authors: Tofara Moyo
Comments: 5 Pages.

In this paper we will outline a NLP system that is based largely in graph theory, and together with techniques found in linear algebra we will be able to model the rules of logic. Inference from given data in natural language format will then be done by creating a mapping between the premises and the conclusion. During training the vector that is responsible for taking us from the space that the premise occupies to the space that the conclusion occupies will represent the particular logical rule used.Also training involves determining a particular vector for the job.
Category: Artificial Intelligence