Artificial Intelligence

1901 Submissions

[20] viXra:1901.0291 [pdf] submitted on 2019-01-20 10:04:18

One Step Universal Evolution Of Any Real Positive Number

Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.

In this research investigation, the author has detailed the Theory Of One Step Universal Evolution Of Any Real Positive Number.
Category: Artificial Intelligence

[19] viXra:1901.0268 [pdf] submitted on 2019-01-18 09:09:07

Refutation of the ai Experiment for a Divide the Dollar Competition

Authors: Colin James III
Comments: 1 Page. © Copyright 2019 by Colin James III All rights reserved. Respond to author by email only at: info@ersatz-systems dot com. See website ersatz-systems.com . (We warn troll Mikko at Disqus to read the article four times before hormonal typing.)

We evaluate the AI experiment for a divide the dollar competition at the June CEC2019 IEEE conference in New Zealand. The apparatus definition is not tautologous, hence refuting the experiment.
Category: Artificial Intelligence

[18] viXra:1901.0250 [pdf] submitted on 2019-01-17 09:16:32

AI Identifies Human Ancestor

Authors: George Rajna
Comments: 59 Pages.

The deep learning analysis has revealed that the extinct hominid is probably a descendant of the Neanderthal and Denisovan populations. [32] Our team at IBM Research – India collaborated with the IBM MetroPulse team to bring such first-of-a-kind, AI-driven capabilities to MetroPulse, an industry platform that brings together voluminous market, external and client datasets. [31] For people with hearing loss, it can very difficult to understand and separate voices in noisy environments. This problem may soon be history thanks to a new groundbreaking algorithm that is designed to recognise and separate voices efficiently in unknown sound environments. [30]
Category: Artificial Intelligence

[17] viXra:1901.0225 [pdf] submitted on 2019-01-15 13:52:15

A Micro-robot With Camera to Track and Follow Objects

Authors: Gokul Krishna Srinivasan
Comments: 5 Pages.

A lot of work has been done to track a moving object with the aid of a camera. This paper describes one such technique, which can constantly track and follow moving objects. Most of the work done in this paper were referred from the work done by Nazim[4].The camera is used as a feedback sensor to help the robot follow the object. The robot system is truncated into two subsystems: vision and motion. The vision system comprises of a two-motor pan-tilt camera driving mechanism with embedded potentiometer sensor, PCI image acquisition board and PWM based DC motor driver board. The motion system is made up of a two-wheel and two-castor platform driven by servomotors with amplifiers. The system tries to demonstrate the eye tracking ability of a human when a moving object is in focus. The robot used for this purpose is Alice, the most recent model that was developed in the year 2002 has been chosen.
Category: Artificial Intelligence

[16] viXra:1901.0224 [pdf] submitted on 2019-01-15 13:55:11

Implementation, Comparison and Literature Review of Spatio-Temporal and Compressed Domains Object Detection

Authors: Gokul Krishna Srinivasan
Comments: 12 Pages.

Object detection in a moving video stream is playing a prominent role in every branch of science and research[1]. Objection detection or tracking is done by two different methods, namely, spatio-temporal domain and compressed domain. This project will deal with both the domains in order to bring out the advantages and disadvantages of each and every method in terms of complexity in computations, efficiency etc. Along with that, a detailed literature survey will also be done on the same topic. Most image and video data are stored or transmitted after compression for efficiency. Processes like pattern detection and localization typically include the extra expense of decompressing the data since most image and video processing techniques require access to the original pixel values in the spatial domain. This project performs a statistical analysis of present object detection schemes in both spatio-temporal and compressed domains. The results of multiple object detection in spatio-temporal domain are compared to those of compressed domain object detection and various evaluation results are analyzed. The comparisons will be made in the context of complexity of algorithm, efficiency and application.
Category: Artificial Intelligence

[15] viXra:1901.0205 [pdf] submitted on 2019-01-15 00:38:59

AI Help Retailers Understand Consumer

Authors: George Rajna
Comments: 59 Pages.

Our team at IBM Research – India collaborated with the IBM MetroPulse team to bring such first-of-a-kind, AI-driven capabilities to MetroPulse, an industry platform that brings together voluminous market, external and client datasets. [31] For people with hearing loss, it can very difficult to understand and separate voices in noisy environments. This problem may soon be history thanks to a new groundbreaking algorithm that is designed to recognise and separate voices efficiently in unknown sound environments. [30]
Category: Artificial Intelligence

[14] viXra:1901.0173 [pdf] submitted on 2019-01-12 08:42:58

Syndromes Data Mining

Authors: George Rajna
Comments: 43 Pages.

With every news story, the concepts of data mining healthcare information move higher still up the research and policy agenda in this area. [26] The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. [25] Physicists in the US have used machine learning to determine the phase diagram of a system of 12 idealized quantum particles to a higher precision than ever before. [24] The research group took advantage of a system at SLAC's Stanford Synchrotron Radiation Lightsource (SSRL) that combines machine learning—a form of artificial intelligence where computer algorithms glean knowledge from enormous amounts of data—with experiments that quickly make and screen hundreds of sample materials at a time. [23] Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. [22]
Category: Artificial Intelligence

[13] viXra:1901.0166 [pdf] submitted on 2019-01-11 13:55:00

Automated Brain Disorders Diagnosis Through Deep Neural Networks

Authors: Gabriel A. Maggiotti
Comments: 8 Pages.

In most cases, the diagnosis of brain disorders such as epilepsy is slow and requires endless visits to doctors and EEG technicians. This project aims to automate brain disorder diagnosis by using Artificial In- telligence and deep learning. Brain could have many disorders that can be detected by reading an Electroencephalography. Using an EEG device and collecting the electrical signals directly from the brain with a non- invasive procedure gives significant information about its health. Classi- fying and detecting anomalies on these signals is what currently doctors do when reading an Electroencephalography. With the right amount of data and the use of Artificial Intelligence, it could be possible to learn and classify these signals into groups like (i.e: anxiety, epilepsy spikes, etc). Then, a trained Neural Network to interpret those signals and identify evidence of a disorder to finally automate the detection and classification of those disorders found.
Category: Artificial Intelligence

[12] viXra:1901.0138 [pdf] submitted on 2019-01-10 10:47:06

Machine Learning Anomalies

Authors: George Rajna
Comments: 43 Pages.

The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. [25] Physicists in the US have used machine learning to determine the phase diagram of a system of 12 idealized quantum particles to a higher precision than ever before. [24] The research group took advantage of a system at SLAC's Stanford Synchrotron Radiation Lightsource (SSRL) that combines machine learning—a form of artificial intelligence where computer algorithms glean knowledge from enormous amounts of data—with experiments that quickly make and screen hundreds of sample materials at a time. [23] Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. [22]
Category: Artificial Intelligence

[11] viXra:1901.0133 [pdf] submitted on 2019-01-11 02:03:58

A Simple Understanding of Computational Complexity Theory & Spin Glass Theory & Ising Models Classification Based on Mathematical Concepts Using AI/ML/DL/Python Software.

Authors: Nirmal Tej Kumar
Comments: 5 Pages. Short Communication & Technical Notes

A Simple Understanding of Computational Complexity Theory & Spin Glass Theory & Ising Models Classification Based on Mathematical Concepts Using AI/ML/DL/Python Software.
Category: Artificial Intelligence

[10] viXra:1901.0112 [pdf] submitted on 2019-01-08 08:34:13

Artificial Neural Networks for Hearing

Authors: George Rajna
Comments: 55 Pages.

For people with hearing loss, it can very difficult to understand and separate voices in noisy environments. This problem may soon be history thanks to a new groundbreaking algorithm that is designed to recognise and separate voices efficiently in unknown sound environments. [30] While researchers have taken steps to comprehensively catalogue the preferences of men and women, we still don't know which traits are the most important contributors to a person's attractiveness. [29] A group of researchers from MIT have already developed an AI robot that can assist in a labour room. [28] Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. [27] Researchers at Google have recently developed a new technique for synthesizing a motion blurred image, using a pair of un-blurred images captured in succession. [26] Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. [25]
Category: Artificial Intelligence

[9] viXra:1901.0096 [pdf] submitted on 2019-01-07 08:18:30

Machine Predict Person's Attractiveness

Authors: George Rajna
Comments: 53 Pages.

While researchers have taken steps to comprehensively catalogue the preferences of men and women, we still don't know which traits are the most important contributors to a person's attractiveness.
Category: Artificial Intelligence

[8] viXra:1901.0084 [pdf] submitted on 2019-01-06 07:47:11

Future Average Of A Time Series Type Sequence

Authors: Ramesh Chandra Bagadi
Comments: 3 Pages.

In this research investigation, the author has detailed a novel Future Average of a Time Series Type Sequence.
Category: Artificial Intelligence

[7] viXra:1901.0064 [pdf] submitted on 2019-01-05 12:18:32

Visual Navigation for Airborne Control of Ground Robots from Tethered Platform: Creation of the First Prototype

Authors: Ilan Ehrenfeld, Max Kogan, Oleg Kupervasser, Vitalii Sarychev, Irina Volinsky, Roman Yavich, Bar Zangbi
Comments: 11 Pages.

We propose control systems for the coordination of the ground robots. We develop robot efficient coordination using the devices located on towers or a tethered aerial apparatus tracing the robots on controlled area and supervising their environment including natural and artificial markings. The simple prototype of such a system was created in the Laboratory of Applied Mathematics of Ariel University (under the supervision of Prof. Domoshnitsky Alexander) in collaboration with company TRANSIST VIDEO LLC (Skolkovo, Moscow). We plan to create much more complicated prototype using Kamin grant (Israel)
Category: Artificial Intelligence

[6] viXra:1901.0063 [pdf] submitted on 2019-01-05 12:42:49

Autopilot to Maintain Movement of a Drone in a Vertical Plane at a Constant Height in the Presence of Vision-Based Navigation

Authors: Alexander Domoshnitsky, Max Kogan, Oleg Kupervaser, Roman Yavich
Comments: 20 Pages. 14th IFAC WORKSHOP ON TIME DELAY SYSTEMS 2018 June 28-30 Budapest, Hungary

In this report we describe correct operation of autopilot for supply correct drone flight. There exists noticeable delay in getting information about position and orientation of a drone to autopilot in the presence of vision-based navigation. In spite of this fact, we demonstrate that it is possible to provide stable flight at a constant height in a vertical plane. We describe how to form relevant controlling signal for autopilot in the case of the navigation information delay.
Category: Artificial Intelligence

[5] viXra:1901.0061 [pdf] submitted on 2019-01-05 13:43:15

Machine Learning Metabolic Processes

Authors: George Rajna
Comments: 47 Pages.

Bioinformatics researchers at Heinrich Heine University Düsseldorf (HHU) and the University of California at San Diego (UCSD) are using machine learning techniques to better understand enzyme kinetics and thus also complex metabolic processes. [27] DNA regions susceptible to breakage and loss are genetic hot spots for important evolutionary changes, according to a Stanford study. [26] For the English scientists involved, perhaps the most important fact is that their DNA read was about twice as long as the previous record, held by their Australian rivals. [25] Researchers from the University of Chicago have developed a high-throughput RNA sequencing strategy to study the activity of the gut microbiome. [24] Today a large international consortium of researchers published a complex but important study looking at how DNA works in animals. [23] Asymmetry plays a major role in biology at every scale: think of DNA spirals, the fact that the human heart is positioned on the left, our preference to use our left or right hand ... [22] Scientists reveal how a 'molecular machine' in bacterial cells prevents fatal DNA twisting, which could be crucial in the development of new antibiotic treatments. [21] In new research, Hao Yan of Arizona State University and his colleagues describe an innovative DNA HYPERLINK "https://phys.org/tags/walker/" walker, capable of rapidly traversing a prepared track. [20] Just like any long polymer chain, DNA tends to form knots. Using technology that allows them to stretch DNA molecules and image the behavior of these knots, MIT researchers have discovered, for the first time, the factors that determine whether a knot moves along the strand or "jams" in place. [19] Researchers at Delft University of Technology, in collaboration with colleagues at the Autonomous University of Madrid, have created an artificial DNA blueprint for the replication of DNA in a cell-like structure. [18]
Category: Artificial Intelligence

[4] viXra:1901.0051 [pdf] replaced on 2019-01-17 11:06:55

Commonsense Reasoning, Commonsense Knowledge, and the SP Theory of Intelligence

Authors: J Gerard Wolff
Comments: 66 Pages.

Commonsense reasoning (CSR) and commonsense knowledge (CSK) (together abbreviated as CSRK) are areas of study concerned with problems which are trivially easy for adults but which are challenging for artificial systems. This paper describes how the "SP System" -- meaning the "SP Theory of Intelligence" and its realisation in the "SP Computer Model" -- has strengths and potential in several aspects of CSRK. Some shortcomings of the system in that area may be overcome with planned future developments. A particular strength of the SP System is that it shows promise as an overarching theory for four areas of relative success with CSRK problems -- described by other authors -- which have been developed without any integrative theory. How the SP System may help to solve four other kinds of CSRK problem is described: 1) how the strength of evidence for a murder may be influenced by the level of lighting of the murder as it was witnessed; 2) how people may arrive at the commonly-accepted interpretation of phrases like "water bird"; 3) the interpretation of the horse's head scene in "The Godfather" film; and how the SP System may help to resolve the reference of an ambiguous pronoun in sentences in the format of a 'Winograd schema'. Also described is why a fifth CSRK problem -- modelling how a chef may crack an egg into a bowl -- is beyond the capabilities of the SP System as it is now and how those deficiencies may be overcome via planned developments of the system.
Category: Artificial Intelligence

[3] viXra:1901.0042 [pdf] submitted on 2019-01-04 23:31:32

Smoke Detection: Revisit the PCA Matting Approach

Authors: Md. Mobarak Hossain
Comments: 11 Pages. Working Paper

This paper revisits a novel approach, PCA matting, for smoke detection where the removal of the effect of background image and extract textural features are taken into account. This article considers an image as linear blending of smoke component and background component. Under this assumption this paper discusses a model and it's solution using the concept of PCA.
Category: Artificial Intelligence

[2] viXra:1901.0038 [pdf] submitted on 2019-01-03 09:05:01

Deux Applications Des Méthodes de L’analyse Des Données Avec R

Authors: Ayoub Abraich
Comments: 32 Pages.

Dans ce projet, nous allons appliquer deux méthodes d’analyse de données ( classification hiérarchique & l’ACP) pour étudier 2 échantillons de données . On commence par une présentation courte des outils théorique, ensuite nous exposons notre analyse via ces deux méthodes en utilisant le langage R . Je me base principalement dans la partie théorique sur les cours de Wikistat .
Category: Artificial Intelligence

[1] viXra:1901.0017 [pdf] submitted on 2019-01-02 09:40:49

Machine Learning Atomistic Simulations

Authors: George Rajna
Comments: 39 Pages.

To overcome these harsh limitations, the researchers exploited an artificial neural network (ANN) to learn the atomic interactions from quantum mechanics. [26] A new tool is drastically changing the face of chemical research-artificial intelligence. In a new paper published in Nature, researchers review the rapid progress in machine learning for the chemical sciences. [25] A new type of artificial-intelligence-driven chemistry could revolutionise the way molecules are discovered, scientists claim. [24] Tired of writing your own boring code for new software? Finally, there's an AI that can do it for you. [23] Welcome to Move Mirror, where you move in front of your webcam. [22] Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. [21] Marculescu, along with ECE Ph.D. student Chieh Lo, has developed a machine learning algorithm-called MPLasso-that uses data to infer associations and interactions between microbes in the GI microbiome. [20] A team of researchers from the University of Muenster in Germany has now demonstrated that this combination is extremely well suited to planning chemical syntheses-so-called retrosyntheses-with unprecedented efficiency. [19] Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics. [18]
Category: Artificial Intelligence