Artificial Intelligence

1908 Submissions

[17] viXra:1908.0450 [pdf] submitted on 2019-08-21 11:24:58

Mapillary Based Plant Distributions of Ethnobotanical Afforestation.

Authors: Bheemaiah, Anil Kumar
Comments: 6 Pages.

Abstract: Mapillary is an open-source code base for the use of GPU based Deep Learning for Semantic Segmentation of wild images. We propose the creation of an autonomous drone for the automated capture of scientific images of medicinal and edible plants to create geotagged maps of plants on Mapillary.com with additional tags on plant sizes, species, and edible and medicinal value. This information is used in the planning of sponsored five or more level afforestation as social and academic forestry for edible and medicinal value. The same research is also useful in planning afforestation on Mars. Keywords: Miyawakis, Mapillary, Seamless Segmentation, FPN, ResNet50, Redtail, Edible and Medicinal Plants, Geotag
Category: Artificial Intelligence

[16] viXra:1908.0422 [pdf] submitted on 2019-08-20 20:07:39

Replication of the Keyword Extraction Part of the Paper "Without the Clutter of Unimportant Words": Descriptive Keyphrases for Text Visualization

Authors: Shibamouli Lahiri
Comments: 36 Pages.

"Keyword Extraction" refers to the task of automatically identifying the most relevant and informative phrases in natural language text. As we are deluged with large amounts of text data in many different forms and content - emails, blogs, tweets, Facebook posts, academic papers, news articles - the task of "making sense" of all this text by somehow summarizing them into a coherent structure assumes paramount importance. Keyword extraction - a well-established problem in Natural Language Processing - can help us here. In this report, we construct and test three different hypotheses (all related to the task of keyword extraction) that take us one step closer to understanding how to meaningfully identify and extract "descriptive" keyphrases. The work reported here was done as part of replicating the study by Chuang et al. [3].
Category: Artificial Intelligence

[15] viXra:1908.0356 [pdf] submitted on 2019-08-18 05:47:47

[ IMAGEAI/IoT/HPC/Hardware/Software/Firmware ] based Novel Design of Next Generation Hybrid Heterogeneous Medical Imaging Platforms R&D Using Theorem Provers like Z3Py - A Short Technical Notes & Simple Suggestion.

Authors: Nirmal Tej Kumar
Comments: 5 Pages. Short Communication & Simple Suggestion

It was proposed and we are presenting an Interesting Informatics Platform based on [ IMAGEAI-Python AI Library + Python Theorem Prover/s ( like Z3Py : the Z3 API in Python)] in the Context of[ Image J/Fiji/Bone J/Java Virtual Machine )/JikesRVM - Research Virtual Machine/GCSpy Tool/Compiler DNA Techniques ] Using Imaging Mathematics+Hardware Mathematics w.r.t [ Java/Jython/Python ] involving Challenges of Advanced Medical Image Processing. A simple approach is shown as a block diagram below for further investigations and to inspire our readers to come up with more rigorous approaches in the near future.Not all details are presented in this communication.
Category: Artificial Intelligence

[14] viXra:1908.0349 [pdf] submitted on 2019-08-16 15:02:52

Social Intelligence in the Design of Conversational Ui.

Authors: Bheemaiah, Anil Kumar, Monitor-Tabby
Comments: 9 Pages.

Abstract This publication is a mathematical model of social intelligence and knowledge management in chat conversational UIs. The paper defines one model of social intelligence as defined in the design of machine learning for conversational UIs, and explores the use of this intelligence in conversational UI training and knowledge inheritance. A case study of Botlibre conversational UIs, which we use in our healthcare and education research is presented. A study of Botlibre’s knowledge inheritance and the expansion to social intelligence like Facebook Messenger is presented. Keywords: SNA, Social Intelligence, Emotional Intelligence, Conversational UI
Category: Artificial Intelligence

[13] viXra:1908.0328 [pdf] submitted on 2019-08-15 19:31:18

The Carcass

Authors: Bheemaiah, Anil Kumar
Comments: 3 Pages.

Abstract: The story of the carcass, a dead shell of an automobile discovered by future humanity in a desert-like Mojave, where they reconstruct a history of living metal bodies automobiles as the residents of this planet. We propose a method to bring to life this carcass with electric hub wheels and autopilot systems and consider the creation of Wall-E inspired LandBots, all for afforestation and many other task automation after the discovery of one living plant. Maybe Earth is habitable again? Keywords: LandBots, Wall-E, Humour, ELectric Wheels, Singularity#1, Taskoids
Category: Artificial Intelligence

[12] viXra:1908.0304 [pdf] submitted on 2019-08-14 12:52:37

Artificial Intelligence Detect Atrial Fibrillation

Authors: George Rajna
Comments: 48 Pages.

Researchers in the US have developed a rapid, artificial intelligence (AI)-based test that can identify patients with an abnormal heart rhythm, even when it appears normal. [28] Ever since the late 19th century, physicists have known about a counterintuitive property of some electric circuits called negative resistance. [27] Scientists from EPFL's Institute of Bioengineering have discovered that the circadian clock and the cell-cycle are, in fact, synchronized. [26] Researchers at the University of Illinois at Chicago have identified a molecular switch that causes immune cells called macrophages to clean up cellular debris caused by infections instead of contributing to inflammation and tissue injury. [25]
Category: Artificial Intelligence

[11] viXra:1908.0301 [pdf] submitted on 2019-08-14 22:38:17

An Insight Into Random Numbers & Applications in the Context of Signal Processing Using [ Imageai +python+qrng Libraries ] – a Simple Technical Note & Suggestion on Using QRNG Services/qrng Related Devices Towards Heterogeneous [ Iot/hpc] Image Processing

Authors: Nirmal Tej Kumar
Comments: 2 Pages. Short Communication & Simple Suggestion

An Insight into Random Numbers & Applications in the Context of Signal Processing Using [ IMAGEAI +Python+qrng libraries ] – A Simple Technical Note & Suggestion on Using QRNG Services/QRNG Related Devices towards Heterogeneous [ IoT/HPC] Image Processing Software R&D. [ Exploring (QRNG+IMAGEAI) based R&D of Signal & Image Processing Software Using Python ]
Category: Artificial Intelligence

[10] viXra:1908.0298 [pdf] submitted on 2019-08-15 04:05:07

The Roadmap to Artificial General Intelligence (Agi)

Authors: A. V. Grigorov
Comments: 3 Pages.

Intelligence involves language and linguistic reasoning; this makes it a phenomenon that is partly extrinsic to the brain, to the extent that language, as a system, is partly extrinsic to the brain. Consciousness and motivation/rewards (instincts/feelings) likely predate intelligence, from an evolutionary perspective, and ought to be treated separately. The following brief discussion on AI addresses those issues and proposes a plausible path to the development of AGI.
Category: Artificial Intelligence

[9] viXra:1908.0297 [pdf] submitted on 2019-08-15 05:17:31

Deep Caching for Agent-Based Analysis and Optimization

Authors: Rune Vestvik
Comments: 1 Page.

Agent-based modeling and simulation is a "bottomup" approach for system research, optimization and decision support. The method consist of mapping real world processes intoadigitaltwinmodel[1]andperformingrisk-freeexperiments on the digital twin before applying changes back into real world scenarios. The need for computation resources increases as models grow more detailed. This fact, combined with high stochasticity and the use of Monte Carlo simulations, slows down the processes of performing sensitivity analysis and model optimization. This paper introduces a method for caching agent-based simulations for increased performance and shorting of the feedback loop.
Category: Artificial Intelligence

[8] viXra:1908.0195 [pdf] submitted on 2019-08-10 10:56:12

Neural Networks for Carbon Nanotubes

Authors: George Rajna
Comments: 85 Pages.

Thin films made of carbon nanotubes hold a lot of promise for advanced optoelectronics, energy and medicine, however with their manufacturing process subject to close supervision and stringent standardization requirements, they are unlikely to become ubiquitous anytime soon. [46] The work will help to improve the sensitivity of detection for the PandaX-III neutrinoless double beta decay experiment, and deepen our knowledge of the nature of neutrinos. [45] The interactions of quarks and gluons are computed using lattice quantum chromodynamics (QCD)-a computer-friendly version of the mathematical framework that describes these strong-force interactions. [44] The building blocks of matter in our universe were formed in the first 10 microseconds of its existence, according to the currently accepted scientific picture. [43] In a recent experiment at the University of Nebraska-Lincoln, plasma electrons in the paths of intense laser light pulses were almost instantly accelerated close to the speed of light. [42] Plasma particle accelerators more powerful than existing machines could help probe some of the outstanding mysteries of our universe, as well as make leaps forward in cancer treatment and security scanning-all in a package that's around a thousandth of the size of current accelerators. [41] The Department of Energy's SLAC National Accelerator Laboratory has started to assemble a new facility for revolutionary accelerator technologies that could make future accelerators 100 to 1,000 times smaller and boost their capabilities. [40] The authors designed a mechanism based on the deployment of a transport barrier to confine the particles and prevent them from moving from one region of the accelerator to another. "There is strong experimental evidence that there is indeed some new physics lurking in the lepton sector," Dev said. [38]
Category: Artificial Intelligence

[7] viXra:1908.0073 [pdf] submitted on 2019-08-05 01:55:18

A Short Technical Note on ‘Promising Aspects’ of an Informatics Platform for Analysis of Raman Spectra with [ Julia Language + its DSP Libraries ] – An Introduction to Signal Processing Using [ Julia/IoT/HPC/MXNet-Machine Learning ]

Authors: Nirmal Tej Kumar
Comments: 1 Page. Short Communication

A Short Technical Note on ‘Promising Aspects’ of an Informatics Platform for Analysis of Raman Spectra with [ Julia Language + its DSP Libraries ] – An Introduction to Signal Processing Using [ Julia/IoT/HPC/MXNet-Machine Learning ] in the Context of Petascale Computing R&D.
Category: Artificial Intelligence

[6] viXra:1908.0063 [pdf] submitted on 2019-08-05 06:55:03

AI Detect Fast Radio Bursts

Authors: George Rajna
Comments: 44 Pages.

A Swinburne Ph.D. student has built an automated system that uses artificial intelligence (AI) to revolutionise our ability to detect and capture fast radio bursts (FRBs) in real-time. [26] Most discussions about artificial intelligence (AI) are characterised by hyperbole and hysteria. [25] The New York Times contacted IBM Research in late September asking for our help to use AI in a clever way to create art for the coming special section on AI. [24]
Category: Artificial Intelligence

[5] viXra:1908.0059 [pdf] submitted on 2019-08-04 03:32:53

Understanding [ Haskell/HLearn/HLearn-Algebra/Java/JikesRVM/JIProlog] in the Context of Future Bio-metrics Systems Research Domains with IoT-Devices/HPC Heterogeneous Environment/s – A Promising Insight

Authors: Nirmal Tej Kumar
Comments: 2 Pages. Short Communication & Simple Suggestion

Understanding [ Haskell/HLearn/HLearn-Algebra/Java/JikesRVM/JIProlog] in the Context of Future Bio-metrics Systems Research Domains with IoT-Devices/HPC Heterogeneous Environment/s – A Promising Insight into Hi-End [ Haskell+Java ] based Intelligent Computational Aspects of Mobile Informatics involving [ AI/ML/DL ] based R&D of Cyber Attacks or Threats. [ An Investigation Using Haskell/Java/JikesRVM/JIProlog Software Related Concepts ]
Category: Artificial Intelligence

[4] viXra:1908.0041 [pdf] submitted on 2019-08-02 14:33:06

The Basic Laws of Coded Information: from DNA to ai

Authors: Victor Paromov
Comments: 9 pages, 1 figure

The basic laws of coded information that differ from the basic laws of matter have been proposed, and classification of the three major types of "information processing machines" (IPMs) have been given. In addition, the main characteristics of the future Artificial General Intelligence (AGI) have been discussed.
Category: Artificial Intelligence

[3] viXra:1908.0036 [pdf] submitted on 2019-08-02 23:24:53

Cryo-Electron Microscopy(cryo-Em) Image Processing & Informatics Framework in the Context of [ Python/pixelcnn++/tensorflow(tf)/imagenet/imaging Mathematics ] Towards hi-End Electron Microscopy Imaging Software R&D – a Simple Introduction & Suggestion.

Authors: Nirmal Tej Kumar
Comments: 2 Pages. Short Communication & Simple Suggestion

Cryo-Electron Microscopy(cryo-EM) Image Processing & Informatics Framework in the Context of [ Python/PixelCNN++/TensorFlow(TF)/ImageNet/Imaging Mathematics ] towards Hi-End Electron Microscopy Imaging Software R&D – A Simple Introduction & Suggestion.
Category: Artificial Intelligence

[2] viXra:1908.0012 [pdf] submitted on 2019-08-02 01:17:29

[ Understanding + Investigation ] of ZF Theory Using Higher Order Logic(hol) Theorem Prover in Scala & Moving Forward with ‘Formalization’ of Ruby Language Based Interaction of ZF Theory in the Context of Interfacing [ Bosch-XDK Iot Device/qrng]

Authors: Nirmal Tej Kumar
Comments: 4 Pages. Short Communication & Simple Suggestion

[ Understanding + Investigation ] of ZF Theory Using Higher Order Logic(HOL) Theorem Prover in Scala & Moving Forward with ‘Formalization’ of Ruby Language based interaction of ZF Theory in the context of Interfacing [ Bosch-XDK IoT Device/QRNG/Quantum Device/HPC Environment/s ] towards Advanced Intelligent Telecom Systems R&D – A Simple R&D Informatics Framework Implementation based on [ HOL/Scala/Ruby/Deep Learning ] Concepts.
Category: Artificial Intelligence

[1] viXra:1908.0006 [pdf] submitted on 2019-08-02 06:29:28

Machine Learning Metal Compounds

Authors: George Rajna
Comments: 46 Pages.

"Machine learning will be super-useful in figuring out the important design parameters for a transition metal complex that will make each step in that process energetically favorable." [26] A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. [25] Researchers have mathematically proven that a powerful classical machine learning algorithm should work on quantum computers. [24] Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins. [23]
Category: Artificial Intelligence