Artificial Intelligence

1908 Submissions

[28] viXra:1908.0613 [pdf] submitted on 2019-08-31 05:31:03

Evidence Universal Gravitation in Evidence Theory

Authors: Xiangjun Mi, Bingyi Kang
Comments: 20 Pages.

Since the introduction of the law of universal gravitation, it has been widely used in the field of natural sciences and theoretical exploration. In other disciplines, based on the law of universal gravitation, some scholars have proposed universal gravitation search algorithms, swarm intelligence optimization algorithms and fuzzy control. However, there is no research to apply the law of universal gravitation to the field of evidence theory. In this paper, we present for the first time the concept of evidence universal gravitation. In the evidence universal gravitation formula we define the evidence gravitation parameter and the evidence quality generation algorithm. The evidence universal gravitation formula satisfies some basic properties. This paper gives some numerical examples to further illustrate the significance of the gravitational evidence. In addition, because conflict management is an open question, the measurement of conflict has not been reasonably resolved. In this paper, we apply the evidence universal gravitation to conflict processing, and illustrate its wide applicability through the comparison of numerical examples.
Category: Artificial Intelligence

[27] viXra:1908.0604 [pdf] submitted on 2019-08-29 15:15:21

Singularity#1, Machine Evolution, Taskoids and Mfa II

Authors: Bheemaiah, Anil Kumar
Comments: 7 Pages.

The Dog-Ears formal system (Bheemaiah, n.d.) is extended with MFA II architecture for the definition of Taskoids, needing adaptable designs and additive printing. We present a formal system to apply the formulation to illustrate Singularity#1 as an MFA II, application. The concept of Singularity and Singularity#1 and the MFA II design philosophy is explained, with an abstract photographic art. Keywords: Dog-Ears, Taskoids, Singularity, Singularity#1, Robotics, Conversational UI, additive printing.
Category: Artificial Intelligence

[26] viXra:1908.0599 [pdf] submitted on 2019-08-30 01:52:08

Neural Network for Deep Learning

Authors: George Rajna
Comments: 46 Pages.

Recent advances in optical neural networks, however, are closing that gap by simulating the way neurons respond in the human brain. [28] An international team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby, has developed a revolutionary method that quadratically accelerates artificial intelligence (AI) training algorithms. [27] Predictions for an AI-dominated future are increasingly common, but Antoine Blondeau has experience in reading, and arguably manipulating, the runes-he helped develop technology that evolved into predictive texting and Apple's Siri. [26] Artificial intelligence can improve health care by analyzing data from apps, smartphones and wearable technology. [25] Now, researchers at Google's DeepMind have developed a simple algorithm to handle such reasoning-and it has already beaten humans at a complex image comprehension test. [24] A marimba-playing robot with four arms and eight sticks is writing and playing its own compositions in a lab at the Georgia Institute of Technology. The pieces are generated using artificial intelligence and deep learning. [23] Now, a team of researchers at MIT and elsewhere has developed a new approach to such computations, using light instead of electricity, which they say could vastly improve the speed and efficiency of certain deep learning computations. [22] Physicists have found that the structure of certain types of quantum learning algorithms is very similar to their classical counterparts-a finding that will help scientists further develop the quantum versions. [21] We should remain optimistic that quantum computing and AI will continue to improve our lives, but we also should continue to hold companies, organizations, and governments accountable for how our private data is used, as well as the technology's impact on the environment. [20] It's man vs machine this week as Google's artificial intelligence programme AlphaGo faces the world's top-ranked Go player in a contest expected to end in another victory for rapid advances in AI. [19] Google's computer programs are gaining a better understanding of the world, and now it wants them to handle more of the decision-making for the billions of people who use its services. [18]
Category: Artificial Intelligence

[25] viXra:1908.0598 [pdf] submitted on 2019-08-30 02:06:30

[ Rpython+python+qrng-Rlib/qrng/qrng Devices/imageai] Interaction in the Context of Python Based Ising Model Graphs a Simple Suggestion & General Informatics Framework Towards Design+implementation of Iot/hpc Heterogeneous Environment/s.

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

[ rPython+Python+qrng-rlib/QRNG/QRNG Devices/IMAGEAI] Interaction in the Context of Python based Ising Model Graphs - A Simple Suggestion & General Informatics Framework Towards Design+Implementation of IoT/HPC Heterogeneous Environment/s. [ Exploring Large Scale Ising Model Graphs Using (Python+R) Languages for Complex Image Processing & Informatics ]
Category: Artificial Intelligence

[24] viXra:1908.0590 [pdf] submitted on 2019-08-28 07:16:52

AI Track Birds' Dark-of-night Migrations

Authors: George Rajna
Comments: 45 Pages.

On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. [28] Researchers aboard Schmidt Ocean Institute's research vessel Falkor used autonomous underwater robots, along with the Institute's remotely operated vehicle (ROV) SuBastian, to acquire 1.3 million high resolution images of the seafloor at Hydrate Ridge, composing them into the largest known high resolution color 3D model of the seafloor. [27] Now, a team of A*STAR researchers and colleagues has developed a detector that can successfully pick out where human actions will occur in videos, in almost real-time. [26] A team of researchers affiliated with several institutions in Germany and the U.S. has developed a deep learning algorithm that can be used for motion capture of animals of any kind. [25] In 2016, when we inaugurated our new IBM Research lab in Johannesburg, we took on this challenge and are reporting our first promising results at Health Day at the KDD Data Science Conference in London this month. [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] Such are the big questions behind one of the new projects underway at the MIT-IBM Watson AI Laboratory, a collaboration for research on the frontiers of artificial intelligence. [21]
Category: Artificial Intelligence

[23] viXra:1908.0578 [pdf] submitted on 2019-08-28 10:30:54

AI Learns our Universe Model

Authors: George Rajna
Comments: 22 Pages.

Researchers have successfully created a model of the Universe using artificial intelligence, reports a new study. [9] A deep-learning system that can sift gravitational wave signals from background noise has been created by physicists in the UK. [8] Using data from the first-ever gravitational waves detected last year, along with a theoretical analysis, physicists have shown that gravitational waves may oscillate between two different forms called "g" and "f"-type gravitational waves. [7]
Category: Artificial Intelligence

[22] viXra:1908.0576 [pdf] submitted on 2019-08-28 11:32:02

Smarter Experiments Discovery

Authors: George Rajna
Comments: 26 Pages.

A team of scientists from the U.S. Department of Energy's Brookhaven National Laboratory and Lawrence Berkeley National Laboratory designed, created, and successfully tested a new algorithm to make smarter scientific measurement decisions. [10] Researchers have successfully created a model of the Universe using artificial intelligence, reports a new study. [9] A deep-learning system that can sift gravitational wave signals from background noise has been created by physicists in the UK. [8]
Category: Artificial Intelligence

[21] viXra:1908.0573 [pdf] submitted on 2019-08-28 23:02:20

Medical Images Registration Concepts in the Context of Following Software Involving [ Simpleelastix+imageai ] for Iot/hpc Heterogeneous Environment/s – an Interesting Investigation Using Ai+python.

Authors: Nirmal Tej Kumar
Comments: 2 Pages. Short Technical Notes

Medical Images Registration Concepts in the Context of Following Software involving [ SimpleElastix+IMAGEAI ] for IoT/HPC Heterogeneous Environment/s – An Interesting Investigation Using AI+Python. [ Exploring Simple Elastix : Medical Image Registration Library + ImageAI -Python based AI Library ]
Category: Artificial Intelligence

[20] viXra:1908.0552 [pdf] submitted on 2019-08-28 03:22:22

Machine Learning Eye Imaging

Authors: George Rajna
Comments: 42 Pages.

"We believe that with further advances such as OCRT, the high impact of this technology may be extended not only to additional ophthalmic diagnostics, but to imaging of pathologies in tissues accessible by endoscopes, catheters, and bronchoscopes throughout the body." [27] Working with researchers from Arizona State University, the team's new mathematical method is able to identify anomalies or bugs in the system before the car hits the road. [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]
Category: Artificial Intelligence

[19] viXra:1908.0495 [pdf] submitted on 2019-08-24 14:10:03

Use of Aws Lex in a Taskoid Based Non-Animated Assisted Teaching System.

Authors: Bheemaiah, Anil Kumar
Comments: 4 Pages.

Abstract: A formal formulation of the Task and work quantification system of Taskoids for A.I assisted in teaching using AWS Sumerian and Lex. We define the taskoids TAv1.0 and TAv2.0, the 2.0 version being animated. Taskoids are viewed as intention machine evolution with an EdTech framework for work-study based MOOC courses to assist in machine evolution and SaaS-based automation. Keywords: AWS Sumerian, Lex, Taskoid, ppt presentations, document storage, AWS s3, intents, AWS Lambda, Automation of Teaching. What: We define a Taskoid for a SaaS-based design of two versions of a Teaching Assistant with a conversational UI to a slide-based talk and a question and answer session. We define a formal framework for the Taskoid definition. How: The formal system is defined in a symbolic algebraic and DOM format with an axiomatic proof. The code is implemented in python using AWS CLI and Lex JSON objects. Why: The increased need for classroom and online education has led to scalability concerns and cost of education, addressed by the automation of teaching especially in the graduate curriculum in the Udacity learning model, of automated slide talks and QnA sessions. Automated grading has already been incorporated in the Udacity Model. Thus graduate MOOC courses can easily be assembled just in time using the slide presentations, QnA service and suggested readings with automated grading and feedback software. So What: The promise of free graduate education and work-study positions to move the graduate student community beyond the low-income status is finally possible within the Udacity Learning Model. Automated components with Taskoids enable easier formulation of MOOC content and presentation, and low code blueprints called Taskoids, allow for production coding in course work, allowing work-study positions of true resource usage at 40 hours per week, allowing for compensation on par with the industry internships. Hence implementing True EdTech models.
Category: Artificial Intelligence

[18] viXra:1908.0478 [pdf] submitted on 2019-08-24 01:49:53

Exploring IMAGEAI/Quantum Mechanics/IoT/HPC Heterogeneous Computing Environments based on LLVM based Optimized Python to Probe Novel Designs of DICOM+Medical Image Processing R&D Applications.

Authors: Nirmal Tej Kumar
Comments: 5 Pages. [ LLVM based Optimized Python for Scientific Computing in the Context of Medical Image Processing ]

An Interesting Suggestion involved in Probing & Construction of an LLVM based Specializer in the Context of Medical Image Processing R&D Using [ LLVM Compiler Tool Kit + (Python-LLVM) Specializer + (qrng-Python) Library +(IMAGEAI-Python) AI Image Processing Library ] towards Design & Development of a Novel DICOM Medical Image Processing Informatics Software Framework.
Category: Artificial Intelligence

[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