Artificial Intelligence

1905 Submissions

[13] viXra:1905.0359 [pdf] submitted on 2019-05-19 23:17:32

An Interesting Insight Into Polyhedra Computation Based on Ppl[(parma Polyhedra Library in C++)/imagej/jiprolog/jikesrvm/java/eclipse-Ide] in the Context of Software Development Involving R&D of [ai+complex Systems+cryo-em Informatics] Using Iot/hpc Frame

Authors: Nirmal Tej Kumar
Comments: 3 Pages. Short Communication

AN INTERESTING INSIGHT INTO POLYHEDRA COMPUTATION BASED ON PPL[(Parma Polyhedra Library in C++)/ImageJ/JIProlog/JikesRVM/Java/Eclipse-IDE] IN THE CONTEXT OF SOFTWARE DEVELOPMENT INVOLVING R&D OF [AI+COMPLEX SYSTEMS+CRYO-EM INFORMATICS] USING IoT/HPC FRAMEWORK. [ Probing Numerical Abstractions in Engineering/Physics/Biology/Image Processing Domains ]
Category: Artificial Intelligence

[12] viXra:1905.0271 [pdf] submitted on 2019-05-17 11:28:39

Neural Network Study Dark Matter

Authors: George Rajna
Comments: 48 Pages.

As cosmologists and astrophysicists delve deeper into the darkest recesses of the universe, their need for increasingly powerful observational and computational tools has expanded exponentially.
Category: Artificial Intelligence

[11] viXra:1905.0266 [pdf] submitted on 2019-05-18 02:10:45

Machine Learning of Fusion Energy

Authors: George Rajna
Comments: 34 Pages.

Researchers at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma-the state of matter composed of free electrons and atomic nuclei, or ions-that fuels fusion reactions. [22] Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th. [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

[10] viXra:1905.0261 [pdf] submitted on 2019-05-16 06:42:05

AI Teach us about Proteins

Authors: George Rajna
Comments: 45 Pages.

Researchers in Berlin and Heidelberg have now developed an intelligent neural network that can predict the functions of proteins in the human body. [25] AI combined with stem cells promises a faster approach to disease prevention. Andrew Masterson reports. [24] According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence—the great reporting done by journalists around the globe." [23]
Category: Artificial Intelligence

[9] viXra:1905.0258 [pdf] submitted on 2019-05-16 07:01:34

Machine Learning of Porous Materials

Authors: George Rajna
Comments: 33 Pages.

Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th. [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

[8] viXra:1905.0257 [pdf] submitted on 2019-05-16 07:23:12

Facial Recognition Fears

Authors: George Rajna
Comments: 50 Pages.

A ban on facial recognition for law enforcement in San Francisco highlights growing public concerns about technology which is seeing stunning growth for an array of applications while provoking worries over privacy. [26] Researchers in Berlin and Heidelberg have now developed an intelligent neural network that can predict the functions of proteins in the human body. [25] AI combined with stem cells promises a faster approach to disease prevention. Andrew Masterson reports. [24]
Category: Artificial Intelligence

[7] viXra:1905.0198 [pdf] submitted on 2019-05-13 11:20:48

AI in the next Election Decide

Authors: George Rajna
Comments: 46 Pages.

If trust in our politicians is at an all time low, maybe it's time to reconsider how we elect them in the first place. Can artificial intelligence (AI) help with our voting decisions? [27] In January 2017, IBM made the bold statement that within five years, HYPERLINK "https://phys.org/tags/health/" health professionals could apply AI to better understand how words and speech paint a clear window into our mental health. [26]
Category: Artificial Intelligence

[6] viXra:1905.0168 [pdf] submitted on 2019-05-11 06:49:56

AI Develops Human-Like Number Sense

Authors: George Rajna
Comments: 33 Pages.

All the successful computational approaches to detecting objects in images work by building up a kind of statistical picture of an object from many individual examples – a type of learning. [20] And as will be presented today at the 25th annual meeting of the Cognitive Neuroscience Society (CNS), cognitive neuroscientists increasingly are using those emerging artificial networks to enhance their understanding of one of the most elusive intelligence systems, the human brain. [19]
Category: Artificial Intelligence

[5] viXra:1905.0147 [pdf] submitted on 2019-05-09 12:18:21

Neural Network on Single Chip

Authors: George Rajna
Comments: 49 Pages.

A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip. [28] Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, dynamics similar to neurons in the living brain. [27] Navid Borhani, a research-team member, says this machine learning approach is much simpler than other methods to reconstruct images passed through optical fibers, which require making a holographic measurement of the output. [26]
Category: Artificial Intelligence

[4] viXra:1905.0080 [pdf] submitted on 2019-05-06 01:08:11

A Fast Algorithm for NetworkForecasting Time Series

Authors: Fan Liu, Yong Deng
Comments: 7 Pages.

Time series has a wide range of applications in various fields. Recently, a new math tool, named as visibility graph, is developed to transform the time series into complex networks. One shortcoming of existing network-based time series prediction methods is time consuming. To address this issue, this paper proposes a new prediction algorithm based on visibility graph and markov chains. Among the existing network-based time series prediction methods, the main step is to determine the similarity degree between two nodes based on link prediction algorithm. A new similarity measure between two nodes is presented without the iteration process in classical link prediction algorithm. The prediction of Construct Cost Index (CCI) shows that the proposed method has the better accuracy with less time consuming.
Category: Artificial Intelligence

[3] viXra:1905.0058 [pdf] submitted on 2019-05-05 03:18:10

An Insight Into [erlang – Java Interface Jikesrvm(research Virtual Machine) – Yanni] Based Informatics Platform for Telecom R&D.

Authors: Nirmal Tej Kumar
Comments: 4 Pages. Short Communication

An Insight into [Erlang – Java interface -JikesRVM(Research Virtual Machine) – YANNI] based Informatics Platform for Telecom R&D. [ Erlang/OTP/Hardware/Software/Firmware based Co-Design of Intelligent Telecommunication Systems ]
Category: Artificial Intelligence

[2] viXra:1905.0049 [pdf] submitted on 2019-05-03 10:53:37

Artificial Neural Networks Brain Activity

Authors: George Rajna
Comments: 58 Pages.

MIT neuroscientists have performed the most rigorous testing yet of computational models that mimic the brain's visual cortex. [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

[1] viXra:1905.0044 [pdf] submitted on 2019-05-02 11:23:13

Machine Learning Quantum Sensing

Authors: George Rajna
Comments: 43 Pages.

Researchers at the University of Bristol have reached new heights of sophistication in detecting magnetic fields with extreme sensitivity at room temperature by combining machine learning with a quantum sensor. [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] 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