Artificial Intelligence

1811 Submissions

[27] viXra:1811.0508 [pdf] submitted on 2018-11-29 11:19:52

Elastic Foam Uses Machine Learning

Authors: George Rajna
Comments: 47 Pages.

Elastic foams that can detect deformities in their shape have been created by scientists in the US. The materials use a combination of optical fibres and machine learning techniques to measure deformations. [26] Today IBM Research is introducing IBM Crypto Anchor Verifier, a new technology that brings innovations in AI and optical imaging together to help prove the identity and authenticity of objects. [25] AI combined with stem cells promises a faster approach to disease prevention. Andrew Masterson reports. [24]
Category: Artificial Intelligence

[26] viXra:1811.0506 [pdf] submitted on 2018-11-29 12:40:00

A New Representation of Basic Probability Assignment in Dempster-Shafer Theory

Authors: Ziyuan Luo, Yong Deng
Comments: 24 Pages.

Because of the superiority in dealing with uncertainty expression, Dempster-Shafer theory (D-S theory) is widely used in decision theory. In D-S theory, the basic probability assignment (BPA) is the basis and core. Recently, some researchers represent BPA on a Ndimension frame of discernment (FOD) as 2^N-dimension vector in Descartes coordinate system. However, the concept of orthogonality in this method is confused and inexplicable. A new representation method of BPA is proposed in this paper. The BPA on a N-dimension FOD is represented as Ndimension vector with parameters in this method. Then BPA is expressed as subset of N-dimension Cartesian space. The essence of this method is to convert BPA to probability distribution (PD) with parameters. Based on this method, problems in D-S theory can be solved, which include the fusion of BPAs, the distance between BPAs, the correspondence between BPA and probability, and the entropy of BPAs. This representation conforms to the definition of orthogonality, and can get satisfactory computing results.
Category: Artificial Intelligence

[25] viXra:1811.0452 [pdf] submitted on 2018-11-27 13:24:33

Rethinking Intelligence and Computer Processing

Authors: Savior F. Eason
Comments: 16 Pages.

In the book "Hitchhiker's Guide to the galaxy", a computer by the name of "Deep thought" is constructed to calculate the meaning of life, the universe, and everything. This paper presents my own personal project, project ARIS, which forces us to rethink AI, data processing, and ways we could integrate cyber-technology to humans and animals, creating Post-biological cyber-beings, and also going into some of the philosophical implications for this. It also explains an algorithm I created that would allow us to create an advanced, "True" AI and avoid a singularity situation similar to Skynet in the movie "Terminators" or Ultron in "Avengers:Age of Ultron". Also presents a new kind of data processor and a computer that would allow mankind to process the markup of reality itself, and possible even use truly simulated universes as a source of computational power.
Category: Artificial Intelligence

[24] viXra:1811.0431 [pdf] submitted on 2018-11-26 08:26:54

Machine Learning Without Negative Data

Authors: George Rajna
Comments: 42 Pages.

A research team from the RIKEN Center for Advanced Intelligence Project (AIP) has successfully developed a new method for machine learning that allows an AI to make classifications without what is known as "negative data," a finding which could lead to wider application to a variety of classification tasks. [26] Artificial intelligence is helping improve safety along a stretch of Las Vegas' busiest highway. [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] Granting human rights to a computer would degrade human dignity. [23] IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. [22] A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience. [21]
Category: Artificial Intelligence

[23] viXra:1811.0417 [pdf] submitted on 2018-11-26 22:55:36

Distance Measure of Pythagorean Fuzzy Sets

Authors: Fuyuan Xiao
Comments: 10 Pages.

The Pythagorean fuzzy set (PFS), as an extension of intuitionistic fuzzy set, is more capable of expressing and handling the uncertainty under uncertain envi- ronments. Whereas, how to measure the distance between Pythagorean fuzzy sets appropriately is still an open issue. Therefore, a novel distance measure between Pythagorean fuzzy sets is proposed based on the Jensen{Shannon di- vergence in this paper. The new distance measure has the following merits: i) it meets the axiomatic de nition of distance measure; ii) it can better indicate the discrimination degree of PFSs. Then, numerical examples are demonstrated that the PFSJS distance measure is feasible and reasonable.
Category: Artificial Intelligence

[22] viXra:1811.0390 [pdf] submitted on 2018-11-24 13:19:39

Deng Entropy in Thermodynamics

Authors: Fan Liu; Yong Deng
Comments: 8 Pages.

Entropy as a measure of disorder can be widely used in many fields. In this paper, based on the localized system, a new entropy Deng entropy is derived assuming that the particles have superposition states.
Category: Artificial Intelligence

[21] viXra:1811.0383 [pdf] submitted on 2018-11-23 05:42:36

Supercomputer Accelerate Research

Authors: George Rajna
Comments: 53 Pages.

A new supercomputer designed to speed up research on two of the UK's most important battery research projects has been installed at University College London (UCL). [37] Using micromagnetic simulation, scientists have found the magnetic parameters and operating modes for the experimental implementation of a fast racetrack memory module that runs on spin current, carrying information via skyrmionium, which can store more data and read it out faster. [36] Scientists at the RDECOM Research Laboratory, the Army's corporate research laboratory (ARL) have found a novel way to safeguard quantum information during transmission, opening the door for more secure and reliable communication for warfighters on the battlefield. [35] Encrypted quantum keys have been sent across a record-breaking 421 km of optical fibre at the fastest data rate ever achieved for long-distance transmission. [34] The companies constructed an application for data transmission via optical fiber lines, which when combined with high-speed quantum cryptography communications technologies demonstrated practical key distribution speeds even in a real-world environment. [33] Nanosized magnetic particles called skyrmions are considered highly promising candidates for new data storage and information technologies. [32]
Category: Artificial Intelligence

[20] viXra:1811.0367 [pdf] submitted on 2018-11-24 02:47:01

The Semi-Pascal Triangle of Maximum Deng Entropy

Authors: Xiaozhuan Gao; Yong Deng
Comments: 11 Pages.

In D-S theory, measure the uncertainty has aroused many people’s attention. Deng proposed the interesting Deng entropy that it can measure non-specificity and discord. Hence, exploring the physical meaning of Deng entropy is an essential issue. Based the maximum Deng entropy and fractal, the paper discuss the relation in them.
Category: Artificial Intelligence

[19] viXra:1811.0351 [pdf] submitted on 2018-11-23 03:23:27

AI Improves Highway Safety

Authors: George Rajna
Comments: 40 Pages.

Artificial intelligence is helping improve safety along a stretch of Las Vegas' busiest highway. [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] Granting human rights to a computer would degrade human dignity. [23] IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. [22] A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience. [21] The possibility of cognitive nuclear-spin processing came to Fisher in part through studies performed in the 1980s that reported a remarkable lithium isotope dependence on the behavior of mother rats. [20]
Category: Artificial Intelligence

[18] viXra:1811.0332 [pdf] submitted on 2018-11-22 02:04:28

A Crash Architecture

Authors: Miguel A. Sanchez-Rey
Comments: 3 Pages.

Dead at arrival.
Category: Artificial Intelligence

[17] viXra:1811.0319 [pdf] submitted on 2018-11-20 09:37:19

AI and Optoelectronics

Authors: George Rajna
Comments: 53 Pages.

Using machine-learning and an integrated photonic chip, researchers from INRS (Canada) and the University of Sussex (UK) can now customize the properties of broadband light sources. [31] A team of EPFL scientists has now written a machine-learning program that can predict, in record time, how atoms will respond to an applied magnetic field. [30] Researchers from the University of Luxembourg, Technische Universität Berlin, and the Fritz Haber Institute of the Max Planck Society have combined machine learning and quantum mechanics to predict the dynamics and atomic interactions in molecules. [29] For the first time, physicists have demonstrated that machine learning can reconstruct a quantum system based on relatively few experimental measurements. [28] AlphaZero plays very unusually; not like a human, but also not like a typical computer. Instead, it plays with "real artificial" intelligence. [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]
Category: Artificial Intelligence

[16] viXra:1811.0253 [pdf] submitted on 2018-11-16 08:54:01

AI Predicting Enzyme Activity

Authors: George Rajna
Comments: 40 Pages.

University of Oxford have found a general way of predicting enzyme activity. [23] Researchers at Caltech have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. [22] Researchers have devised a magnetic control system to make tiny DNA-based robots move on demand—and much faster than recently possible. [21] Humans have 46 chromosomes, and each one is capped at either end by repetitive sequences called telomeres. [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] An LMU team now reveals the inner workings of a molecular motor made of proteins which packs and unpacks DNA. [17] Chemist Ivan Huc finds the inspiration for his work in the molecular principles that underlie biological systems. [16] What makes particles self-assemble into complex biological structures? [15] Scientists from Moscow State University (MSU) working with an international team of researchers have identified the structure of one of the key regions of telomerase—a so-called "cellular immortality" ribonucleoprotein. [14] Researchers from Tokyo Metropolitan University used a light-sensitive iridium-palladium catalyst to make "sequential" polymers, using visible light to change how building blocks are combined into polymer chains. [13]
Category: Artificial Intelligence

[15] viXra:1811.0240 [pdf] submitted on 2018-11-15 08:25:01

AI for Sustainability Goals

Authors: George Rajna
Comments: 41 Pages.

As ESA's ɸ-week continues to provoke and inspire participants on new ways of using Earth observation for monitoring our world to benefit the citizens of today and of the future, it is clear that artificial intelligence is set to play an important role. [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] Granting human rights to a computer would degrade human dignity. [23] IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. [22] A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience. [21]
Category: Artificial Intelligence

[14] viXra:1811.0226 [pdf] submitted on 2018-11-14 10:24:55

Private Photo Recognition

Authors: George Rajna
Comments: 77 Pages.

Researchers at Osaka University have proposed an encryption-free framework for preserving users' privacy when they use photo-based information services. [47] When building a predictive model, reliable results depend on two issues: the number of variables that come into play and the number of examples entered into the system. [46] A new computational approach that allows the identification of molecular alterations associated with prognosis and resistance to therapy of different types of cancer was developed by the research group led by Nuno Barbosa Morais at Instituto de Medicina Molecular João Lobo Antunes (iMM; Portugal). [45] A discovery by scientists at UC Riverside may open up new ways to control steroid hormone-mediated processes, including growth and development in insects, and sexual maturation, immunity, and cancer progression in humans. [44] New 3-D maps of water distribution during cellular membrane fusion are accelerating scientific understanding of cell development, which could lead to new treatments for diseases associated with cell fusion. [43] Thanks to the invention of a technique called super-resolution fluorescence microscopy, it has recently become possible to view even the smaller parts of a living cell. [42] A new instrument lets researchers use multiple laser beams and a microscope to trap and move cells and then analyze them in real-time with a sensitive analysis technique known as Raman spectroscopy. [41] All systems are go for launch in November of NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, which will use high-resolution laser ranging to study Earth's forests and topography from the International Space Station (ISS). [40] Scientists from the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI) in Berlin combined state-of-the-art experiments and numerical simulations to test a fundamental assumption underlying strong-field physics. [39] Femtosecond lasers are capable of processing any solid material with high quality and high precision using their ultrafast and ultra-intense characteristics. [38] To create the flying microlaser, the researchers launched laser light into a water-filled hollow core fiber to optically trap the microparticle. Like the materials used to make traditional lasers, the microparticle incorporates a gain medium. [37]
Category: Artificial Intelligence

[13] viXra:1811.0224 [pdf] submitted on 2018-11-14 13:21:48

#2sat is in P

Authors: Elnaserledinellah Mahmood Abdelwahab
Comments: 85 Pages. Journal Academica Vol. 8(1), pp. 3-88, October 13 2018 - Theoretical Computer Science - ISSN 2161-3338 online edition www.journalacademica.org - Copyright © 2018 Journal Academica Foundation - With perpetual, non-exclusive license for viXra.org

This paper presents a new view of logical variables which helps solving efficiently the #P complete #2SAT problem. Variables are considered to be more than mere place holders of information, namely: Entities exhibiting repetitive patterns of logical truth values. Using this insight, a canonical order between literals and clauses of an arbitrary 2CNF Clause Set S is shown to be always achievable. It is also shown that resolving clauses respecting this order enables the construction of small Free Binary Decision Diagrams (FBDDs) for S with unique node counts in O(M4) or O(M6) in case a particular shown Lemma is relaxed, where M is number of clauses. Efficiently counting solutions generated in such FBDDs is then proven to be O(M9) or O(M13) by first running the proposed practical Pattern-Algorithm 2SAT-FGPRA and then the counting Algorithm Count2SATSolutions, so that the overall complexity of counting 2SAT solutions is in P. Relaxing the specific Lemma enables a uniform description of kSAT-Pattern-Algorithms in terms of (k-1)SAT- ones opening up yet another way for showing the main result. This second way demonstrates that avoiding certain types of copies of sub-trees in FBDDs constructed for arbitrary 1CNF and 2CNF Clause Sets, while uniformly expressing kSAT Pattern-Algorithms for any k>0, is a sufficient condition for an efficient solution of kSAT as well. Exponential lower bounds known for the construction of deterministic and non-deterministic FBDDs of some Boolean functions are seen to be inapplicable to the methods described here.
Category: Artificial Intelligence

[12] viXra:1811.0192 [pdf] submitted on 2018-11-12 10:00:53

Nanoscale Robotic Systems

Authors: George Rajna
Comments: 32 Pages.

A single-molecule DNA “navigator” that can successfully find its way out of a maze constructed on a 2D DNA origami platform might be used in artificial intelligence applications as well as in biomolecular assembly, sensing, DNA-driven computation and molecular information and storage. [20] The way DNA folds largely determines which genes are read out. John van Noort and his group have quantified how easily rolled-up DNA parts stack. [19]
Category: Artificial Intelligence

[11] viXra:1811.0191 [pdf] submitted on 2018-11-12 10:16:10

Refutation of Three Phase, All Reduce Algorithm Across Processing Units for Scalable Deep Learning

Authors: Colin James III
Comments: 2 Pages. © Copyright 2018 by Colin James III All rights reserved. Respond to the author by email at: info@ersatz-systems dot com.

A three-phase algorithm to do an all-reduce across all GPUs is not tautologous and refuted.
Category: Artificial Intelligence

[10] viXra:1811.0189 [pdf] submitted on 2018-11-12 10:43:34

Big Data Predict the Future

Authors: George Rajna
Comments: 75 Pages.

When building a predictive model, reliable results depend on two issues: the number of variables that come into play and the number of examples entered into the system. [46] A new computational approach that allows the identification of molecular alterations associated with prognosis and resistance to therapy of different types of cancer was developed by the research group led by Nuno Barbosa Morais at Instituto de Medicina Molecular João Lobo Antunes (iMM; Portugal). [45] A discovery by scientists at UC Riverside may open up new ways to control steroid hormone-mediated processes, including growth and development in insects, and sexual maturation, immunity, and cancer progression in humans. [44] New 3-D maps of water distribution during cellular membrane fusion are accelerating scientific understanding of cell development, which could lead to new treatments for diseases associated with cell fusion. [43] Thanks to the invention of a technique called super-resolution fluorescence microscopy, it has recently become possible to view even the smaller parts of a living cell. [42] A new instrument lets researchers use multiple laser beams and a microscope to trap and move cells and then analyze them in real-time with a sensitive analysis technique known as Raman spectroscopy. [41] All systems are go for launch in November of NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, which will use high-resolution laser ranging to study Earth's forests and topography from the International Space Station (ISS). [40] Scientists from the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI) in Berlin combined state-of-the-art experiments and numerical simulations to test a fundamental assumption underlying strong-field physics. [39] Femtosecond lasers are capable of processing any solid material with high quality and high precision using their ultrafast and ultra-intense characteristics. [38] To create the flying microlaser, the researchers launched laser light into a water-filled hollow core fiber to optically trap the microparticle. Like the materials used to make traditional lasers, the microparticle incorporates a gain medium. [37]
Category: Artificial Intelligence

[9] viXra:1811.0182 [pdf] submitted on 2018-11-11 10:01:02

Fast, Accurate AI Training

Authors: George Rajna
Comments: 45 Pages.

Researchers at Hong Kong Baptist University (HKBU) have partnered with a team from Tencent Machine Learning to create a new technique for training artificial intelligence (AI) machines faster than ever before while maintaining accuracy. [27]
Category: Artificial Intelligence

[8] viXra:1811.0150 [pdf] submitted on 2018-11-09 11:09:17

AI Window into Mental Health

Authors: George Rajna
Comments: 44 Pages.

In January 2017, IBM made the bold statement that within five years, health professionals could apply AI to better understand how words and speech paint a clear window into our mental health. [26] Dating apps are using artificial intelligence to suggest where to go on a first date, recommend what to say and even find a partner who looks like your favourite celebrity. [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] Granting human rights to a computer would degrade human dignity. [23] IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. [22] A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience. [21] The possibility of cognitive nuclear-spin processing came to Fisher in part through studies performed in the 1980s that reported a remarkable lithium isotope dependence on the behavior of mother rats. [20]
Category: Artificial Intelligence

[7] viXra:1811.0142 [pdf] submitted on 2018-11-08 07:27:34

AI Help Search for Love

Authors: George Rajna
Comments: 42 Pages.

Dating apps are using artificial intelligence to suggest where to go on a first date, recommend what to say and even find a partner who looks like your favourite celebrity. [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] Granting human rights to a computer would degrade human dignity. [23] IBM researchers are developing a new computer architecture, better equipped to handle increased data loads from artificial intelligence. [22] A computer built to mimic the brain's neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research, finds a new study published in the open-access journal Frontiers in Neuroscience. [21] The possibility of cognitive nuclear-spin processing came to Fisher in part through studies performed in the 1980s that reported a remarkable lithium isotope dependence on the behavior of mother rats. [20]
Category: Artificial Intelligence

[6] viXra:1811.0124 [pdf] submitted on 2018-11-07 07:51:16

Rethinking the Artificial Neural Networks: A Novel Approach

Authors: Usman Ahmad, Hong Song
Comments: 13 Pages.

In this paper, we proposed a novel approach to build the Artificial Neural Network (ANN). We addressed the fundamental questions, 1) what is the architecture of the ANN model? Should it really have a layered architecture? 2) What is a neuron: a processing unit or a memory cell? 3) How neurons must be interconnected and what should be the mechanism of weights assignment? 4) How to involve prior knowledge, bias, and generalization to extract the features? In this paper, we have given an abstract view of our approach for supervised learning with text data only and explain it through examples.
Category: Artificial Intelligence

[5] viXra:1811.0111 [pdf] submitted on 2018-11-07 18:42:20

Theoretical Model For Holistic Non Unique Clustering {Version 2}

Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.

In this research investigation, the author has presented a novel method for Holistic Non Unique Clustering.
Category: Artificial Intelligence

[4] viXra:1811.0093 [pdf] submitted on 2018-11-06 23:48:20

Theoretical Model For Holistic Non Unique Clustering

Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.

In this research investigation, the author has presented a novel method for Holistic Non Unique Clustering.
Category: Artificial Intelligence

[3] viXra:1811.0088 [pdf] submitted on 2018-11-05 07:40:57

Training Neuron Model

Authors: George Rajna
Comments: 50 Pages.

Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons. Similar to the neurons in a biological brain, these artificial neurons are the primary basic units that are used to perform neural computations and solve problems. [27] Researchers from the Moscow Institute of Physics and Technology (MIPT), Aalto University in Finland, and ETH Zurich have demonstrated a prototype device that uses quantum effects and machine learning to measure magnetic fields more accurately than its classical analogues. [26] Researchers at the University of California San Diego have developed an approach that uses machine learning to identify and predict which genes make infectious bacteria resistant to antibiotics. [25] AI combined with stem cells promises a faster approach to disease prevention. Andrew Masterson reports. 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] Artificial intelligence is astonishing in its potential. It will be more transformative than the PC and the Internet. Already it is poised to solve some of our biggest challenges. [22] In the search for extraterrestrial intelligence (SETI), we've often looked for signs of intelligence, technology and communication that are similar to our own. [21] Call it an aMAZE -ing development: A U.K.-based team of researchers has developed an artificial intelligence program that can learn to take shortcuts through a labyrinth to reach its goal. In the process, the program developed structures akin to those in the human brain. [20] And as will be presented today at the 25th annual meeting of the Cognitive Neuroscience networks to enhance their understanding of one of the most elusive intelligence systems, the human brain. [19] U.S. Army Research Laboratory scientists have discovered a way to leverage emerging brain-like computer architectures for an age-old number-theoretic problem known as integer factorization. [18]
Category: Artificial Intelligence

[2] viXra:1811.0085 [pdf] submitted on 2018-11-05 08:30:13

Event-Driven Models

Authors: Dimiter Dobrev
Comments: 26 Pages. Bulgarian language

In Reinforcement Learning we are looking for meaning in the stream of input-output information. If we do not find sense, this stream will be just a noise for us. To find meaning, we must learn to discover and recognize objects. What is an object? In this article we will show that the object is an event-driven model. These models are a generalization of action-driven models. In the Markov decision process we have an action-driven model and there the states are changing at each step. The advantage of event-driven models is that they are more stable and change their state only when certain events occur. These events can happen very rarely, so the current state of the event-driven model is much more predictable.
Category: Artificial Intelligence

[1] viXra:1811.0083 [pdf] submitted on 2018-11-05 09:41:02

Virtual Reality Test Your Nerves

Authors: George Rajna
Comments: 50 Pages.

Researchers at EPFL's Laboratory of Behavioral Genetics, headed by Professor Carmen Sandi, have set out to learn more with a new virtual reality program. [28] Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons. Similar to the neurons in a biological brain, these artificial neurons are the primary basic units that are used to perform neural computations and solve problems. [27] Researchers from the Moscow Institute of Physics and Technology (MIPT), Aalto University in Finland, and ETH Zurich have demonstrated a prototype device that uses quantum effects and machine learning to measure magnetic fields more accurately than its classical analogues. [26] Researchers at the University of California San Diego have developed an approach that uses machine learning to identify and predict which genes make infectious bacteria resistant to antibiotics. [25] AI combined with stem cells promises a faster approach to disease prevention. Andrew Masterson reports. According to product chief Trystan Upstill, the news app "uses the best of HYPERLINK "https://phys.org/tags/artificial+intelligence/" artificial intelligence to find the best of human intelligence—the great reporting done by journalists around the globe." [23] Artificial intelligence is astonishing in its potential. It will be more transformative than the PC and the Internet. Already it is poised to solve some of our biggest challenges. [22] In the search for extraterrestrial intelligence (SETI), we've often looked for signs of intelligence, technology and communication that are similar to our own. [21] Call it an aMAZE -ing development: A U.K.-based team of researchers has developed an artificial intelligence program that can learn to take shortcuts through a labyrinth to reach its goal. In the process, the program developed structures akin to those in the human brain. [20] And as will be presented today at the 25th annual meeting of the Cognitive Neuroscience networks to enhance their understanding of one of the most elusive intelligence systems, the human brain. [19]
Category: Artificial Intelligence