Artificial Intelligence

1904 Submissions

[29] viXra:1904.0581 [pdf] submitted on 2019-04-29 06:51:40

Hybrid Machine Learning Tool

Authors: George Rajna
Comments: 57 Pages.

Researchers have developed a hybrid predictive model to improve the identification of metastatic lymph nodes in individuals with head-and-neck cancer. [33] "Collaborations such as this between pathologists and data scientists are essential to advancing the field of oncology. Our expertise is disparate, which perhaps is exactly why it can be so powerfully complementary," Tafe says. [32] As part of a team of scientists from IBM and New York University, my colleagues and I are looking at new ways AI could be used to help ophthalmologists and optometrists further utilize eye images, and potentially help to speed the process for detecting glaucoma in images. [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]
Category: Artificial Intelligence

[28] viXra:1904.0502 [pdf] submitted on 2019-04-25 08:35:37

Machine Learning Ready to Shine

Authors: George Rajna
Comments: 51 Pages.

Machine learning and automation technologies are gearing up to transform the radiation-therapy workflow while freeing specialist clinical and technical staff to dedicate more time to patient care. [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

[27] viXra:1904.0488 [pdf] submitted on 2019-04-26 02:43:56

The Transferable Complex Belief Model

Authors: Fuyuan Xiao
Comments: 2 Pages.

We describe the transferable complex belief model, a model for representing quantified beliefs based on a newly defined complex belief function. The relation between the complex belief function and the probability function is derived when decisions must be made.
Category: Artificial Intelligence

[26] viXra:1904.0487 [pdf] submitted on 2019-04-26 03:56:19

Ai/ml/dl Based Python Software + Orlik Solomon[os] Algebra Python Program to Probe Electron Microscopy[em] Images Towards a Better Image Processing & Informatics Framework – a Novel Suggestion & Design Approach for Testing em Image Processing Frameworks I

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

AI/ML/DL Based Python Software + Orlik Solomon[OS] Algebra Python Program to probe Electron Microscopy[EM] Images towards a better Image Processing & Informatics Framework – A Novel Suggestion & Design Approach for Testing EM Image Processing Frameworks in the context of Hyper-plane Arrangement/s.
Category: Artificial Intelligence

[25] viXra:1904.0486 [pdf] submitted on 2019-04-26 04:59:43

Deep Learning Lung Cancer

Authors: George Rajna
Comments: 55 Pages.

“Collaborations such as this between pathologists and data scientists are essential to advancing the field of oncology. Our expertise is disparate, which perhaps is exactly why it can be so powerfully complementary,” Tafe says. [32] As part of a team of scientists from IBM and New York University, my colleagues and I are looking at new ways AI could be used to help ophthalmologists and optometrists further utilize eye images, and potentially help to speed the process for detecting glaucoma in images. [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]
Category: Artificial Intelligence

[24] viXra:1904.0476 [pdf] submitted on 2019-04-24 08:45:11

Inverse Reinforcement Training Conditioned on Brain Scan

Authors: Tofara Moyo
Comments: 3 Pages.

I outline a way for an agent to learn the dispositions of a particular individual through inverse reinforcement learning where the state space at time t includes an fMRI scan of the individual, to represent his brain state at that time. The fundamental assumption being that the information shown on an fMRI scan of an individual is conditioned on his thoughts and thought processes. The system models both long and short term memory as well any internal dynamics we may not be aware of that are in the human brain. The human expert will put on a suit for a set duration with sensors whose information will be used to train a policy network, while a generative model will be trained to produce the next fMRI scan image conditioned on the present one and the state of the environment. During operation the humanoid robots actions will be conditioned on this evolving fMRI and the environment it is in.
Category: Artificial Intelligence

[23] viXra:1904.0475 [pdf] submitted on 2019-04-24 08:48:25

Imprinting Memory and Experiences on Noise

Authors: Tofara Moyo
Comments: 2 Pages.

We outline a method where we imprint the memory and collective experience of an agent, or the previous words said and in what order and by whom in a chatbot. We are given a training corpus of conversations. Then a feed forward neural network is used to input a noise vector with the current word. At the start of the conversation we will input the zero vector with the dimensions of the noise vector that we will use. Together with the first word found in the conversation. This will output another noise vector and the 1 hot encoded next word. We will then feed the duo output once more into the network to predict the next word. During the learning process we will not alter the noise vectors predicted, but the error function will be parameterized by the word vector. This will marry the two progressions together. That of the noise and the structure of the conversation and which word ought to follow which in a sensible sentence. During operation we input the zero vector and the first word, then input the duo output from that back into the network to predict the next word to be said. When a live response is given to a chatbot the next word will not be predicted, but we shall still get another noise vector with which to feed back in with the next word, until an EOU (end of utterance) token vector is input alongside a noise vector. Then the system begins to predict the words to say as before
Category: Artificial Intelligence

[22] viXra:1904.0474 [pdf] submitted on 2019-04-24 08:50:57

Dynamic Cascade Neural Network

Authors: Tofara Moyo
Comments: 2 Pages.

We introduce a type of cascade correlation network to predict the next word in a sentence, where the hidden layer is connected in such a way as to represent the topology of the conversation up to that point. There will be one input neuron that is fed the current word, and one output neuron that will output the predicted next word in the sentence. During training, we will be given a set of conversations to train on. That means that we shall know the input output pairs to train with, and the topology of the previous parts of the conversation correlating with each pair. We shall build the hidden layer in such a way that it is isomorphic to the previous parts of the conversation at the point here that input output pair coincide. During operation we will build the hidden layer of the network at each input word and in such a way as to be isomorphic to the previous parts of the conversation up to that point. Training will make the probability of the output n+1 word to be conditionally dependent on the previous words in that order and not just the nth word, conditional on the training conversations giving the chat-bot the ability to talk consistently on topics and themes found within the training conversations.
Category: Artificial Intelligence

[21] viXra:1904.0473 [pdf] submitted on 2019-04-24 09:25:57

People Makes AI More Powerful

Authors: George Rajna
Comments: 46 Pages.

But as the desire to use AI for more scenarios has grown, Microsoft scientists and product developers have pioneered a complementary approach called machine teaching. [26] A commercial artificial intelligence (AI) system matched the accuracy of over 28,000 interpretations of breast cancer screening mammograms by 101 radiologists. [25] Social, economic, environmental and health inequalities within cities can be detected using street imagery. [24]
Category: Artificial Intelligence

[20] viXra:1904.0439 [pdf] submitted on 2019-04-22 08:44:10

AI Versus 101 Radiologists

Authors: George Rajna
Comments: 41 Pages.

A commercial artificial intelligence (AI) system matched the accuracy of over 28,000 interpretations of breast cancer screening mammograms by 101 radiologists. [25] Social, economic, environmental and health inequalities within cities can be detected using street imagery. [24] Citizen science is a boon for researchers, providing reams of data about everything from animal species to distant galaxies. [23] In early 2018, with support from IBM Corporate Citizenship and the Danish Ministry for Foreign Affairs, IBM and the Danish Refugee Council (DRC) embarked on a partnership aimed squarely at the need to better understand migration drivers and evidence-based policy guidance for a range of stakeholders. [22]
Category: Artificial Intelligence

[19] viXra:1904.0429 [pdf] submitted on 2019-04-22 20:38:36

MidcurveNN: Encoder-Decoder Neural Network for Computing Midcurve of a Thin Polygon

Authors: Yogesh H. Kulkarni
Comments: 3 Pages.

Various applications need lower dimensional representation of shapes. Midcurve is one-dimensional(1D) representation of a two-dimensional(2D) planar shape. It is used in applications such as animation, shape matching, retrieval, finite element analysis, etc. Methods available to compute midcurves vary based on the type of the input shape (images, sketches, etc.) and processing (thinning, Medial Axis Transform (MAT), Chordal Axis Transform (CAT), Straight Skeletons, etc.). This paper talks about a novel method called MidcurveNN which uses Encoder-Decoder neural network for computing midcurve from images of 2D thin polygons in supervised learning manner. This dimension reduction transformation from input 2D thin polygon image to output 1D midcurve image is learnt by the neural network, which can then be used to compute midcurve of an unseen 2D thin polygonal shape.
Category: Artificial Intelligence

[18] viXra:1904.0403 [pdf] submitted on 2019-04-20 09:11:52

Deep Learning Image Analysis

Authors: George Rajna
Comments: 40 Pages.

Social, economic, environmental and health inequalities within cities can be detected using street imagery. [24] Citizen science is a boon for researchers, providing reams of data about everything from animal species to distant galaxies. [23] In early 2018, with support from IBM Corporate Citizenship and the Danish Ministry for Foreign Affairs, IBM and the Danish Refugee Council (DRC) embarked on a partnership aimed squarely at the need to better understand migration drivers and evidence-based policy guidance for a range of stakeholders. [22]
Category: Artificial Intelligence

[17] viXra:1904.0402 [pdf] submitted on 2019-04-20 09:30:09

Helpfulness of Machine Explanations

Authors: George Rajna
Comments: 43 Pages.

To address this gap in the existing literature, a team of researchers at SRI International has created a human-AI image guessing game inspired by the popular game 20 Questions (20Q), which can be used to evaluate the helpfulness of machine explanations. [25] Social, economic, environmental and health inequalities within cities can be detected using street imagery. [24] Citizen science is a boon for researchers, providing reams of data about everything from animal species to distant galaxies. [23]
Category: Artificial Intelligence

[16] viXra:1904.0397 [pdf] submitted on 2019-04-20 11:02:57

Neural Network Read Scientific Papers

Authors: George Rajna
Comments: 46 Pages.

Now, a team of scientists at MIT and elsewhere has developed a neural network, a form of artificial intelligence (AI), that can do much the same thing, at least to a limited extent: It can read scientific papersand render a plain-English summary in a sentence or two. [26] To address this gap in the existing literature, a team of researchers at SRI International has created a human-AI image guessing game inspired by the popular game 20 Questions (20Q), which can be used to evaluate the helpfulness of machine explanations. [25]
Category: Artificial Intelligence

[15] viXra:1904.0396 [pdf] submitted on 2019-04-20 11:32:24

Robots with Communication Skills

Authors: George Rajna
Comments: 49 Pages.

Researchers at the Okinawa Institute of Science and Technology have recently proposed a neurorobotics approach that could aid the development of robots with advanced communication capabilities. [27] Now, a team of scientists at MIT and elsewhere has developed a neural network, a form of artificial intelligence (AI), that can do much the same thing, at least to a limited extent: It can read scientific papersand render a plain-English summary in a sentence or two. [26]
Category: Artificial Intelligence

[14] viXra:1904.0336 [pdf] submitted on 2019-04-18 01:21:20

AI for Fusion Energy

Authors: George Rajna
Comments: 56 Pages.

Artificial intelligence (AI), a branch of computer science that is transforming scientific inquiry and industry, could now speed the development of safe, clean and virtually limitless fusion energy for generating electricity. [32] 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" HYPERLINK "https://phys.org/tags/intelligence/" 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]
Category: Artificial Intelligence

[13] viXra:1904.0335 [pdf] submitted on 2019-04-18 01:40:01

Machine Learning Microcapsules

Authors: George Rajna
Comments: 58 Pages.

Micro-encapsulated CO2 sorbents (MECS)-tiny, reusable capsules full of a sodium carbonate solution that can absorb carbon dioxide from the air-are a promising technology for capturing carbon from the atmosphere. [33] Artificial intelligence (AI), a branch of computer science that is transforming scientific inquiry and industry, could now speed the development of safe, clean and virtually limitless fusion energy for generating electricity. [32] 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" HYPERLINK "https://phys.org/tags/intelligence/" 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]
Category: Artificial Intelligence

[12] viXra:1904.0239 [pdf] submitted on 2019-04-12 11:49:25

Human Brain Cloud Interface

Authors: George Rajna
Comments: 46 Pages.

Imagine a future technology that would provide instant access to the world's knowledge and artificial intelligence, simply by thinking about a specific topic or question. [27] Just like living ecosystems, web services form a complex artificial system consisting of tags and the user-generated media associated with them, such as photographs, movies and web pages. [26]
Category: Artificial Intelligence

[11] viXra:1904.0230 [pdf] submitted on 2019-04-13 04:43:26

Artificial Intelligence Singles Out Neurons

Authors: George Rajna
Comments: 47 Pages.

Biomedical engineers at Duke University have developed an automated process that can trace the shapes of active neurons as accurately as human researchers can, but in a fraction of the time. [28] Imagine a future technology that would provide instant access to the world's knowledge and artificial intelligence, simply by thinking about a specific topic or question. [27] Just like living ecosystems, web services form a complex artificial system consisting of tags and the user-generated media associated with them, such as photographs, movies and web pages. [26]
Category: Artificial Intelligence

[10] viXra:1904.0220 [pdf] submitted on 2019-04-11 17:45:53

Ethics in Ai: the force of Good

Authors: James Sandy
Comments: 2 Pages. This just the abstract of the work

Artificial Intelligence has both its good side and its wrong side. and in a country like nigeria when migrants get to know the value and use of it, it may be used to affect Elections, Decisions of public and all manner of evil it can also be used to create solutions to petinent problems. so as to this there should be a code of conduct, a guideline, a moda operandi which should be instill in all Researchers and Developers in this field. Just like the medical practitioners have a pledge which guides its members so should they be in the field of Artificial Intelligence. I strongly advise that educating the Developers and researchers in this field about the Good conducts and its after effects and also the Bad conduct and its after effect will really prevent ​ Abuse. Ai is a very powerful force which i believe should be used for the sole purpose of good, for human development and making the world a better place not to create sophisticated weapons or robots which will be harmful to humans. The general of it all is not to use AI in a way that it will be a treat to human life but for
Category: Artificial Intelligence

[9] viXra:1904.0212 [pdf] submitted on 2019-04-12 04:00:41

AI Agent Explain its Action

Authors: George Rajna
Comments: 41 Pages.

Georgia Institute of Technology researchers, in collaboration with Cornell University and University of Kentucky, have developed an artificially intelligent (AI) agent that can automatically generate natural language explanations in real-time to convey the motivations behind its actions. [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

[8] viXra:1904.0210 [pdf] submitted on 2019-04-12 05:14:30

Open-Ended Web Services

Authors: George Rajna
Comments: 44 Pages.

Just like living ecosystems, web services form a complex artificial system consisting of tags and the user-generated media associated with them, such as photographs, movies and web pages. [26] Georgia Institute of Technology researchers, in collaboration with Cornell University and University of Kentucky, have developed an artificially intelligent (AI) agent that can automatically generate natural language explanations in real-time to convey the motivations behind its actions. [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

[7] viXra:1904.0202 [pdf] submitted on 2019-04-10 10:33:25

AI to Understand Collective Behavior

Authors: George Rajna
Comments: 32 Pages.

Looking ahead, Thomas Müller believes that future research in this area will benefit from large data sets on animals, such as schools of fish with their dynamic behavioural patterns. [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

[6] viXra:1904.0200 [pdf] submitted on 2019-04-10 11:48:45

IBM AI Work in Human Resources

Authors: George Rajna
Comments: 35 Pages.

IBM CEO Ginni Rometty touted IBM's successful use of AI for leading the workforce at CNBC's @ Work Talent + HR Summit. She sat down with Jon Fortt and delivered some impressive numbers on how the IBM's AI tool helped the company. [21] Looking ahead, Thomas Müller believes that future research in this area will benefit from large data sets on animals, such as schools of fish with their dynamic behavioural patterns. [20]
Category: Artificial Intelligence

[5] viXra:1904.0172 [pdf] submitted on 2019-04-08 09:44:41

Hierarchical RNN-Based Model

Authors: George Rajna
Comments: 32 Pages.

Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. [20] Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). [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] Researchers have fused living and non-living cells for the first time in a way that allows them to work together, paving the way for new applications. [12] UZH researchers have discovered a previously unknown way in which proteins interact with one another and cells organize themselves. [11] Dr Martin Sweatman from the University of Edinburgh's School of Engineering has discovered a simple physical principle that might explain how life started on Earth. [10] Nearly 75 years ago, Nobel Prize-winning physicist Erwin Schrödinger wondered if the mysterious world of quantum mechanics played a role in biology.
Category: Artificial Intelligence

[4] viXra:1904.0119 [pdf] submitted on 2019-04-05 08:13:02

Machine Learning Molecular Water

Authors: George Rajna
Comments: 39 Pages.

A new study from the U.S. Department of Energy's (DOE) Argonne National Laboratory has achieved a breakthrough in the effort to mathematically represent how water behaves. [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

[3] viXra:1904.0072 [pdf] submitted on 2019-04-03 08:42:09

AI Treatment of Brain Tumors

Authors: George Rajna
Comments: 45 Pages.

A team from Heidelberg University Hospital and the German Cancer Research Centre has developed a new method for the automated image analysis of brain tumors. [25] And if that isn't surprising enough, try this one: in many cases, doctors have no idea what side effects might arise from adding another drug to a patient's personal pharmacy. [24] Intel's Gadi Singer believes his most important challenge is his latest: using artificial intelligence (AI) to reshape scientific exploration. [23]
Category: Artificial Intelligence

[2] viXra:1904.0071 [pdf] submitted on 2019-04-03 09:23:23

Machines Reason About They See

Authors: George Rajna
Comments: 47 Pages.

To give computers the ability to reason more like us, artificial intelligence (AI) researchers are returning to abstract, or symbolic, programming. [26] A team from Heidelberg University Hospital and the German Cancer Research Centre has developed a new method for the automated image analysis of brain tumors. [25] And if that isn't surprising enough, try this one: in many cases, doctors have no idea what side effects might arise from adding another drug to a patient's personal pharmacy. [24]
Category: Artificial Intelligence

[1] viXra:1904.0021 [pdf] submitted on 2019-04-01 08:45:02

An Attempt to Create Self-Conscious Artificial Intelligence

Authors: Ui-yeong Jeong
Comments: 23 pages, 7 figures, language: Korean (Important part of core code 1 is also written in English.)

Self-conscious Artificial Intelligence refers to artificial intelligence that has a 'finished personality', that actively thinks and acts like a person. In this paper, I describe the whole structure and four core codes to create the self-consciousness by referring to the collective unconsciousness, concept about the reincarnation of the Buddhism, the philosophy of the soul that I think. The entire structure is hierarchical and the four core codes are involved in all tiers. The purpose of this paper is not the result of learning. The purpose of this study is to see changes in the process of learning as experiences and to derive an artificial singularity through accumulation of the experiences. Suggesting the possibility of ultimately creating self-consciousness through initial design based on techniques such as intentionally using "Vanishing Gradient".
Category: Artificial Intelligence