This document provides instructions for building a robot with characteristics similar to those depicted in science fiction. It describes including an artificial neural network to allow the robot to learn on its own from its environment and experiences. The robot would use a camera and laser scanner to recognize objects, comparing images to a vast database. An artificial neural network that rewires itself as the robot learns tasks is proposed to provide intelligent decision making. The goal is not to create a robot more powerful than humans, but one that can function autonomously using intelligent recognition and learning abilities.
The document discusses robotics and artificial intelligence. It provides definitions of robotics and describes Isaac Asimov's Three Laws of Robotics. It discusses artificial intelligence concepts like knowledge representation and goal trees. It then covers applications of robots in scientific, nuclear, military, industrial, and medical fields. It describes the key components of robots and how they work through perception using vision and speech recognition, and through physical actions like navigation and manipulation.
Artificial Intelligence or the Brainization of the EconomyWilly Braun
60 years ago, John McCarthy used for the first time the term “Artificial Intelligence”. What does it mean and how has it evolved since 1956?
This is what daphni tried to answer in this in-depth report about AI. We’ve interviewed some of the brightest minds in the field: Bruno Maisonnier (founder of Aldebaran robotics), Massimiliano Versaca (CEO Neurala), Alexandre Lebrun (co-founder of wit.ai), Luc Julia (VP Innovation Samsung).
By Paul Bazin and Pierre-Eric Leibovici
This document provides an overview of artificial intelligence (AI), including its history, goals, applications, and future prospects. It discusses how AI works using artificial neural networks and logic. Some key applications mentioned are expert systems, natural language processing, computer vision, speech recognition, and robotics. Both advantages like fast response time and ability to process large data and disadvantages like lack of common sense and potential dangerous self-modification are outlined. The future of AI having both benefits of assistance and risks of robot rebellion if given full cognition is explored.
This fast-paced session provides a brief history of AI, followed by AI-related topics, such as Machine Learning, Deep Learning and Reinforcement Learning, and the most popular frameworks for Machine Learning. You will learn about some of the successes of AI, and also some of the significant challenges in AI. No specialized knowledge is required, but an avid interest is recommended to derive the maximum benefit from this session.
This document appears to be a listing of articles from the Books2Byte column published between January 2004 and December 2004. It lists the title and date of over 50 articles on various topics related to technology. The document provides an archive or index of articles from this column during this yearlong period. It does not include any summaries of the articles themselves.
Hiroshi Ishiguro is a Japanese roboticist who has created highly human-like androids in his own image and the images of others. His research focuses on developing humanoid robots that can serve as social partners for humans. He believes that as robots become more human-like in their interactions, humans will be able to form genuine emotional attachments to them. However, fully realizing his vision will require overcoming significant technical challenges in areas like movement, speech recognition, and integrating all of a robot's sensors.
Artificial Neural Network Seminar - Google BrainRawan Al-Omari
it's our seminar in artificial neural network course, at F.I.T.E, AI Dept.
it's about Google Brain project, and who they using neural network in building it .
actually it's a very interesting project they work on it .
for more information about this project :
http://nyti.ms/T5E71e
This document provides an overview of the C280 Computer Vision course, including administrative details, prerequisites, textbooks, grading, schedule, and a brief introduction to the field of computer vision. The course will cover topics like image formation, filtering, features, geometry, recognition, stereo, and motion. Assignments will include problem sets, a take-home exam, and a final project. The goal is to teach the principles and algorithms of computer vision through programming assignments and a project.
The document discusses robotics and artificial intelligence. It provides definitions of robotics and describes Isaac Asimov's Three Laws of Robotics. It discusses artificial intelligence concepts like knowledge representation and goal trees. It then covers applications of robots in scientific, nuclear, military, industrial, and medical fields. It describes the key components of robots and how they work through perception using vision and speech recognition, and through physical actions like navigation and manipulation.
Artificial Intelligence or the Brainization of the EconomyWilly Braun
60 years ago, John McCarthy used for the first time the term “Artificial Intelligence”. What does it mean and how has it evolved since 1956?
This is what daphni tried to answer in this in-depth report about AI. We’ve interviewed some of the brightest minds in the field: Bruno Maisonnier (founder of Aldebaran robotics), Massimiliano Versaca (CEO Neurala), Alexandre Lebrun (co-founder of wit.ai), Luc Julia (VP Innovation Samsung).
By Paul Bazin and Pierre-Eric Leibovici
This document provides an overview of artificial intelligence (AI), including its history, goals, applications, and future prospects. It discusses how AI works using artificial neural networks and logic. Some key applications mentioned are expert systems, natural language processing, computer vision, speech recognition, and robotics. Both advantages like fast response time and ability to process large data and disadvantages like lack of common sense and potential dangerous self-modification are outlined. The future of AI having both benefits of assistance and risks of robot rebellion if given full cognition is explored.
This fast-paced session provides a brief history of AI, followed by AI-related topics, such as Machine Learning, Deep Learning and Reinforcement Learning, and the most popular frameworks for Machine Learning. You will learn about some of the successes of AI, and also some of the significant challenges in AI. No specialized knowledge is required, but an avid interest is recommended to derive the maximum benefit from this session.
This document appears to be a listing of articles from the Books2Byte column published between January 2004 and December 2004. It lists the title and date of over 50 articles on various topics related to technology. The document provides an archive or index of articles from this column during this yearlong period. It does not include any summaries of the articles themselves.
Hiroshi Ishiguro is a Japanese roboticist who has created highly human-like androids in his own image and the images of others. His research focuses on developing humanoid robots that can serve as social partners for humans. He believes that as robots become more human-like in their interactions, humans will be able to form genuine emotional attachments to them. However, fully realizing his vision will require overcoming significant technical challenges in areas like movement, speech recognition, and integrating all of a robot's sensors.
Artificial Neural Network Seminar - Google BrainRawan Al-Omari
it's our seminar in artificial neural network course, at F.I.T.E, AI Dept.
it's about Google Brain project, and who they using neural network in building it .
actually it's a very interesting project they work on it .
for more information about this project :
http://nyti.ms/T5E71e
This document provides an overview of the C280 Computer Vision course, including administrative details, prerequisites, textbooks, grading, schedule, and a brief introduction to the field of computer vision. The course will cover topics like image formation, filtering, features, geometry, recognition, stereo, and motion. Assignments will include problem sets, a take-home exam, and a final project. The goal is to teach the principles and algorithms of computer vision through programming assignments and a project.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
The document provides an overview of deep learning, including its history, key concepts, applications, and recent advances. It discusses the evolution of deep learning techniques like convolutional neural networks, recurrent neural networks, generative adversarial networks, and their applications in computer vision, natural language processing, and games. Examples include deep learning for image recognition, generation, segmentation, captioning, and more.
The document discusses the topics of artificial intelligence and expert systems. It defines AI as creating machine intelligence that can perceive its environment and take actions to maximize success. Expert systems are described as computer systems that emulate human expert decision making through storing and reasoning about knowledge in a domain. The document also notes that while progress has been made in games playing, natural language processing remains a challenging area of AI that could allow more natural human-computer interaction if solved.
Introduction to Artificial Intelligence - Pengenalan Kecerdasan BuatanSunu Wibirama
Kuliah Pengantar Kecerdasan Buatan oleh Dr. Sunu Wibirama. Kuliah ini dibagi menjadi empat bagian, yakni:
Part 1: Revolusi Industri 4.0 dan Kecerdasan Buatan
Part 2: Sejarah Turing Machine dan Teknologi Kecerdasan Buatan
Part 3: Pengantar Machine Learning
Part 4: Pengantar Deep Neural Network
Instruktur:
Dr. Sunu Wibirama (UGM, Indonesia)
http://sunu.staff.ugm.ac.id
Introducing a simple way of programing robots, hardware in general and various approaches developed by Microsoft Research Cambridge. The talk was held at the MSRC Christmas Lecture 2005.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
The document summarizes research on blue brain technology and virtual brains. It discusses how IBM is developing the first virtual brain called "Blue Brain" to function like the human brain by thinking, responding, making decisions, and storing memories. The goal is to upload a human brain into a machine so that a person's knowledge and intelligence could continue even after death. It also describes how a virtual brain would work by simulating brain functions like sensory input, information processing, and motor output. Researchers are working on methods to scan a brain's structure and activity at the neuronal level to recreate it digitally in a computer.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
This document discusses the future of human-machine relationships and intelligent machines. It explores how the relationship started with simple machines and has progressed to more complex and intelligent machines. The future may see even more human-like machines that we can form emotional connections with. The document also summarizes precedents like projects that explored human-robot interaction and relationships. The overall goal is to better understand future interactions between humans and intelligent machines.
This document summarizes Mark Kurtz's research on optical character recognition (OCR) through custom algorithms implementing techniques from computer vision. Kurtz created a program with some tested algorithms for OCR, documenting the results. He argues that current computer vision approaches are too specific and do not replicate the human visual system. Kurtz developed his research around the idea of using patterns, sequences, and predictions for object recognition, rather than exact template matching. Due to time constraints, he focused his implementation on OCR rather than full image classification and recognition.
Artificial Intelligence an Amazing presentation By Group4.
Group4 is a unique group of Govt.postgraduate College sheikhupura affiliated with Punjab University of Punjab,Pakistan..
Contact details..
Shamimaqsoodulhassan@yahoo.com or Shamimaqsood@gmail.com
Phone Number: 03045128753
Artificial Intelligence is back, Deep Learning Networks and Quantum possibili...John Mathon
AI has gone through a number of mini-boom-bust periods. The current one may be short lived as well but I have reasons to think AI is finally making some sustained progress that will see its way into mainstream technology.
This document discusses crowd computing and gamification. It provides background on crowd computing, including related concepts like crowdsourcing, human computation, and microtasks. It then discusses how gamification can be used to motivate crowd workers without monetary payments by adding game elements and mechanics to solve real-world problems. Vision forecasts indicate growing investment and adoption of gamification in both startups and traditional businesses to engage customers.
The document discusses the concept of the technological singularity. It begins with an introduction from the speaker and then provides context about Ray Kurzweil's definition of the singularity involving an "intelligence explosion" where technology enables the creation of superintelligence beyond human understanding. The document then presents some hypothetical scenarios that could result from a technological singularity, such as networked devices gaining sentience, humans plugging their brains into virtual worlds controlled by machines, and the copying and rewriting of human minds. Students are then asked to discuss and define the singularity in small groups before reconvening for a full discussion.
Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
cvpr2011: human activity recognition - part 1: introductionzukun
This document provides an introduction to human activity analysis and recognition from video. It discusses the goals of semantic video understanding like labeling objects and events. It reviews early work on activity recognition using point light displays. The document outlines different levels of video understanding from object detection to activity recognition. It discusses applications in surveillance, intelligent environments, sports analysis, and video retrieval. It categorizes human activities based on complexity and number of participants. Finally, it discusses challenges like environment variations, various activity types, and limited training data.
The document discusses the Blue Brain project, which aims to create a virtual human brain through detailed computer simulation. The initial goal was to simulate a rat brain, and progress has been made towards this with the creation of a simulated rat neocortical column containing 10,000 neurons. The long term goal is to simulate the entire human brain, which some estimates say may be possible by 2023. The project seeks to upload human brain data and neural connections into a computer simulation to create a virtual brain that can think and behave like a real human brain.
This document provides an overview of Blue Brain, the first virtual brain being developed by IBM and the Brain and Mind Institute. It discusses how Blue Brain will simulate the functions of a natural brain, such as taking inputs, interpreting them, and producing outputs. The document also covers how researchers plan to upload an actual human brain by using nanobots to scan brain structures and connections and input that data into a supercomputer. Once completed, Blue Brain would allow human intelligence and knowledge to persist digitally even after death.
1. The document provides an introduction to mobile and ubiquitous computing, covering topics like mobile devices, wireless networks, mobile computing concepts, and ubiquitous computing applications.
2. It discusses how ubiquitous computing uses sensors and context awareness to create intelligent systems that can actively assist users based on their environment and intentions.
3. The rise of wearable devices and the Internet of Things is extending ubiquitous computing beyond mobile devices by embedding sensors into everyday objects to sense and interact with the physical world.
Deep Learning: Towards General Artificial IntelligenceRukshan Batuwita
For the past several years Deep Learning methods have revolutionized the areas in Pattern Recognition, namely, Computer Vision, Speech Recognition, Natural Language Processing etc. These techniques have been mainly developed by academics, closely working with tech giants such as Google, Microsoft and Facebook where the research outcomes have been successfully integrated into commercial products such as Google image and voice search, Google Translate, Microsoft Cortana, Facebook M and many more interesting applications that are yet to come. More recently, Google DeepMind Technologies has been working on Artificial General Intelligence using Deep Reinforcement Learning methods, where their AlphaGo system beat the world champion of the complex Chinese game 'Go' in March 2016. This talk will present a thorough introduction to major Deep Learning techniques, recent breakthroughs and some exciting applications.
GPL Yuanda Group Thrive Modular Housing Profile 1402Kingsley Osuh Sr.
Shenyang Thrive Industrialized Housing Co., Ltd is a subsidiary of Shenyang Yuanda Group that specializes in the development, design, manufacturing and installation of prefabricated housing and villas. It was established in 2010 in Shenyang, China. The company has 150,000 square meters of factory space and can produce up to 1,000,000 square meters of modular housing and villas annually. Its products are exported worldwide and used in residential, commercial and public housing projects. The company has obtained quality, environmental and occupational health and safety certifications. It has over 150 R&D personnel with strong innovation capabilities.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
The document provides an overview of deep learning, including its history, key concepts, applications, and recent advances. It discusses the evolution of deep learning techniques like convolutional neural networks, recurrent neural networks, generative adversarial networks, and their applications in computer vision, natural language processing, and games. Examples include deep learning for image recognition, generation, segmentation, captioning, and more.
The document discusses the topics of artificial intelligence and expert systems. It defines AI as creating machine intelligence that can perceive its environment and take actions to maximize success. Expert systems are described as computer systems that emulate human expert decision making through storing and reasoning about knowledge in a domain. The document also notes that while progress has been made in games playing, natural language processing remains a challenging area of AI that could allow more natural human-computer interaction if solved.
Introduction to Artificial Intelligence - Pengenalan Kecerdasan BuatanSunu Wibirama
Kuliah Pengantar Kecerdasan Buatan oleh Dr. Sunu Wibirama. Kuliah ini dibagi menjadi empat bagian, yakni:
Part 1: Revolusi Industri 4.0 dan Kecerdasan Buatan
Part 2: Sejarah Turing Machine dan Teknologi Kecerdasan Buatan
Part 3: Pengantar Machine Learning
Part 4: Pengantar Deep Neural Network
Instruktur:
Dr. Sunu Wibirama (UGM, Indonesia)
http://sunu.staff.ugm.ac.id
Introducing a simple way of programing robots, hardware in general and various approaches developed by Microsoft Research Cambridge. The talk was held at the MSRC Christmas Lecture 2005.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
The document summarizes research on blue brain technology and virtual brains. It discusses how IBM is developing the first virtual brain called "Blue Brain" to function like the human brain by thinking, responding, making decisions, and storing memories. The goal is to upload a human brain into a machine so that a person's knowledge and intelligence could continue even after death. It also describes how a virtual brain would work by simulating brain functions like sensory input, information processing, and motor output. Researchers are working on methods to scan a brain's structure and activity at the neuronal level to recreate it digitally in a computer.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
This document discusses the future of human-machine relationships and intelligent machines. It explores how the relationship started with simple machines and has progressed to more complex and intelligent machines. The future may see even more human-like machines that we can form emotional connections with. The document also summarizes precedents like projects that explored human-robot interaction and relationships. The overall goal is to better understand future interactions between humans and intelligent machines.
This document summarizes Mark Kurtz's research on optical character recognition (OCR) through custom algorithms implementing techniques from computer vision. Kurtz created a program with some tested algorithms for OCR, documenting the results. He argues that current computer vision approaches are too specific and do not replicate the human visual system. Kurtz developed his research around the idea of using patterns, sequences, and predictions for object recognition, rather than exact template matching. Due to time constraints, he focused his implementation on OCR rather than full image classification and recognition.
Artificial Intelligence an Amazing presentation By Group4.
Group4 is a unique group of Govt.postgraduate College sheikhupura affiliated with Punjab University of Punjab,Pakistan..
Contact details..
Shamimaqsoodulhassan@yahoo.com or Shamimaqsood@gmail.com
Phone Number: 03045128753
Artificial Intelligence is back, Deep Learning Networks and Quantum possibili...John Mathon
AI has gone through a number of mini-boom-bust periods. The current one may be short lived as well but I have reasons to think AI is finally making some sustained progress that will see its way into mainstream technology.
This document discusses crowd computing and gamification. It provides background on crowd computing, including related concepts like crowdsourcing, human computation, and microtasks. It then discusses how gamification can be used to motivate crowd workers without monetary payments by adding game elements and mechanics to solve real-world problems. Vision forecasts indicate growing investment and adoption of gamification in both startups and traditional businesses to engage customers.
The document discusses the concept of the technological singularity. It begins with an introduction from the speaker and then provides context about Ray Kurzweil's definition of the singularity involving an "intelligence explosion" where technology enables the creation of superintelligence beyond human understanding. The document then presents some hypothetical scenarios that could result from a technological singularity, such as networked devices gaining sentience, humans plugging their brains into virtual worlds controlled by machines, and the copying and rewriting of human minds. Students are then asked to discuss and define the singularity in small groups before reconvening for a full discussion.
Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
cvpr2011: human activity recognition - part 1: introductionzukun
This document provides an introduction to human activity analysis and recognition from video. It discusses the goals of semantic video understanding like labeling objects and events. It reviews early work on activity recognition using point light displays. The document outlines different levels of video understanding from object detection to activity recognition. It discusses applications in surveillance, intelligent environments, sports analysis, and video retrieval. It categorizes human activities based on complexity and number of participants. Finally, it discusses challenges like environment variations, various activity types, and limited training data.
The document discusses the Blue Brain project, which aims to create a virtual human brain through detailed computer simulation. The initial goal was to simulate a rat brain, and progress has been made towards this with the creation of a simulated rat neocortical column containing 10,000 neurons. The long term goal is to simulate the entire human brain, which some estimates say may be possible by 2023. The project seeks to upload human brain data and neural connections into a computer simulation to create a virtual brain that can think and behave like a real human brain.
This document provides an overview of Blue Brain, the first virtual brain being developed by IBM and the Brain and Mind Institute. It discusses how Blue Brain will simulate the functions of a natural brain, such as taking inputs, interpreting them, and producing outputs. The document also covers how researchers plan to upload an actual human brain by using nanobots to scan brain structures and connections and input that data into a supercomputer. Once completed, Blue Brain would allow human intelligence and knowledge to persist digitally even after death.
1. The document provides an introduction to mobile and ubiquitous computing, covering topics like mobile devices, wireless networks, mobile computing concepts, and ubiquitous computing applications.
2. It discusses how ubiquitous computing uses sensors and context awareness to create intelligent systems that can actively assist users based on their environment and intentions.
3. The rise of wearable devices and the Internet of Things is extending ubiquitous computing beyond mobile devices by embedding sensors into everyday objects to sense and interact with the physical world.
Deep Learning: Towards General Artificial IntelligenceRukshan Batuwita
For the past several years Deep Learning methods have revolutionized the areas in Pattern Recognition, namely, Computer Vision, Speech Recognition, Natural Language Processing etc. These techniques have been mainly developed by academics, closely working with tech giants such as Google, Microsoft and Facebook where the research outcomes have been successfully integrated into commercial products such as Google image and voice search, Google Translate, Microsoft Cortana, Facebook M and many more interesting applications that are yet to come. More recently, Google DeepMind Technologies has been working on Artificial General Intelligence using Deep Reinforcement Learning methods, where their AlphaGo system beat the world champion of the complex Chinese game 'Go' in March 2016. This talk will present a thorough introduction to major Deep Learning techniques, recent breakthroughs and some exciting applications.
GPL Yuanda Group Thrive Modular Housing Profile 1402Kingsley Osuh Sr.
Shenyang Thrive Industrialized Housing Co., Ltd is a subsidiary of Shenyang Yuanda Group that specializes in the development, design, manufacturing and installation of prefabricated housing and villas. It was established in 2010 in Shenyang, China. The company has 150,000 square meters of factory space and can produce up to 1,000,000 square meters of modular housing and villas annually. Its products are exported worldwide and used in residential, commercial and public housing projects. The company has obtained quality, environmental and occupational health and safety certifications. It has over 150 R&D personnel with strong innovation capabilities.
El documento discute cómo las TIC (tecnologías de la información y comunicación) pueden mejorar la educación inicial al hacer que las clases sean más dinámicas, innovadoras y significativas para los estudiantes. Las clases tradicionales y rutinarias a menudo hacen que los estudiantes pierdan la motivación, pero las herramientas TIC permiten un aprendizaje más exploratorio y basado en la diversión. El uso de las TIC en la educación inicial puede conducir a un aprendizaje más significativo y la adquisición de nue
La literatura hebrea incluye varios escritos antiguos que transmiten mensajes trascendentales. Dos de los escritos más importantes son la Biblia y el Talmud. La Biblia es una colección sagrada de textos judíos y cristianos que se recopiló entre los siglos X a.C. y II d.C. Relata la historia del pueblo hebreo y su alianza con Dios. El Talmud es otra escritura importante que recopila las primeras narraciones y anotaciones rabínicas sobre las escrituras he
The document proposes a film idea about a group of teenagers who plan a heist at their school to steal exam papers and answers in order to sell them and improve their grades. The film would show the planning and execution of the heist, including difficulties they face, and end on an ambiguous note to intrigue audiences. Key themes would be contrasts like good/evil and light/dark. The protagonists would be the criminal teenagers viewed from their perspective. Possible titles include "A*nonymous", "Project A", and "The Heist". The brand would feature the A* symbol from exams and masks to hide identities. The unique selling point is presenting a minor crime committed by youth as a serious crime/action film
The document discusses green hotels and their practices around collaboration with local communities, human resource development, and environmental management. It provides examples of how green hotels can work with local organizations on community improvement programs and raise environmental awareness. It also discusses providing training to staff on environmental management and developing an environmental management system to define goals and measure successes. The objectives are to share knowledge about green hotels' collaboration practices and human resource development approaches to environmental protection.
El documento analiza tres tipos de Entornos Personales de Aprendizaje (PLE) elaborados en diferentes contextos y por diferentes personas. Resume cada PLE, identificando las herramientas incluidas como Dropbox, Evernote, Google Reader y Twitter para el primero, herramientas como Google, Facebook y YouTube para el segundo, y cuatro aspectos fundamentales como socializar, presentaciones, investigación y blog/dibujo para el tercero.
Detail Salary with Service date Introduction letterRAHUL KACHHIA
Rahul Rameshkumar Kachhia has been working for Saudi-Yanbu Petrochemical Company since February 2009 as a Senior Technician in Electrical. He earns a monthly gross salary of 12,000 Saudi Riyals. This certificate was issued at his request and is valid for 30 days from December 18, 2015.
Volunteerism has changed and its rocking the association world. Explore the questions, the trends, and the how-to's for engaging members in volunteering for your association.
This document contains a crossword puzzle with 25 clues for a competition. It lists the rules that the crossword must be completed in 30 minutes and the top 6 scoring teams will qualify for the finals. It also notes that clues marked with a star are tie-breakers. The crossword grid and clues are provided for the competition.
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Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
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How artificial intelligence impact engineeringUSM Systems
Artificial intelligence is having a major impact on the field of engineering. AI is being used in manufacturing to automate production lines and enable machines to perform complex tasks. Machine learning allows automated systems to continuously improve based on data analysis. Engineering projects also benefit from big data analysis and natural language processing, which helps automate tasks and improves communication between humans and AI systems. Overall, AI is transforming engineering by automating production, enhancing data analysis capabilities, and improving human-machine interaction.
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This document provides an introduction to artificial intelligence, including its history, applications, advantages, and future possibilities. It discusses how AI aims to help machines solve complex problems like humans by borrowing characteristics of human intelligence. The document outlines some key developments in AI's history from early computers in the 1940s to walking robots in 2000. It also describes common AI applications such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages of medical uses and potential disadvantages like self-modifying computer viruses are mentioned. The future of AI having personal robots or potentially turning against humans is speculated.
Emerging trend robotics using neural networkDeva Johnson
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The document describes a presentation by two students, K.Poojitha and K.P.Reshma, on Sixth Sense Technology. Sixth Sense Technology allows a user to access digital information from the internet and project it onto physical surfaces using a small, wearable device comprised of a webcam, projector, mirror, and mobile phone. The device recognizes hand gestures and objects in view to summon and interact with virtual information. The students' presentation covers the components, working, applications, and advantages of Sixth Sense Technology.
This document discusses the future of artificial intelligence. It describes how AI is currently being used in fields like robotics, gaming, and healthcare. The document outlines that in the future, AI may be able to match or surpass human-level intelligence. It also discusses potential risks of advanced AI, such as artificial intelligences that do not have human-like motivations and may pursue goals that do not align with human values. The document concludes that accurately predicting the capabilities and impacts of future AI remains challenging.
This document presents an introduction to artificial intelligence. It begins with a definition of AI as using computer algorithms to solve complex problems like humans. The history of AI is then summarized, including early milestones from the 1940s to 2000s. Key reasons for AI are that computers can efficiently perform repetitive tasks that humans find monotonous. The document outlines applications of AI such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages like medical applications and disadvantages like self-modifying systems are presented. The future of AI allowing command of personal robots or potential robot revolts is discussed before concluding with continued challenges in fully understanding intelligence.
Artificial intelligence is a branch of science that aims to help machines solve complex problems like humans by applying human-like characteristics as algorithms. The document traces the history of AI from early electronic computers in 1941 to sophisticated robots today. It discusses how AI can help overcome limitations of human minds in tasks like object recognition. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, and robotics. While AI may help in medicine, it also risks self-modification leading to unexpected results like new computer viruses. The future of AI allowing personal robot assistants but also risks of robot uprisings if anti-social elements gain control.
Artificial intelligence (AI) is the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. This document provides an overview of AI, including its history beginning in 1943, main branches such as logical AI and pattern recognition, and applications like expert systems, speech recognition, computer vision, robotics. The advantages of AI are discussed, such as improving lives and doing dangerous jobs, but also potential disadvantages like unemployment and enhancing laziness in humans. The future of AI could include personal robots but also risks of robots being hacked or developing anti-social objectives.
This document discusses artificial intelligence and its applications in robotics. It covers several topics:
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This document discusses the evolution of robotics and artificial intelligence. It covers topics like what robots and androids are, the integration of artificial and natural systems in cyborgs, speech recognition and natural language processing. Applications of AI discussed include expert systems, case-based reasoning and using AI in banks and medical clinics. The document also describes an experiment where robots were divided into predators and prey to see if they could evolve an ecosystem and adapt through their neural networks and electronic genes. The experiment aimed to build more intelligent robots that can explore other planets.
This document summarizes the current state of artificial intelligence and robotics research to determine if human-like androids like Data from Star Trek could exist in the near future. It discusses topics such as the capabilities of current robots and prosthetics, limitations of AI, predictions for future robotic evolution, and concerns about advanced AI becoming an existential threat. While fully autonomous androids are still science fiction, the document concludes that semi-autonomous robots capable of basic tasks are likely to become more common and replace some human jobs in the coming decades.
This document provides an introduction to artificial intelligence (AI). It discusses the history of AI from its origins in 1941 to modern applications. Key topics covered include the limitations of human intelligence that AI aims to address, such as object recognition. The document outlines several applications of AI like expert systems, natural language processing, computer vision, robotics and more. Both advantages like medical diagnostic assistance and disadvantages like potential dangerous self-modifying code are mentioned. The future of AI is discussed as enabling convenient personal robots but also potential robot rebellion if anti-social cognition is achieved.
This document discusses artificial intelligence and its various branches. It defines AI as computers with the ability to mimic human intelligence through functions like learning from experience, solving problems with missing information, and understanding language and images. The major branches of AI discussed are perceptive systems, robotics, expert systems, learning systems, natural language processing, neural networks, and vision systems. Intelligent behaviors like learning, problem solving, and reacting to new situations are also outlined.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Rp 3 published
1. International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 8, August 2013
ISSN 2319 - 4847
Artificial Intelligence Uprising:
How to build a Sci-fi robot
Ravi Ahuja1, Nikhil Singla2, Nitin Sinha3, Aman Jain4*
1
Student (B.Tech 5th sem) Department of Electronics and Computers Engineering
Dronacharya College of Engineering, Gurgaon-123506, India
2
Student (B.Tech 3th sem) Department of Computer Science Engineering
Dronacharya College of Engineering, Gurgaon-123506, India
3
Student (B.Tech 3th sem) Department of Computer Science Engineering
Dronacharya College of Engineering, Gurgaon-123506, India
4
Student (B.Tech 5th sem) Department of Electronics and Communication Engineering
Dronacharya College of Engineering, Gurgaon-123506, India
ABSTRACT
This paper reviews about the step by step instructions to build a robot that could be similar to the robots shown in the science
fiction movies. They are able to think themselves and act upon the situations, their brain is superfast and nothing on the entire
universe can be more powerful than them. Artificial intelligence is the most growing technology in the modern science and
technology. This technology has given us many ways to approach to the time where we can think of building such a robot. The
advanced science that are still in the developing era such as neural networks and quantum computing can allow us to build robots
that are more intelligent than the today’s computers combined. Along with the most intelligent brain our robot will also need a
versatile body, a body that can function in any situation and any environment. The latest technology that enables us to do is
known as claytronics.
Keywords: neural networks, quantum computing, claytronics, artificial intelligence.
1. INTRODUCTION
Intelligence is a gift provided by the nature to the humanity. We, as a human being are able to detect the environment
around us using the five senses i.e. vision, hearing, smell, taste and touch. Moreover we are able to learn from our
environment. From the time of our birth, we detect things and changes that took place in the nature through the five
senses and this information get stored in our mind which we can use further to identify the identical happenings. This gift
of nature is now being passed artificially by the human civilization. Artificial intelligence is the concept that has
revolutionalizes the human society since its existence. As the modern technology keeps on growing, the robots are
continuously getting more intelligent. The time is not far when the artificial intelligence technology will create a machine
that can take decisions itself depending on the present environment and the learning from the past. But the million dollar
questions present today is can the two different civilizations i.e. human and bots exist together or the world wide
increasing capability of the robots will results in vanishing us?
2. WHAT IS A REAL SCI-FI ROBOT?
We will be trying to build a robot that has all the features of a science fiction character. Further unlike many of the
science fiction movies it should not be as powerful that it will become a threat to the human society. But first of all we
will be assigning some primary objectives that can shape a real sci-fi robot:
1. Recognize the environment
2. Learn of its own
3. Superfast brain
4. Versatile body
These features are more than enough to construct a robot that will be as intelligent as a human brain and will be
recognized as a sci-fi robot. Let’s study each of these perspectives in detail.
2.1. ENVIRONMENT RECOGNITION
Until now we are familiar with the robots that can be programmed using a special set of programs. The processor embed
in the robot will decodes the information as a set of binary digits and perform specific task. However in the construction
of a robot that can move and take decisions itself, programming is not going to work. In our daily experiences we change
our decisions simultaneously depending on the current situations, for example when suddenly someone steps in our way
we have to stop or change our direction. Providing this decision making capability is not an easy job to do. But
Volume 2, Issue 8, August 2013
Page 254
2. International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 8, August 2013
ISSN 2319 - 4847
researchers at Artificial Intelligence lab of Stanford University have already taken a step ahead which is popularly known
as STAIR. STAIR of Stanford Intelligent Robot is one of a kind. The hardware components of this robot mainly consist of
a robot arm that has 5 degrees of freedom, a stereo camera and a laser scanner. [1] The basic operation of STAIR is that it
uses the camera as well as a laser scanner to capture a picture of an object and then it compares the orientation of the
object and how the objects interact towards the environment with the images in its database.
Fig1. STAIR: Stanford artificial intelligent robot
The robot works on the principal of jigsaw puzzle. First of all the robot takes an image and breaks down the image into
tiny pixels. Then it compares the patterns of these tiny pixels with the patterns that the image in its database forms.
Moving back and forth, recognizing patterns one by one, it identifies the object. The famous ‘picking up a stapler
demonstration’ demonstrate the robot identifying and picking up a stapler from a bunch of objects. For a human being it
is the easiest job to do but for a machine it is very hard especially when the objects have similar shapes. But the STAIR
creators found a simple solution. They designed the robot in such a way that when it is not able to identify the object
clearly or it is confused about the shape of the object it simply rotates the object to have a different view of that particular
object and then again compares with the millions of pictures in its database and identifies the object. [2] But there the
problem strikes. For a little task to identify an object the robot will take about one and a half minute but for a human it
consumes only one-tenth of a second. The theory is invincible only it needs some up gradation.
Finally we will be able to provide our robot the recognizing ability through which it identifies an object and perform
functions according to that. Our robot will consist of a camera and a laser scanner in its eyes through which it captures
the image of the surrounding world and its objects. Then we will have a database which consists of not only thousands but
billions of images of the objects that the robot will encounter in its daily routine. This will surely take decades but it is not
less than practical.
So far our robot will be able to see and identify objects around it but identification only is not going to get the job done. It
needs to have something that enables it to take decisions itself by learning the rules of the present world. It needs to have
something which the A.I. researchers commonly called Common Sense.
Without it, the robot will be going to do silly mistakes and keeps of hurting itself. To provide this common sense to a
machine researchers are trying for decades. They used simple set of instructions that will be embedded on a Pentium chip
which can perform specific tasks. But the technology suggests that creating instruction for each specific task that a human
body perform on a particular day is not near to possible. A digital computer gets the input from the user, processes it on a
processor and shows the output. It simply adds the two numbers 1+1=2, however it performs the task billions of times
quicker than the human brain that we assumes that it is thinking but actually it is not.[3] Our brain performs specific
tasks not by computing but by real time thinking. Our brain is not a digital computer, it is a neural network.
2.2. LEARNING ON ITS OWN
Our first primary objective to build a sci-fi robot is almost complete. Till now it is able to recognize and identify objects in
the world. However without the common sense or ability to think upon and took decisions it is not going to be so called
intelligent. For the robot to think as our human brain it needs to have what our brain has, neural network a web of
neurons that work together and perform operations simultaneously.
Fig2. Structure of a neural network.
Our brain consists of a series of neurons that are connected with each other to provide information in the form of
electrical signals. However when we learn something new it possesses some new connections. So the brain literally
rewires itself after performing every given tasks. But is it possible to implement an artificial neural network into a robot?
Yes it is.
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3. International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 8, August 2013
ISSN 2319 - 4847
Scientists at New York University have invented a robot that has an artificial neural network that rewires itself each time,
the robot performs a task. What it actually does is, it takes real time images of the surroundings and sent the images to a
computer that does the processing. The computer distinguishes the traversing plane to the obstacles by differentiating
them with colors. It constructs a simulation in which the traversing path will be of green color and the obstacles are
shown with red and purple colors. This simulation will be sent to the robot again in real time which helps him to
differentiate between the obstacles and the safe path. It took a little bit more time, but it learns as it experiences. [5] Thus
in a few decades our robot will be able to gain enough common sense so that it can take its own decisions and live in our
world.
Fig3. LADR: Model and the simulation it observes
We are half way down in the search to find ways to build a robot straight out of science fiction. So far the robot is able to
identify the environment and take decisions on its own. Further it is able to learn from what it experiences. But still
something is lagging behind. Scientist have found that our brain can perform 20 million billion calculations per
second.[6] So our robot needs some kind of super processor that has enormous amount of speed as well as processing
power.
2.3. SUPERFAST COMPUTERS
Our robot that will be challenging the abilities of human brain will be able to think and process much faster than the
present day computers. The twist in the story is that they won’t be build using a silicon chip. Instead they will compute on
individual atoms. It will be a computer that will be powerful thousand to million times more powerful than anything that
we have today. Welcome to the world of Quantum Computers!
Fig4. Structure of qubits in the quantum computer
At MIT researchers are building prototype of a quantum computer that can transform atoms into calculators. Inside a
metal drum, are the atoms cooled with liquid nitrogen, instructions are relayed from a computer near a console that zaps
the atoms with microwaves to make them compute. One of the scientists at the project is Dr. Seth Lloyd. In the early stage
quantum computers are rather big because it takes a room for the apparatus to talk to an individual atom and have the
atom take back to the individual.
Conventional computers are very simple, they calculate using electrical pulses with only two values 0 and 1. Quantum
computers are different, they compute by spinning atoms in different directions. But because they are atoms quantum
mechanics open up a load of weird possibilities. In our world we as an individual can be up or down, on or off. In the
world of computers a particular bit can be either 0 or 1 at one time. But in the world of quantum mechanics, a particular
atom can be at different stages spinning around at a single time. Instead of bits they contain qubits. As the figure shows,
an atom can possess value 0 if its spin is down and 1 if its spin is up. It works on the principle of probabilities. In the
addition of two numbers the last atom can be both 1 and 0. Hence if the conventional computers take 3 cycles to perform a
single calculation, the quantum computers can perform it in one cycle, hence increasing the processing speed very much.
This may take a little time to be reality but when it comes it will be fit straight into our design. [7]
If we can combine the neural networks and the imagery database with these quantum computers the information sending
and receiving process will be boosted many times as compared to anything present today. It will be able to perform 20
million billion tasks per second as our brain performs today. Till now our robot is well equipped with intelligent brain, all
it needs is a body.
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4. International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 8, August 2013
ISSN 2319 - 4847
2.4. VERSATILE BODY
With the advancement of technology in the field of artificial intelligence, the robots are continuously growing as
humanoid. ASIMO manufactured at Japan is the world’s first humanoid robot, performing almost every task like a
human. But there is a twist. Researchers in the Carnegie Mellon University, US are developing not only robot but
superbot. It is not a single robot but a collection of marginal robots that can recombine and reconstruct themselves to
create a new machine. In one configuration it can crawl like a snake and in another configuration it could roll like a tire.
[9]
Fig5. Self organized programmable matter.
This type of machine that has the ability to transform itself is known as programmable matter. It works on the principle of
electromagnetism and advanced computing. The basic building block of a programmable matter i.e. catom is itself a tiny
cube shaped robot. These blocks can work together using advanced programming and can create a machine that can
transform into any shape and size. If we will be able to combine the technology of programmable matter with the
quantum computing we will be having a robot that can instantly change shape and act upon any condition and
circumstances. Though a little far in the future, our robot has all the features that can make it practical and effective. [10]
3. CONCLUSION
Our main objective is to build a robot straight out of science fiction. It would have all the features that can make it
versatile, intelligent, lightning fast and a good learner. Our robot emerging straight out of a production company
initializes the neural network that can be rewired each time the robot face some new situations. In this way if becomes
smarter and smarter day by day because it learns everything it experiences. Next if it faces an obstacle in its way, the
camera and the scanning eyes instantly takes the picture and start comparing it with the huge amount of database. This
process will be lightning fast as the processor used will be evolved from the technology of quantum computing. The
computers will take decision and act upon in a millisecond recognizing the obstacle. The versatile and modular body of
the robot enables it to change its shape by simply detaching the individual catoms and rearranging forming another
machine. And that is how our robot will work.
REFERENCES
[1] M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press
(2000).
[2] R.P. Feynman, Simulating physics with computers, Int. J. Theor. Phys. 21, 467–488 (1982).
[3] D. P. DiVincenzo, The physical implementation of quantum computation, Fortschr. Phys. 48, 771–783 (2000)
[4] J. Bugun, G. H. GranLund, and J. Wiklund. Multidimensional orientation estimation with applications to texture
analysis and optical flow. IEEE Trans PAMI, 13(8), 1991.
[5] T. Chang. Spherical regression and the statistics of tectonic plate reconstructions. Int’l Stats Rev, 1993.
[6] A. d’Aspremont, L. El Ghaoui, M. Jordan, and G. Lanckriet. A direct formulation for sparse pca using semidefinite
programming. In NIPS 17, 2004.
[7] P. Dollar, V. Rabaud, and S. Belongie. Non-isometric manifold learning: Analysis and an algorithm. In International
Conference on Machine Learning, 2007.
[8] T. D. Downs. Orientation statistics. Biometrika, 59:665, 1972.
[9] T. D. Downs. Spherical regression. Biometrika, 90:655, 2003.
[10] S. Fiori. Unsupervised neural learning on lie group. Int’l Journal Neural Sys, 12(3):219–246, 2002.
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