There are untapped data sources from our other senses like smell, taste, and touch that could provide valuable information. Current data and machine systems primarily use sight and hearing to provide information, but are limited because they do not account for the full sensory picture. Ancient technologies like encryption found in ancient texts and analogue computing may provide ways to access and understand multidimensional data beyond what is possible with modern digital systems. This could help overcome limitations and unlock new insights.
This document provides an overview of an Artificial Intelligence course, including:
- The course covers topics such as strong and weak AI, knowledge representation, problem solving using search techniques, machine learning, and more.
- The learning outcomes are to understand different approaches to AI and implications for cognitive science, expand knowledge of search and learning algorithms, and understand basic planning and reasoning methods.
- Required materials include an AI textbook and reference books, as well as a programming language for AI applications.
1. The document introduces the topic of artificial intelligence (AI) including its evolution, branches, applications, and conclusions.
2. It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving and discusses strong vs weak AI.
3. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
This document discusses several key topics in philosophy of AI:
1. It examines debates around whether machines can think intelligently and behave like humans. Philosophers disagree on issues like consciousness and emotions in machines.
2. It outlines Asimov's Three Laws of Robotics which propose ethical guidelines for robots to not harm humans and obey human orders.
3. It lists areas where AI is applied like knowledge representation, reasoning, games, and robotics. Academic disciplines related to AI research are also mentioned.
This document discusses artificial intelligence, including its history, types, examples, and characteristics. It provides an overview of AI beginning with its definition as intelligence demonstrated by machines as proposed by John McCarthy. The document outlines the early pioneers of AI like Alan Turing and discusses weak and strong types of AI. Examples of AI applications are given like chess games and robotics competitions. Characteristics needed for human-level AI are described such as natural language processing, reasoning, and machine learning.
This document provides an overview of an artificial intelligence course, including:
- The course covers introduction to AI history and applications, knowledge representation, problem solving using search and reasoning, machine learning, robotics, and advanced AI topics.
- Required materials include an AI textbook, CLIPS programming guide, and reference books on AI structures and complex problem solving.
- The document then provides definitions and discussions of intelligence, artificial intelligence, applications of AI, and the current capabilities and limitations of AI systems.
The document provides an overview of artificial intelligence (AI), including its main areas of study, progress made, applications, and ongoing challenges. It discusses how AI involves automated perception, learning, reasoning and planning. While recognition and learning have advanced, planning and general reasoning remain challenging. The document outlines applications in industries like finance, medicine and transportation, but notes that many problems remain unsolved, making AI an active area of research.
How To Write A Song 6 Great Ways To Create A Song - Mixing TipsMichelle Adams
The document provides instructions for completing an assignment through HelpWriting.net. It outlines 5 steps: 1) Create an account; 2) Complete an order form with instructions, sources, and deadline; 3) Review bids from writers and choose one; 4) Ensure the paper meets expectations and authorize payment; 5) Request revisions until satisfied. It emphasizes obtaining original, high-quality content and the ability to request revisions.
This document provides an overview of an Artificial Intelligence course, including:
- The course covers topics such as strong and weak AI, knowledge representation, problem solving using search techniques, machine learning, and more.
- The learning outcomes are to understand different approaches to AI and implications for cognitive science, expand knowledge of search and learning algorithms, and understand basic planning and reasoning methods.
- Required materials include an AI textbook and reference books, as well as a programming language for AI applications.
1. The document introduces the topic of artificial intelligence (AI) including its evolution, branches, applications, and conclusions.
2. It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving and discusses strong vs weak AI.
3. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
This document discusses several key topics in philosophy of AI:
1. It examines debates around whether machines can think intelligently and behave like humans. Philosophers disagree on issues like consciousness and emotions in machines.
2. It outlines Asimov's Three Laws of Robotics which propose ethical guidelines for robots to not harm humans and obey human orders.
3. It lists areas where AI is applied like knowledge representation, reasoning, games, and robotics. Academic disciplines related to AI research are also mentioned.
This document discusses artificial intelligence, including its history, types, examples, and characteristics. It provides an overview of AI beginning with its definition as intelligence demonstrated by machines as proposed by John McCarthy. The document outlines the early pioneers of AI like Alan Turing and discusses weak and strong types of AI. Examples of AI applications are given like chess games and robotics competitions. Characteristics needed for human-level AI are described such as natural language processing, reasoning, and machine learning.
This document provides an overview of an artificial intelligence course, including:
- The course covers introduction to AI history and applications, knowledge representation, problem solving using search and reasoning, machine learning, robotics, and advanced AI topics.
- Required materials include an AI textbook, CLIPS programming guide, and reference books on AI structures and complex problem solving.
- The document then provides definitions and discussions of intelligence, artificial intelligence, applications of AI, and the current capabilities and limitations of AI systems.
The document provides an overview of artificial intelligence (AI), including its main areas of study, progress made, applications, and ongoing challenges. It discusses how AI involves automated perception, learning, reasoning and planning. While recognition and learning have advanced, planning and general reasoning remain challenging. The document outlines applications in industries like finance, medicine and transportation, but notes that many problems remain unsolved, making AI an active area of research.
How To Write A Song 6 Great Ways To Create A Song - Mixing TipsMichelle Adams
The document provides instructions for completing an assignment through HelpWriting.net. It outlines 5 steps: 1) Create an account; 2) Complete an order form with instructions, sources, and deadline; 3) Review bids from writers and choose one; 4) Ensure the paper meets expectations and authorize payment; 5) Request revisions until satisfied. It emphasizes obtaining original, high-quality content and the ability to request revisions.
The document defines artificial intelligence as a branch of computer science dealing with creating intelligent machines that can solve complex problems. It discusses key events in the development of AI such as the 1956 Dartmouth Conference and Deep Blue beating the world chess champion in 1997. The document outlines several applications of AI like expert systems, speech recognition, computer vision, robotics, and game playing. It also discusses the goals, pros and cons of AI, and considers its future impact both positive in areas like automation, and potential negative consequences if not developed responsibly.
This document provides an introduction to artificial intelligence (AI) including its evolution, branches, applications, and conclusions. It discusses key concepts like the Turing test, definitions of AI, and intelligence. The history of AI is explored from early programs in the 1940s-50s to expert systems in the 1980s. Applications mentioned include expert systems, natural language processing, speech recognition, computer vision, and robotics. Both positive and negative potential futures of AI and robotics are considered. In conclusion, AI has increased understanding of intelligence while also revealing its complexity, providing ongoing challenges and opportunities.
Here are three possible interpretations of the phrase "Time flies like an arrow":
1. The passage of time seems to go by very quickly, in the same way that an arrow flies through the air.
2. Certain types of insects that lay their eggs on decaying matter, known as flies, move through the air in a similar way to arrows.
3. The idiom is using "flies" to refer to time passing quickly in an abstract sense, similar to an arrow moving swiftly through space.
The key challenges with natural language understanding are ambiguity and context. Even a short phrase like this one could have multiple meanings without additional context clues. Determining the intended interpretation requires commonsense reasoning abilities that computers still lack
- The document discusses artificial intelligence, including its history, key areas such as knowledge representation and learning, and applications in areas like consumer marketing, identification technologies, predicting stock markets, and machine translation.
- While progress has been made in areas like recognition and learning, challenges remain in full natural language understanding, human-level planning and decision making. AI is being applied across many industries but remains an active area of research.
1) The document discusses the relationship between content, cognition, digital content, and cognitive systems. It argues that content is the external representation of human perceptions and thoughts, shaped by our embodied brains through experience.
2) The EU's Cognitive Systems and Robotics program aims to develop artificial systems that can interpret sensor data, acquire situated knowledge, and assist humans by acting and communicating on human terms. Over 100 projects have received over 500 million euros in funding.
3) The document outlines that future progress in cognitive systems may require recreating life itself through approaches like biomimetics and artificial life. However, it notes ethical issues will need careful consideration to avoid unintended consequences.
The document discusses how Edmund from Shakespeare's King Lear embodies Friedrich Nietzsche's concept of the "Free Spirit." Both Edmund and the Free Spirit question conventional morality and embrace their natural instincts and desires over imposed social rules. While viewed as villains in their eras, they represent alternative moral systems not defined by the status quo.
Artificial Intelligence power point presentationDavid Raj Kanthi
A presentation about the basic idea about the present and future technologies which are dependent on the "ARTIFICIAL INTELLIGENCE".
AI is a branch of science which deals with the thinking, predicting, analyzing which are done by the computer itself.
The present presentation slides consists of the AI with machine learning and deep learning, goals of AI, Applications of AI and history of the Artificial intelligence etc.
Most of the examples listed can currently be done to some degree by AI/robotic systems, though often with limitations compared to human capabilities. Here are a few highlights of what has and hasn't been fully achieved:
- Decent table tennis play has been achieved through computer vision, motion planning, and robotics, though not at a professional human level across all situations.
- Autonomous driving has progressed significantly in structured environments like highways, but unconstrained mountain roads with tight curves present greater challenges due to limitations in perception, prediction, and control for high-speed maneuvering.
- Driving autonomously through dense urban environments like city centers is extremely difficult given the complex interactions between many road users and need to understand and
Infographic Tips For Writing A Research Paper AmericaRachel Quintana
The document provides tips for writing a research paper through HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete an order form with instructions and attach samples; 3) Review bids from writers and choose one; 4) Review the completed paper and authorize payment; 5) Request revisions until satisfied. It emphasizes original, high-quality work and refunds for plagiarism.
Artificial intelligence is the science and engineering of making intelligent machines, especially computer programs. It is accomplished by studying how the human brain thinks and learns, and using those principles to develop software and systems that can demonstrate intelligent behavior. Some key applications of AI include expert systems, natural language processing, computer vision, robotics, and intelligent assistants. While AI systems can perform tasks like perception, reasoning, and problem solving, human intelligence differs in its ability to perceive patterns and store/recall information based on those patterns. The goals of AI are to create expert systems that exhibit intelligent behavior and to implement human-like intelligence in machines. Areas that contribute to AI development include computer science, biology, psychology, linguistics, mathematics and engineering.
The document introduces an artificial intelligence course, discussing why AI is studied, potential benefits, and definitions of AI. It explores different approaches to AI like systems that act intelligently by passing the Turing test or thinking rationally. The document also provides a brief history of AI, discussing pioneers in the field and important questions and challenges in developing intelligent systems.
The document introduces an artificial intelligence course, discussing why AI is studied, potential benefits, and definitions of AI. It explores different approaches to AI like systems that act intelligently by passing the Turing test or thinking rationally. The document also provides a brief history of AI, discussing pioneers in the field and important questions and challenges in developing intelligent systems.
This document provides an introduction to an artificial intelligence course. It discusses why AI is an important field of study and provides definitions of AI from several experts. It also explores different approaches to AI like acting humanly by passing the Turing test, thinking humanly by understanding brain function, thinking rationally through logic, and acting rationally to achieve goals. The document examines key issues and questions in AI and outlines important foundations and history. It analyzes components of AI systems and properties of different environments agents can operate in.
Montclair State University College Essay TopicMimi Young
The document describes the steps involved in getting help with an assignment from HelpWriting.net:
1. Create an account by providing a password and email address.
2. Complete a 10-minute order form providing instructions, sources, deadline, and attaching a sample of previous work.
3. Review bids from writers and choose one based on qualifications, history, and feedback, then pay a deposit to start the assignment.
4. Review the completed paper and authorize final payment if satisfied, or request free revisions. Multiple revisions are allowed to ensure satisfaction. HelpWriting.net guarantees original, high-quality content or a full refund.
This document provides a summary of artificial intelligence including definitions, history, and whether computers can perform certain tasks. It discusses four approaches to defining AI: (1) thinking like humans through cognitive science, (2) thinking rationally using logic, (3) acting like humans as in the Turing test, and (4) acting rationally to achieve the best outcomes. The document also summarizes key events in the history of AI and whether computers can beat humans at games, recognize speech, understand language, learn, see, plan, and more.
This document provides an introduction to the course "Lecture 1: Introduction to Artificial Intelligence". The key points covered include:
- The course aims to provide knowledge and understanding of AI concepts like search, game playing, knowledge-based systems, planning and machine learning. Students will learn to use these concepts to solve AI tasks and critically evaluate solutions.
- The document discusses different definitions of artificial intelligence and what it means for a system to be intelligent based on its ability to be flexible, make sense of ambiguous messages, recognize importance, find similarities and differences, and learn from experience.
- The Turing test is introduced as a way to measure machine intelligence by having a human evaluator determine if they are interacting with a computer
I Need Essay Help Get Help Writing An EssayAndrea Lee
The document provides instructions for getting essay help from HelpWriting.net. It is a 5 step process:
1. Create an account with valid email and password.
2. Complete a 10 minute order form providing instructions, sources, and deadline.
3. Review bids from writers and choose one based on qualifications.
4. Receive the paper and authorize payment if pleased.
5. Request revisions until fully satisfied, with a refund option for plagiarism.
While artificial intelligence (AI) is often referred to in popular culture, in reality AI encompasses a broad range of technologies and applications. Some common examples of AI that are already widely used include search algorithms, personalized recommendations, and computer vision technologies. However, these applications do not necessarily constitute strong or general human-level AI. There is no consensus on how to define AI, and its potential capabilities and limitations are actively debated. Overall, AI is an evolving field with many existing real-world uses today, even if more advanced visions of superintelligence remain hypothetical.
This document provides information about the COMPSCI 570: Artificial Intelligence course at Duke University taught by Professor Vincent Conitzer. It includes basic course details like meeting times, prerequisites, grading, and an overview of topics to be covered. It also briefly discusses some successes in AI like game playing as well as challenges and concerns regarding superintelligence, consciousness, technological unemployment, and autonomous weapons.
Artificial intelligence (AI) is an area of computer science that aims to design machines that can think and act intelligently, like humans. The document discusses several key aspects of AI including:
- The goals of AI such as learning, reasoning, understanding language.
- Examples of modern AI applications like defeating chess champions, driving vehicles autonomously, and assisting with medical diagnoses.
- The history and development of AI from its origins in the 1950s to modern areas like neural networks.
- Challenges in developing truly intelligent machines that can match all aspects of human intelligence like creativity and common sense.
The document defines artificial intelligence as a branch of computer science dealing with creating intelligent machines that can solve complex problems. It discusses key events in the development of AI such as the 1956 Dartmouth Conference and Deep Blue beating the world chess champion in 1997. The document outlines several applications of AI like expert systems, speech recognition, computer vision, robotics, and game playing. It also discusses the goals, pros and cons of AI, and considers its future impact both positive in areas like automation, and potential negative consequences if not developed responsibly.
This document provides an introduction to artificial intelligence (AI) including its evolution, branches, applications, and conclusions. It discusses key concepts like the Turing test, definitions of AI, and intelligence. The history of AI is explored from early programs in the 1940s-50s to expert systems in the 1980s. Applications mentioned include expert systems, natural language processing, speech recognition, computer vision, and robotics. Both positive and negative potential futures of AI and robotics are considered. In conclusion, AI has increased understanding of intelligence while also revealing its complexity, providing ongoing challenges and opportunities.
Here are three possible interpretations of the phrase "Time flies like an arrow":
1. The passage of time seems to go by very quickly, in the same way that an arrow flies through the air.
2. Certain types of insects that lay their eggs on decaying matter, known as flies, move through the air in a similar way to arrows.
3. The idiom is using "flies" to refer to time passing quickly in an abstract sense, similar to an arrow moving swiftly through space.
The key challenges with natural language understanding are ambiguity and context. Even a short phrase like this one could have multiple meanings without additional context clues. Determining the intended interpretation requires commonsense reasoning abilities that computers still lack
- The document discusses artificial intelligence, including its history, key areas such as knowledge representation and learning, and applications in areas like consumer marketing, identification technologies, predicting stock markets, and machine translation.
- While progress has been made in areas like recognition and learning, challenges remain in full natural language understanding, human-level planning and decision making. AI is being applied across many industries but remains an active area of research.
1) The document discusses the relationship between content, cognition, digital content, and cognitive systems. It argues that content is the external representation of human perceptions and thoughts, shaped by our embodied brains through experience.
2) The EU's Cognitive Systems and Robotics program aims to develop artificial systems that can interpret sensor data, acquire situated knowledge, and assist humans by acting and communicating on human terms. Over 100 projects have received over 500 million euros in funding.
3) The document outlines that future progress in cognitive systems may require recreating life itself through approaches like biomimetics and artificial life. However, it notes ethical issues will need careful consideration to avoid unintended consequences.
The document discusses how Edmund from Shakespeare's King Lear embodies Friedrich Nietzsche's concept of the "Free Spirit." Both Edmund and the Free Spirit question conventional morality and embrace their natural instincts and desires over imposed social rules. While viewed as villains in their eras, they represent alternative moral systems not defined by the status quo.
Artificial Intelligence power point presentationDavid Raj Kanthi
A presentation about the basic idea about the present and future technologies which are dependent on the "ARTIFICIAL INTELLIGENCE".
AI is a branch of science which deals with the thinking, predicting, analyzing which are done by the computer itself.
The present presentation slides consists of the AI with machine learning and deep learning, goals of AI, Applications of AI and history of the Artificial intelligence etc.
Most of the examples listed can currently be done to some degree by AI/robotic systems, though often with limitations compared to human capabilities. Here are a few highlights of what has and hasn't been fully achieved:
- Decent table tennis play has been achieved through computer vision, motion planning, and robotics, though not at a professional human level across all situations.
- Autonomous driving has progressed significantly in structured environments like highways, but unconstrained mountain roads with tight curves present greater challenges due to limitations in perception, prediction, and control for high-speed maneuvering.
- Driving autonomously through dense urban environments like city centers is extremely difficult given the complex interactions between many road users and need to understand and
Infographic Tips For Writing A Research Paper AmericaRachel Quintana
The document provides tips for writing a research paper through HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete an order form with instructions and attach samples; 3) Review bids from writers and choose one; 4) Review the completed paper and authorize payment; 5) Request revisions until satisfied. It emphasizes original, high-quality work and refunds for plagiarism.
Artificial intelligence is the science and engineering of making intelligent machines, especially computer programs. It is accomplished by studying how the human brain thinks and learns, and using those principles to develop software and systems that can demonstrate intelligent behavior. Some key applications of AI include expert systems, natural language processing, computer vision, robotics, and intelligent assistants. While AI systems can perform tasks like perception, reasoning, and problem solving, human intelligence differs in its ability to perceive patterns and store/recall information based on those patterns. The goals of AI are to create expert systems that exhibit intelligent behavior and to implement human-like intelligence in machines. Areas that contribute to AI development include computer science, biology, psychology, linguistics, mathematics and engineering.
The document introduces an artificial intelligence course, discussing why AI is studied, potential benefits, and definitions of AI. It explores different approaches to AI like systems that act intelligently by passing the Turing test or thinking rationally. The document also provides a brief history of AI, discussing pioneers in the field and important questions and challenges in developing intelligent systems.
The document introduces an artificial intelligence course, discussing why AI is studied, potential benefits, and definitions of AI. It explores different approaches to AI like systems that act intelligently by passing the Turing test or thinking rationally. The document also provides a brief history of AI, discussing pioneers in the field and important questions and challenges in developing intelligent systems.
This document provides an introduction to an artificial intelligence course. It discusses why AI is an important field of study and provides definitions of AI from several experts. It also explores different approaches to AI like acting humanly by passing the Turing test, thinking humanly by understanding brain function, thinking rationally through logic, and acting rationally to achieve goals. The document examines key issues and questions in AI and outlines important foundations and history. It analyzes components of AI systems and properties of different environments agents can operate in.
Montclair State University College Essay TopicMimi Young
The document describes the steps involved in getting help with an assignment from HelpWriting.net:
1. Create an account by providing a password and email address.
2. Complete a 10-minute order form providing instructions, sources, deadline, and attaching a sample of previous work.
3. Review bids from writers and choose one based on qualifications, history, and feedback, then pay a deposit to start the assignment.
4. Review the completed paper and authorize final payment if satisfied, or request free revisions. Multiple revisions are allowed to ensure satisfaction. HelpWriting.net guarantees original, high-quality content or a full refund.
This document provides a summary of artificial intelligence including definitions, history, and whether computers can perform certain tasks. It discusses four approaches to defining AI: (1) thinking like humans through cognitive science, (2) thinking rationally using logic, (3) acting like humans as in the Turing test, and (4) acting rationally to achieve the best outcomes. The document also summarizes key events in the history of AI and whether computers can beat humans at games, recognize speech, understand language, learn, see, plan, and more.
This document provides an introduction to the course "Lecture 1: Introduction to Artificial Intelligence". The key points covered include:
- The course aims to provide knowledge and understanding of AI concepts like search, game playing, knowledge-based systems, planning and machine learning. Students will learn to use these concepts to solve AI tasks and critically evaluate solutions.
- The document discusses different definitions of artificial intelligence and what it means for a system to be intelligent based on its ability to be flexible, make sense of ambiguous messages, recognize importance, find similarities and differences, and learn from experience.
- The Turing test is introduced as a way to measure machine intelligence by having a human evaluator determine if they are interacting with a computer
I Need Essay Help Get Help Writing An EssayAndrea Lee
The document provides instructions for getting essay help from HelpWriting.net. It is a 5 step process:
1. Create an account with valid email and password.
2. Complete a 10 minute order form providing instructions, sources, and deadline.
3. Review bids from writers and choose one based on qualifications.
4. Receive the paper and authorize payment if pleased.
5. Request revisions until fully satisfied, with a refund option for plagiarism.
While artificial intelligence (AI) is often referred to in popular culture, in reality AI encompasses a broad range of technologies and applications. Some common examples of AI that are already widely used include search algorithms, personalized recommendations, and computer vision technologies. However, these applications do not necessarily constitute strong or general human-level AI. There is no consensus on how to define AI, and its potential capabilities and limitations are actively debated. Overall, AI is an evolving field with many existing real-world uses today, even if more advanced visions of superintelligence remain hypothetical.
This document provides information about the COMPSCI 570: Artificial Intelligence course at Duke University taught by Professor Vincent Conitzer. It includes basic course details like meeting times, prerequisites, grading, and an overview of topics to be covered. It also briefly discusses some successes in AI like game playing as well as challenges and concerns regarding superintelligence, consciousness, technological unemployment, and autonomous weapons.
Artificial intelligence (AI) is an area of computer science that aims to design machines that can think and act intelligently, like humans. The document discusses several key aspects of AI including:
- The goals of AI such as learning, reasoning, understanding language.
- Examples of modern AI applications like defeating chess champions, driving vehicles autonomously, and assisting with medical diagnoses.
- The history and development of AI from its origins in the 1950s to modern areas like neural networks.
- Challenges in developing truly intelligent machines that can match all aspects of human intelligence like creativity and common sense.
2. Five Senses
• Collectors are these sensors
• Storage of memory is dynamic
• Human Intellect is analytics engine it also takes into
account previous analysis done by itself. (Main diff)
• Automation in the body doesn’t require analytics
-Heart beat, breathing, sensory systems which we forgot to train
ourselves ( sixth sense kind of stuff)
3. Why are we stuck at only two senses
• Humans understand the environment using their sensory organs. All living beings
communicate with each other using various methods using the data received by
these sensory organs or Systems.
As far as we know, there are 5 sensory organs. Let’s keep aside the sixth sense for
time being.
• 1) Sight 2) Smell 3) Taste 4) Touch 5) Hearing
• If we notice, current data world is primarily using only Sight and hearing data. Even
we have taught machines to provide us data, converted into only these two
methods.
• We have not made or trained our machines to sense the data of smell, taste and
give us inputs on the same format. But we rather made machines which can only
give us information in those two forms. Some machines can feel the touch (latest
Robots) but they still convert that format into light and sound formats and provide
us the information.
We can easily question “what’s wrong in getting info only n these two
formats.
Let’s delve more into it here as it is time already.
4. Dimensions of Word
• “Written Word” as we ‘see’ it is a symbolic representation of a
thought process, or a collection of events that happened. And this
representation is different from one place to another. It later came
to be known as “Language”. One may wonder on how people
communicated to each other before there is anything called
language, either written or sign (both uses seeing).
• Communication happens through touch, sounds & signs (writing or
facial expressions/body language seen by receiving party)
• So an expression of thought or an event is a combined result of
many processes. When we try to put it into one form , for example,
into a Written word, it loses several dimensions of the event that is
supposed to be expressed by the intending party.
5. Security Angle- Encryption-Storage
• The concept is based on what I mentioned above.
Word when written is capable of providing different
expression than the intended one.
• This danger is well notice long back, (almost 10000
years & beyond) in India and I was surprised when I
first heard the term “apaurusheyam”, not spoken by
human. Keeping aside the mythical and other aspects
of this concept, and looking at it in a purely scientific
angle, it really represents a method of information
passage above and beyond human sensory organs and
tools!!! So it cannot be corrupted by any living being!!!
What a secured way of storing information/data!!
6. Relevance ?
• Now coming back to our sensory organs
limitations and the data that we need to
handle, and on how to leverage the untapped
data sources for our current advantage, let’s
look into these methods
7. Failure of 5th
Generation
• When Bill Gates commented that the 5th
generation computing has
failed, its indeed a strong message to computing world that there is
more to be done in a different direction than which we came all the
way into bytes and binary gates!!!
• What he was talking about is that the computers could not be
trained/made to get or provide the data from the other two
sensory systems. Taste & Smell
• I propose that information that we are getting both, so-called
structured, unstructured, from machines and humans, is
incomplete and there is a deluge of information lying there which
when connected gives a totally different picture about the things
we perceive.
• For example, if we can decipher the way animals communicate, the
way sea creatures communicate, we could have easily located the
missing Malaysia plane with in few hours.
8. Forgotten or untouched data sources
• Though it looks little imaginative, but the whole search operation for Seethamma
by Lord Rama is majorly carried out by animals( monkeys and bears) and
birds( jataayu) without which it could have taken years for Rama to locate
seethamma !!! Why are we missing this simple point in developing our systems?
• There are major sources of information right in front of our eyes in the form of
trees. They must have seen at least a hundreds and thousands of years of life
around us. Some of the trees in Hampi or Delhi are as old as 1000 years. Though
we call their conscious level is different than that of humans, is there any proof
that it is actually so? Sir Hargobind Khorana proved scientifically that plants and
trees does have feelings and reactions.to various situations. They contracted when
a gardener who cuts them every day goes near to them and were feeling happy
and expanded when a lady who daily waters them and nurtures them lovingly had
approaches them. It is proved by different methods by the named scientist!!! So
their conscious levels are equal to humans!!!
• What if we can get the information from those sources!!! ??? Do we have
systems? Do we have enough algorithms to decipher their data?
9. Failure of Digital computing
• After dealing with various data warehousing and data
systems for more than 20 years, I could see that we have
reached the obvious expected serious limitation.
• The digital computing limitation !!! Its not only the
computing power that limits it’s also the size of the data to
be processed going forward given the entry of various data
sources like I mentioned above!! There is a serious
discussion going on about this digital computing limitations
• In this context I would like to bring back the age old
analogue computing which might help us understand the
world the way other living beings understands the world
10. Quantum Computing
• The obvious failure of digital computing, leading the
way to quantum computing But here I would like to
stop for a moment and ponder over a minute and look
into the ancient technologies that were in vogue in
ancient India , where the ancient maharishis could
decipher the language of nature and could manage
massive loads of information so accurately that even
modern day computers are not able to compete or
comprehend , like the value of Pi, the constellations,
various geographic representations, the purification of
environment plagued by various poisonous
gasses/bacteria by using yagnas etc !!!
11. Encryption –Ancient technology
• Encryption is a feature of ancient literature. Ancient India placed a lot of
emphasis on knowledge reaching only those who could be trusted with
the knowledge and not all. Ideas are often conveyed covertly and not
overtly in ancient texts. The language and the literary style had more than
enough capability to achieve this end.
• There are some works, for example, the Sri-vidya literature, which are
commonly understood as encrypted. Bhaskararaya (1690 - 1785) defying
accepted practices of his time wrote a commentary on Lalita-
sahastranama, unlocking some of its hidden thoughts.
• Encrypted Science in Rig-veda
• How far back does this practice of encryption go? At least one-man - Dr.
Subhash Kak, a scientist, historian and Indologist felt strongly that there is
encrypted truth in the oldest of all literary works - the Rig-Veda, backed
his instincts and dwelt on the issue. His work has unveiled the knowledge
of astronomy of the Vedic civilization that lay hidden in the Samhita part
of the Rig-Veda
-------------------Courtesy: (www.Indianscriptures.com)
13. Smell and Taste
• Both Smell and taste happens thru the small
particles carry from sender( smelling Object) to
receivers(sensors in nose)
• This means when we are smelling we are actually
having some part of the smelling object inside
our noses
• Nose contains sensors which takes the signals
into vertebra from there, to Brain for processing
• Taste also carried over by Taste Buds in the
mouth and reaches brain for processing
14. Links
• Encryption in ancient texts ( Rigveda)
http://www.indianscriptures.com/vedic-knowledge/vedic-studies/cosmology/encryption-in-ancient-indian-texts#
• A research paper on encryption in ancient texts
http://www.ijcse.com/docs/INDJCSE13-04-03-075.pdf
• Acoustic cryptanalysis (modern)
https://en.wikipedia.org/wiki/Acoustic_cryptanalysis
• Oregon symbol appearance in 1990 ( might have resulted by a unique sound created by chanting somewhere with
frequency suitable fo this kind of phenomenon.
http://www.bookofresearch.com/unexplained-mystery-of-oregon-sri-yantra.htm
• Cognitive Neuroscience in preserving texts for 1000s of years
http://mt.artofmemory.com/files/forum/1183/divideandlink_0.pdf