Artificial Intelligence (A.I.) || Introduction of A.I. || HELPFUL FOR STUDENT...Shivangi Singh
Powerpoint Presentation on Artificial Intelligence which is helpful for students and anyone who want to gain information on A.I. . Helpful in college / school / university presentation on Artificial Student. Officials Personnel also use this for their use.
This Power Point Presentation is completely made by me.
If anyone want this ppt please email at : devashreeapplications@gmail.com
Or you can DM me on my Instagram Handle==> ID:: @theshivangirajpoot(SHERNI)
Thankyou for your interest:):)
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
Artificial Intelligence (A.I.) || Introduction of A.I. || HELPFUL FOR STUDENT...Shivangi Singh
Powerpoint Presentation on Artificial Intelligence which is helpful for students and anyone who want to gain information on A.I. . Helpful in college / school / university presentation on Artificial Student. Officials Personnel also use this for their use.
This Power Point Presentation is completely made by me.
If anyone want this ppt please email at : devashreeapplications@gmail.com
Or you can DM me on my Instagram Handle==> ID:: @theshivangirajpoot(SHERNI)
Thankyou for your interest:):)
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
This presentation is about Robotics Technology. In this presentation, you know about the history of robots, types of robots, advanced robotics technology, application of robots, advantage dis advantage of robots.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This is a live presentation (turned into a deck) on how human's process information versus machines. The deck also looks to the future of AI and machine learning. Spoiler: it ends with a scene out of WestWorld Season 1 (love the show). A number of the slides are a summary of a few incredible TED talks. Credit to the authors of these talks and links to their presentations are included. Hope you find these slides fun and informative.
This presentation is about Robotics Technology. In this presentation, you know about the history of robots, types of robots, advanced robotics technology, application of robots, advantage dis advantage of robots.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial intelligence, watson and the final checkmateRicardo Murer
Artificial Intelligence (AI) is a field of research that is both fascinating and mysterious, influenced by science fiction to such extent that many of us find it impossible to differentiate what is real and what is the fruit of the imagination of Hollywood writers and directors.
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
5. AI tools
6. Something special
7. Limitations of AI
8. Conclusion
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
3. WHY „MAN VS MACHINE‟?
Human being, a special creation
of God.
Arrival of numerous inventions
and discoveries over the time.
Rapid Industrial Growth
Rise in the need of smart
machines
Phenomenal Development in the
fields of electronics and
computer.
Computers– invention of the 20th century; superlative machines
which pose a challenge to human intellect.
4. WHO IS A HUMAN?
Biological Being
Social Being
Intellectual Being
5. Human: a unique machine
Most complex and unique machine of the world.
Praised by man himself in Psalm (the Hebrew bible).
Wonderful analogies with respect to human body.
Human
brain, analog
ous to
advanced
CPU
Eyes, analog
ous to video
cameras
Skin, analogo
us to
industrial heat
exchangers.
Heart, natural
pump,
maintains BP
7. Human qualities
Human qualities justify them as superior
and advanced race over other living
species.
- Consciousness, belief in self-
existence
- Emotions, intrinsic feelings like
happiness, joy, anger
- Motivation, force governing our
actions
- Creativity, generation of new idea and
object
- Decision making, selection of an
alternative
8. Human consciousness
Most important human quality and advanced event in
the history of evolution.
Related to feelings of self-awareness and self-
importance.
On popular account, three types of consciousness:
Simple-
Consciousness,
awareness of the
body
Self-
Consciousness,
awareness of
being self
Cosmic-
Consciousness,
awareness of the life
and order of the
universe
9. WHAT IS A MACHINE?
Mechanically constructed object
Can be programmed to perform
various actions.
Can incorporate the elements of
electronics and computer.
10. Machines and their growth
The idea of first simple machine, 3rd century B.C. -
Archimedes.
The modern definition for machine states it as
Earlier machines were categorized into two:
- Static machines, like pulleys, inclined
plane, lever, etc.
- Dynamic machines, like
compressor, pumps, engines etc.
“an apparatus or tool using or applying
mechanical power to achieve a particular task.”
11. Classification of machines
Depending on various applications, machines
can be classified as:
- Mechanical, E.g. engines, pumps, turbines.
- Electrical and Electronic, E.g.
generator, transformer.
- Computing, E.g. computer, clusters.
12. •A general design strategy for machines consists of:
Designing of machines
Invention
Performance
Engineering
Recycle
Need
identification, conc
ept
generation, prototy
ping and
manufacturing.
enhancing
efficiency, adding
features and
improving
effectiveness.
decommissioning
and disposal
phase, recovery
and reuse of
materials.
14. CAPABILITIES OF MACHINES
Depending on the magnitude of its
ability, a machine can do various jobs that
are risky, tougher or impossible and even
drudgery.
Machines can be programmed to do a job
again and again till the command expires.
They never tire up!
Machine can be made to imitate a human
by suitable programming.
15. EDGE OF MACHINES OVER HUMANS
Can be constructed with high
mechanical strength.
More accurate than humans
Faster than humans
16. LIMITATIONS OF MACHINES
Only do programmed work
Cannot think, feel or will as they
are not a „being‟ at all.
A machine can be made to
imitate a human but not a human
itself.
17. View point towards development
Machine growth resulted in better human life, but with
dilemmas and problems.
• Negative aspects of
development - social and
economic problems.
• Weakened our ethical and
moral values.
• We should not forget
“Humans have created
machines not humans are
created by them.”
18. Where are we heading to?
Have we ever thought about the:
• Imperfection in human life
due to perfect machines.
• One possible cause is the
negligence of value
education system.
- deeper consequences of such machine
growth?
- moral dilemmas of human race?
- role of humans in machine world?
- future state of unemployment and poverty?
19. THE GAP BETWEEN ANDRO-
HUMANOID AND ACTUAL HUMAN
Andro-Humanoids can imitate humans
But they cannot be programmed to
write their own code and command.
They use sensors to sense but cannot
really „feel‟ as they lack
consciousness.
They can be made to learn but not
think
20. THE BRAIN PUZZLE
Scientists are still struggling to explore
the secrets of brain
If that happens, humans would go to new
heights
Many psychological disorders can be
cured very easily.
Mystical phenomena like telepathy and
ESP can be cracked and applied to daily
use!.
21. ARTIFICIAL INTELLIGENCE
Complex codes are fed to make
machines behave like humans
Just an illusion is created that they
are able to think
They just compute and execute.
Getting conscious „by chance‟ is
wilder and more zany than the
theory of organic soup or godzilla!
22. Artificial Intelligence & Chess
• Much research has been performed in Computer Chess
• Deep Blue (IBM) defeated the world champion Kasparov in
1997 , at its 2nd try after 1996’s defeat
23. This Event Made this Question Popular. “Are
Computers More Intelligent than Humans?‟
Are Calculators Intelligent?
: Similarly the computer which plays chess is no
more intelligent than computeri that was fine
tuned by grandmaster Joel Benjamin, Miguel
Illescas, John Fedorovich and Nick De Firmian. It
plays chess just by following an algorithm. It
doesn't solve it.
Like CHINESE ROOM ARGUMENT of
Professor John Searle
: As one can take Chinese question answer
session just by following procedure without
even knowing what is being discussed …
similarly Machine also may act humanly by
showing some of predefined behavior, without
being Intelligent like humans.
24. Propositions and Arguments
Gottfried Leibniz‟s (1646–1716) “Leibniz‟ Mill”
There are other theories like Chinese Nation which
came up in early discussion of functionalist theories of
minds and cognition.
Another antecedent of this theory was the Turing's
Paper Machine . This idea is found in the work of Alan
Turing, for example in “Intelligent Machinery” (1948).
Concept of embodiment leading to Strong AI.
Gödel's incompleteness theorems which helps in
appreciating the fact that human mind is too complex to
be defined with a mathematical model.
25. Developing intelligent machines
Related to the field of AI - started in 1955 by John
McCarthy, Herbert Simon and others.
Till date, not possible to create human level machine
intelligence due to:
- Limited computing resources
- Task oriented machines
Turing test, to differentiate
between AI machines and
Humans.
26. TURING TEST
Proposed by famous scientist Alan
Turing
Involves chat among humans and
machines without face-face contact.
Tests the ability of coders
27. Complexities and Attempts
One of the announcement by IBM on
making Artificial Brain …. Artificial brain
„10 years away‟ But, as we cannot even
generate random numbers and still not
able to work with quantum particles and
describe the mind‟s working principle, it is
far out of our reach.
28. Machine Learning
- the computing tool which sounds like a
computer algorithm able to learn out of
experiences.
- But machine learning is no more than
interpolation of data used for training the
Neural Network.
- For this machines learning means a
matrices with optimized weighing values.
29. Future of AI
AI might result in machines superior to human
intelligence.
Capable of tasks like complex problem solving, flying
spacecraft, building next generation machines.
But important questions arise here:
- Will they be conscious?
- Will they praise their creator like
we do?
- Will they agree to become slave
for human race?
30. Taming the machines
AI researchers have
confirmed, the growth of AI
might be uncontrollable.
Intelligence only positive
trait, but not for machines.
True path of development- science and technology
plus moral, behavior and ethical values.
Solution- development of value education system
(knowledge + values) like ancient Indian system.
31. There are few things which makes us
Creative Humans
NO Computer follows any self
created technique. It just an
unconscious instruction executer .
Cellular Automata apparently looks
like a computer program generating
creative patters. Actually its rules and
starting condition have all the
features which its output have.
32. Why we Love Science and put our Faith
in it.
In the field of satisfying
humans, science has did
very well in past few
decades …
33. We depend on Science and that‟s why
we love it
Because of this good experience with science
modern people appreciate it from it‟s toe to tip.
34. LIMITATIONS OF MODERN SCIENCE
Depends on logical conclusion
analyzed with the help of available
senses.
Has lot of space for assumption and
negligence.
Revision of stated Truths are allowed.
35. SPIRITUAL SCIENCE
“Absence of evidence is not the
evidence for absence”.
Soul is the reason behind humans‟
ability to think, feel and will.
Spirituality cannot be analyzed
through material means as it may
involve energies of higher
dimensions.
36. Vedantic Perspective
According to Indian scriptures matter cannot have
consciousness. It is a feature of soul and only presence of
soul can manifest life. “O son of Bharata, as the sun alone
illuminates all this universe, so does the living entity, one
within the body, illuminate the entire body by
consciousness.” (BG 13.34).
“The Supreme Lord is situated in everyone's heart, O
Arjuna, and is directing the wanderings of all living
entities, who are seated as on a machine, made of the
material energy.” (BG 18.61). Hear machine refers to the
physical body of living entity.
“Earth, water, fire, air, ether, mind, intelligence and false
ego—all together these eight constitute My separated
material energies.” (BG 7.4). According to Vedanta
Intelligence is not the result of functionality of brain, it is a
subtle element.
37. “The individual is the
passenger in the chariot of the
material body, and the
intelligence is the
driver. Mind is the driving
instrument, and the senses are
the horses. The
self is thus the enjoyer or the
sufferer in the association of
mind and the
senses. So, it is understood by
great thinkers.” (Katha
Upanishad 1.3.3-4).
From Vedantic view point purpose of physical
body, mind and intelligence is to facilitate the living
soul.
38. IF MACHINES GAIN CONSCIOUSNESS
If machines gain
consciousness they will
turn into „beings‟ and
cannot suit the definition of
a machine.
There is no question of
„man versus machine‟
debate.
They will form a new
species if they can do
biological activities like
feeling etc.
39. Conclusion
The growth of machines has also given rise to
social, moral, ethical and economic problems.
Impossible for a machine to replace unique human
features.
Only the path of knowledge illuminated with
human values will lead us to true growth and
development of man and mankind.
Machines are not capable of doing anything out of
box that’s why they cannot create something new.
A product with more complexity cannot come out
of a thing with less complexity . And it is true to all
systems but human mind don’t fall below that kind
of limitation.
40. FINAL VERDICT
Machines can never gain consciousness
Consciousness is not programmable
Humans may not be as mightier as
machines but they are capable enough to
employ the machines to fulfill their needs.
Humans are valuable, they are true
„beings‟.
HUMANS SHALL PREVAIL (OF COURSE
WITH THE HELP OF MACHINES !)..