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01
Artificial
Intelligence
(AI)
02
Robotics
03
,
Computational
Fluid Dynamics
.
Artificial
Intelligence(AI
)
01
According to the Fathers of Artificial Intelligence ,John
McCarthy,it is , “The Science and engineering of making
intelligent machines,especially intelligent computer programs”
Introduction
Artificial Intelligence is a way of making a computer,a
computer-controlled robot ,or a software think
intelligently,in the similar manner the intelligent humans
think
AI is showing the potential to be a
faster,more efficient way to find
develop new drugs.
A growing numbers of organization
and universities are focusing to
minimize the complexities involved in
classic way of drug discovery by
using AI computing to envisage
which drug candidates are most to
be effective treatments.
Disease
Identification
Personalize
treatment
Drug Discovery
and
Manufacturing
Clinical Trials
Research
Radiology and
Radiotherapy
Smart electronic
health record
Application of AI in pharmaceuticals
AI have various application in heath care and pharmacy which are as follows
.
• .
AI in Drug Discovery
Advantages and Disadvantages
Advantages
1. Error Reduction
• We use AI in most of the cases.as this helps us in reducing
the risk.
• Also, increases the chance of reaching accuracy with the
greater degree of precision
2. Difficult Exploration
• Used in fuel exploration process
• Complex machines used for exploring the ocean
.
3.Daily Application
• Used in financial institution and banking institutions are widely using
AI. That is to organize and manage data.
• Used to detection of fraud users in smart card based system
4.No breaks
• Machines do not require frequent break and refreshments like
humans. As machines are programmed for long hours.
5.Increase Work Efficiency
• For a particular repetitive task, AI powered machines are great with
amazing efficiency
• Deep learning and neutral algorithms used in AI to learn new things
like humans do.
Disadvantage
1.High Cost
• Its creation requires huge cost as they are very complex
machines. Also, repair and maintenance require huge
cost.
2.NO Replicating Humans
• As intelligence is believed to be a gift of nature. An ethical
argument continues, whether human intelligence is to be
replicated or not.
3.Lesser Jobs
• As we know that machines do routine and repeatable task
much better than humans.
.
4.Addiction
• As we rely on machines to make everyday tasks more
efficient we use machines.
5.Efficient Decision Making
• As we know computers are getting smarter every day.
They have not only an ability to learn but also to teach
other computers.
H e s i t a n t
to change
Lack of proper
IT
infrastructure
,
Data quality
g o v e rn an c e ,
security, and
interoperability
Breaking down
data silos and
streamlining
electronic records
,
Overfitting
or
Underfitting
Low accuracy
of the training
data
AI
 Current Challenges
Future prospects
AI technologies are now used in every stage in
pharmaceutical R&D , as is evidenced by the numerous
high-value deals between “Big Pharma "and providers of AI
technologies.
Example ,Eversheds Sutherland advised global
biopharmaceutical company AstraZeneca on its long-term
collaboration with Benevolent AI to use AI and machines
learning for the discovery and development of potential new
treatments for chronic kidney disease(CKD) and idiopathic
pulmonary fibrosis(IPF).
02
Robotic
s
Introduction
The international organization for standardization gives a
definition of robot in ISO8373: “An automatically controlled,
reprogrammable, multipurpose, manipulator programmable
in three or more axes, which may be either fixed in place or
mobile for use in industrial automation application”.
Robotics is a domain in artificial intelligence that deals
with the study of creating intelligent and efficient robots.
Advantages of Robotics
Increased Efficiency
Higher quality
Improved working environment
Increase profitability
More precise(clear,Accurate) and consistent than human
worker
Allows increased production
Save company time
Disadvantages of Robotics
Capital Cost
Unemployment
Need maintenance and repair
The procedure to restore lost code or data may be time
consuming and costly
They can perform the repetitive task for long but they do
not get better experience such as the humans do
03
Computational Fluid
Dynamics(CFD)
Introduction
Fluid mechanics studies fluid performance at rest and in
motion
A branch of fluid dynamics called computational fluid
dynamics has become a powerful and cost effective tool
for simulating real fluid flow
CFD is the analysis of systems involving fluid flow, heat
transfer and associated phenomena such as chemical
reaction by means of computer based simulation
Application Of CFD
CFD process Steps Geometry Description
Specification of flow properties and condition
Selection of models
Specification of initial and boundary condition
Grid generation and transformation
Specification of numeral parameters
Flow solution
Post processing: Analysis and visualization
Uncertainty assessment
Advantages Of CFD
Provides the ability to theoretically simulate any
physical condition
Allow great control over the physical process and
provides the ability to isolate specific phenomena for
study
CFD simulation can be executed in a short period of
time
CFD simulation are relatively inexpensive
Disadvantages of CFD
Not all molecules are very reliable, we still cannot
simulate many phenomenon
To compute very large simulation we could need large
computers and getting access to them could be difficult
Possibility of error form unknown sources
Very expensive
References
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC75
77280/
• https://www.slideshare.net/SujithaMary1/robotics-
233663951
• https://www.slideshare.net/snehagaurkar/artificial-
intelligence-robotics-and-cfd-by-sneha-gaurkar
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Artificial Intelligence.pptx

  • 1.
  • 4. According to the Fathers of Artificial Intelligence ,John McCarthy,it is , “The Science and engineering of making intelligent machines,especially intelligent computer programs” Introduction Artificial Intelligence is a way of making a computer,a computer-controlled robot ,or a software think intelligently,in the similar manner the intelligent humans think
  • 5. AI is showing the potential to be a faster,more efficient way to find develop new drugs. A growing numbers of organization and universities are focusing to minimize the complexities involved in classic way of drug discovery by using AI computing to envisage which drug candidates are most to be effective treatments.
  • 6. Disease Identification Personalize treatment Drug Discovery and Manufacturing Clinical Trials Research Radiology and Radiotherapy Smart electronic health record Application of AI in pharmaceuticals AI have various application in heath care and pharmacy which are as follows
  • 7. . • . AI in Drug Discovery
  • 8. Advantages and Disadvantages Advantages 1. Error Reduction • We use AI in most of the cases.as this helps us in reducing the risk. • Also, increases the chance of reaching accuracy with the greater degree of precision 2. Difficult Exploration • Used in fuel exploration process • Complex machines used for exploring the ocean
  • 9. . 3.Daily Application • Used in financial institution and banking institutions are widely using AI. That is to organize and manage data. • Used to detection of fraud users in smart card based system 4.No breaks • Machines do not require frequent break and refreshments like humans. As machines are programmed for long hours. 5.Increase Work Efficiency • For a particular repetitive task, AI powered machines are great with amazing efficiency • Deep learning and neutral algorithms used in AI to learn new things like humans do.
  • 10. Disadvantage 1.High Cost • Its creation requires huge cost as they are very complex machines. Also, repair and maintenance require huge cost. 2.NO Replicating Humans • As intelligence is believed to be a gift of nature. An ethical argument continues, whether human intelligence is to be replicated or not. 3.Lesser Jobs • As we know that machines do routine and repeatable task much better than humans.
  • 11. . 4.Addiction • As we rely on machines to make everyday tasks more efficient we use machines. 5.Efficient Decision Making • As we know computers are getting smarter every day. They have not only an ability to learn but also to teach other computers.
  • 12. H e s i t a n t to change Lack of proper IT infrastructure , Data quality g o v e rn an c e , security, and interoperability Breaking down data silos and streamlining electronic records , Overfitting or Underfitting Low accuracy of the training data AI  Current Challenges
  • 13. Future prospects AI technologies are now used in every stage in pharmaceutical R&D , as is evidenced by the numerous high-value deals between “Big Pharma "and providers of AI technologies. Example ,Eversheds Sutherland advised global biopharmaceutical company AstraZeneca on its long-term collaboration with Benevolent AI to use AI and machines learning for the discovery and development of potential new treatments for chronic kidney disease(CKD) and idiopathic pulmonary fibrosis(IPF).
  • 15. Introduction The international organization for standardization gives a definition of robot in ISO8373: “An automatically controlled, reprogrammable, multipurpose, manipulator programmable in three or more axes, which may be either fixed in place or mobile for use in industrial automation application”. Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and efficient robots.
  • 16. Advantages of Robotics Increased Efficiency Higher quality Improved working environment Increase profitability More precise(clear,Accurate) and consistent than human worker Allows increased production Save company time
  • 17. Disadvantages of Robotics Capital Cost Unemployment Need maintenance and repair The procedure to restore lost code or data may be time consuming and costly They can perform the repetitive task for long but they do not get better experience such as the humans do
  • 19. Introduction Fluid mechanics studies fluid performance at rest and in motion A branch of fluid dynamics called computational fluid dynamics has become a powerful and cost effective tool for simulating real fluid flow CFD is the analysis of systems involving fluid flow, heat transfer and associated phenomena such as chemical reaction by means of computer based simulation
  • 21. CFD process Steps Geometry Description Specification of flow properties and condition Selection of models Specification of initial and boundary condition Grid generation and transformation Specification of numeral parameters Flow solution Post processing: Analysis and visualization Uncertainty assessment
  • 22. Advantages Of CFD Provides the ability to theoretically simulate any physical condition Allow great control over the physical process and provides the ability to isolate specific phenomena for study CFD simulation can be executed in a short period of time CFD simulation are relatively inexpensive
  • 23. Disadvantages of CFD Not all molecules are very reliable, we still cannot simulate many phenomenon To compute very large simulation we could need large computers and getting access to them could be difficult Possibility of error form unknown sources Very expensive
  • 24. References • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC75 77280/ • https://www.slideshare.net/SujithaMary1/robotics- 233663951 • https://www.slideshare.net/snehagaurkar/artificial- intelligence-robotics-and-cfd-by-sneha-gaurkar