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.
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