Artificial intelligence is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.

1. Artificial intelligence
NameRahulMehta
UID19BCA1033

2. Contents
• Definition
• Early History
• Current status of AI
• Challenges for AI
• Future of AI
• Pros & Cons
• Conclusion

3. What is AI?
• The studyofcomputersystemsthatattempttomodel andapplytheintelligence ofthe humanmind.
• A branchofcomputerscience dealing with thesimulationofintelligent behaviorin computers.
• The capabilityofamachine toimitateintelligent humanbehavior.

4. Examples of AI
NowGoogle, Siri and Cortana are all intelligent digital personal assistants on various
platforms (iOS,Android, and Windows Mobile). In short, they helpfind useful information
when we ask for it using our voice. We can use them to make calls, send messages, set
reminders, take notes, recognizemusic, find greatrestaurants, check your calendar, and
more

5. Early History
In 1950 English mathematician Alan Turing wrote a landmark papertitled “Computing
Machinery and Intelligence” that asked the question: “Can machines think?”
Further work cameout of a 1956 workshop at Dartmouth sponsored by John McCarthy. In the
proposal for that workshop, he coinedthe phrase a “study of Artificial Intelligence”

6. THE RISE OF ARTIFICIALINTELLIGENCE

7. CurrentAI Status
AIhave takenmany shapes and forms over recent years
oMobilePhones( Siri/Cortana)
oVideoGamesCharacters
oGPS/ VoiceRecognition
oRobotics.
Google hasbeen a major play on AI transcendence and Deep Learning. o Deep learning is a
machine learning based on algorithms.

8. CHALLENGES
• ComputingPower
• Tolerance Power
• IntuitiveThinking
• JudgingPowe

9. FUTUREOF AI
• Beyond negotiation,Moore says CMU is bettingseveral other AI areas are going to be
hugelyimportantin thenear future.
• Self Driving Cars.
• Improved Medical Care & Treatment.
• Open up doors to futureexplorations.

10. PROS & CONS
Pros
• Precision andAccuracy
• Spaceexploration
• Used formining process
• Candolaborioustasks
• Frauddetection,managerecords
CONS
• Notableto actanydifferent
• Lackthe humantouch
• Lacka creativemind
• Lackcommon sense
• Unemployment

11. CONCLUSION
Finally wecan say that the Artificial Intelligence (AI) is the
intelligence ofmachines and the branch ofComputer Sciencethat
aims to createit.AI textbooks define the field as “ TheStudy and
Design of Intelligent Agents” where an intelligent agent is a system
that perceives it’s environment and takes actions that maximize the
chances of it’s success. John McCarthy ,who coinedthe termin
1955, defines it as “The Science and Engineering of making
intelligent Machines”

12. Thank you