SlideShare a Scribd company logo
Applications of AI
4
Robotic Vehicles
 Stanley is an autonomous car created
by Stanford University’s Stanford Racing Team
in cooperation with the Volkswagen Electronics
Research Laboratory (ERL). It won the 2005
DARPA Grand Challenge, earning the Stanford
Racing Team the 2-million-dollar prize.
 STANLEY is a Volkswagen Touareg outfitted
with cameras, radar, and laser range finders to
sense the environment and onboard software
to command the steering, braking, and
acceleration.
Robotics Vehicle
 Waymo LLC is an American autonomous driving technology
development company. Waymo offered the only
commercial self-driving car service that operated fully
autonomously, without safety backup drivers in the vehicle.
 Tesla Autopilot is a suite of advanced driver-assistance
system features offered by Tesla that has lane centering,
traffic-aware cruise control, self-parking, automatic lane
changes, semi-autonomous navigation on limited access
freeways, and the ability to summon the car from a garage or
parking spot.
Speech Recognition
Speech recognition is the modern technology used to
recognize spoken words and accordingly find information. The
words recognized can also be converted into text. ... Major tech
giants like Facebook, Amazon, Apple, Microsoft, and Google
offer AI-powered speech recognition applications.
Autonomous Planning & Scheduling
 A hundred million miles from Earth, NASA’s
Remote Agent program became the first on-
board autonomous planning program to control
the scheduling of operations for a spacecraft
(Jonsson et al., 2000).
 AEGIS (Autonomous Exploration for
Gathering Increased Science) is a software
suite that will imminently be operational
aboard NASA's Curiosity Mars rover,
allowing the rover to autonomously detect
and prioritize targets in its surroundings, and
acquire geochemical spectra using its
ChemCam instrument.
Gaming
 IBM’s DEEP BLUE became the first computer program
to defeat the world champion in a chess match when
its bested Garry Kasparov by a score of 3.5 to 2.5 in an
exhibition match (Goodman and Keene, 1997).
 AlphaGo is a computer program that plays the
board game Go . It was developed by DeepMind
Technologies which was later acquired by Google.
AlphaGo is the first computer program to defeat a
professional human Go player. Go is known as
the most challenging classical game for artificial
intelligence ...
 F.E.A.R. First Encounter Assault Recon is a
first-person shooter survival horror video game
developed by Monolith Productions and published
by Vivendi Universal Game and Warner Bros.
Games.
Spam
Fighting  Learning algorithms classify over a billion messages
as spam, saving the recipient from having to waste
time deleting what, for many users, could comprise
80% or 90% of all messages, if not classified away
by algorithms.
 Facebook uses machine learning and deep learning
to detect facial features and tag your friends.
 Twitter is using AI to identify hate speech and
terroristic language in tweets.
Agriculture
 Blue River Technology is a California-
based machinery enterprise with a focus on
designing, producing, and selling computer-vision-
based robotics that can be used to aid the agriculture
industry.
 The company has created a machine called "See &
Spray". The machine uses computer vision and
artificial intelligence to detect, identify, and make
management decisions about individual plants in the
farmer's field so that plants which are essential to
farmers and consumers are not unintentionally
destroyed by herbicides.
Agriculture.
 Plantix is a mobile crop advisory app for
farmers, extension workers and gardeners.
Plantix was developed by PEAT GmbH, a
Berlin-based AI startup. It can diagnose pest
damage; plant disease and nutrient
deficiencies affecting crops and can offer
corresponding treatment measures.
Marketing
 AI has the capacity to gather, analyze, and store
large data. AI helps marketers easily understand
consumer trends and incorporate that knowledge
into marketing strategies. ... The use of artificial
intelligence marketing allows marketers to
reach potential customers and give them easy
access to make purchases.
Education and
Learning
 Personalised learning.
 Teacher’s aid.
 Teaching the teacher.
Banking and Finance
 HDFC Bank's EVA (Electronic Virtual
Assistant) is India's first and largest
Artificial Intelligence powered banking
chatbot.
 Eva uses the latest in AI and Natural
Language Processing to understand the
user query and fetch the relevant
information from thousands of possible
sources, all in a matter of milliseconds.
Robotics
Thanks For
Watching
Reference:
Artificial Intelligence
A Modern Approach Third Edition
Peter Norvig and Stuart J. Russell
Next Topic:
Agents & Environment.
Subscribe
Like
Share
OMega TechEd
About the Channel
This channel helps you to prepare for BSc IT and BSc computer science subjects.
In this channel we will learn Business Intelligence ,Artificial Intelligence, Digital Electronics,
Internet OF Things Python programming , Data-Structure etc.
Which is useful for upcoming university exams.
Gmail: omega.teched@gmail.com
Social Media Handles:
omega.teched
megha_with
Subscribe

More Related Content

Similar to Applications of A.I

9 powerful examples of artificial intelligence in use today by venkat vajra...
9 powerful examples of artificial intelligence in use today   by venkat vajra...9 powerful examples of artificial intelligence in use today   by venkat vajra...
9 powerful examples of artificial intelligence in use today by venkat vajra...
venkatvajradhar1
 
Top 10 AI Technologies That Will Rock the World
Top 10 AI Technologies That Will Rock the WorldTop 10 AI Technologies That Will Rock the World
Top 10 AI Technologies That Will Rock the World
Robert Smith
 
Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)
Software in Brussels
 
Applications of artificial intelligence assiginment2
Applications of artificial intelligence assiginment2Applications of artificial intelligence assiginment2
Applications of artificial intelligence assiginment2
Pal Neeraj
 
Artificial Intelligence (2016) - AMP New Ventures
Artificial Intelligence (2016) - AMP New VenturesArtificial Intelligence (2016) - AMP New Ventures
Artificial Intelligence (2016) - AMP New Ventures
AMP New Ventures
 
Decoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdfDecoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdf
syedabdul63
 
Decoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdfDecoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdf
syedabdul63
 
Introduction to Artificial Intelligence.pptx
Introduction to Artificial Intelligence.pptxIntroduction to Artificial Intelligence.pptx
Introduction to Artificial Intelligence.pptx
RSAISHANKAR
 
Current status of ai (social and professional position)
Current status of ai (social and professional position)Current status of ai (social and professional position)
Current status of ai (social and professional position)
HamzaZeb1
 
AI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptxAI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptx
ssuser9437e3
 
Top 5 AI Applications of 2023.pdf
Top 5 AI Applications of 2023.pdfTop 5 AI Applications of 2023.pdf
Top 5 AI Applications of 2023.pdf
Dark Bears
 
5th generation computer development
5th generation computer development5th generation computer development
5th generation computer development
Deepti Sharma
 
Area's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptxArea's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptx
JIMSVKII
 
Artifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in oneArtifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in one
jehan1987
 
Artificial intelligence for diploma students
Artificial intelligence for diploma students Artificial intelligence for diploma students
Artificial intelligence for diploma students
SampatkumarKuntoji
 
Artificial intelligence Overview by Ramya Mopidevi
Artificial intelligence Overview by Ramya MopideviArtificial intelligence Overview by Ramya Mopidevi
Artificial intelligence Overview by Ramya Mopidevi
Ramya Mopidevi
 
Artificial Intelligence in Autonomous Vehicles
Artificial Intelligence in Autonomous VehiclesArtificial Intelligence in Autonomous Vehicles
Artificial Intelligence in Autonomous Vehicles
ijtsrd
 
types of AI.pdf
types of AI.pdftypes of AI.pdf
types of AI.pdf
MDHASANMERAJ1
 
The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
The 10 Best Examples Of How Companies Use Artificial Intelligence In PracticeThe 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
Bernard Marr
 
Benefits & Risks of Artificial Intelligence.pptx
Benefits & Risks of Artificial Intelligence.pptxBenefits & Risks of Artificial Intelligence.pptx
Benefits & Risks of Artificial Intelligence.pptx
Desertcart
 

Similar to Applications of A.I (20)

9 powerful examples of artificial intelligence in use today by venkat vajra...
9 powerful examples of artificial intelligence in use today   by venkat vajra...9 powerful examples of artificial intelligence in use today   by venkat vajra...
9 powerful examples of artificial intelligence in use today by venkat vajra...
 
Top 10 AI Technologies That Will Rock the World
Top 10 AI Technologies That Will Rock the WorldTop 10 AI Technologies That Will Rock the World
Top 10 AI Technologies That Will Rock the World
 
Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)
 
Applications of artificial intelligence assiginment2
Applications of artificial intelligence assiginment2Applications of artificial intelligence assiginment2
Applications of artificial intelligence assiginment2
 
Artificial Intelligence (2016) - AMP New Ventures
Artificial Intelligence (2016) - AMP New VenturesArtificial Intelligence (2016) - AMP New Ventures
Artificial Intelligence (2016) - AMP New Ventures
 
Decoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdfDecoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdf
 
Decoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdfDecoding Artificial Intelligence.pdf
Decoding Artificial Intelligence.pdf
 
Introduction to Artificial Intelligence.pptx
Introduction to Artificial Intelligence.pptxIntroduction to Artificial Intelligence.pptx
Introduction to Artificial Intelligence.pptx
 
Current status of ai (social and professional position)
Current status of ai (social and professional position)Current status of ai (social and professional position)
Current status of ai (social and professional position)
 
AI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptxAI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptx
 
Top 5 AI Applications of 2023.pdf
Top 5 AI Applications of 2023.pdfTop 5 AI Applications of 2023.pdf
Top 5 AI Applications of 2023.pdf
 
5th generation computer development
5th generation computer development5th generation computer development
5th generation computer development
 
Area's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptxArea's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptx
 
Artifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in oneArtifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in one
 
Artificial intelligence for diploma students
Artificial intelligence for diploma students Artificial intelligence for diploma students
Artificial intelligence for diploma students
 
Artificial intelligence Overview by Ramya Mopidevi
Artificial intelligence Overview by Ramya MopideviArtificial intelligence Overview by Ramya Mopidevi
Artificial intelligence Overview by Ramya Mopidevi
 
Artificial Intelligence in Autonomous Vehicles
Artificial Intelligence in Autonomous VehiclesArtificial Intelligence in Autonomous Vehicles
Artificial Intelligence in Autonomous Vehicles
 
types of AI.pdf
types of AI.pdftypes of AI.pdf
types of AI.pdf
 
The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
The 10 Best Examples Of How Companies Use Artificial Intelligence In PracticeThe 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice
 
Benefits & Risks of Artificial Intelligence.pptx
Benefits & Risks of Artificial Intelligence.pptxBenefits & Risks of Artificial Intelligence.pptx
Benefits & Risks of Artificial Intelligence.pptx
 

More from Megha Sharma

Data Management Activities, Extraction, Transformation and Loading (ETL)
Data Management Activities, Extraction, Transformation and Loading (ETL)Data Management Activities, Extraction, Transformation and Loading (ETL)
Data Management Activities, Extraction, Transformation and Loading (ETL)
Megha Sharma
 
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Megha Sharma
 
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUCModel Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
Megha Sharma
 
Model Evaluation Matrix: Accuracy, precision and recall
Model Evaluation Matrix: Accuracy, precision and recallModel Evaluation Matrix: Accuracy, precision and recall
Model Evaluation Matrix: Accuracy, precision and recall
Megha Sharma
 
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
Megha Sharma
 
Visualization Techniques ,Exploratory Data Analysis(EDA), Histogram
Visualization Techniques ,Exploratory Data Analysis(EDA), HistogramVisualization Techniques ,Exploratory Data Analysis(EDA), Histogram
Visualization Techniques ,Exploratory Data Analysis(EDA), Histogram
Megha Sharma
 
Data Preprocessing- Data transformation, Scaling, Normalization, Standardiza...
Data Preprocessing- Data transformation,  Scaling, Normalization, Standardiza...Data Preprocessing- Data transformation,  Scaling, Normalization, Standardiza...
Data Preprocessing- Data transformation, Scaling, Normalization, Standardiza...
Megha Sharma
 
Data Science- Data Preprocessing, Data Cleaning.
Data Science- Data Preprocessing, Data Cleaning.Data Science- Data Preprocessing, Data Cleaning.
Data Science- Data Preprocessing, Data Cleaning.
Megha Sharma
 
Data Preprocessing- Feature Selection and Merging.
Data Preprocessing- Feature Selection and Merging.Data Preprocessing- Feature Selection and Merging.
Data Preprocessing- Feature Selection and Merging.
Megha Sharma
 
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
Megha Sharma
 
Data Science comparison with AI, ML, BI, and data warehousing, data mining.
Data Science comparison with AI, ML, BI, and data warehousing, data mining.Data Science comparison with AI, ML, BI, and data warehousing, data mining.
Data Science comparison with AI, ML, BI, and data warehousing, data mining.
Megha Sharma
 
Data Science Introduction, Application of Data Science.
Data Science Introduction, Application of Data Science.Data Science Introduction, Application of Data Science.
Data Science Introduction, Application of Data Science.
Megha Sharma
 
Ensemble learning
Ensemble learningEnsemble learning
Ensemble learning
Megha Sharma
 
Association Rule mining
Association Rule miningAssociation Rule mining
Association Rule mining
Megha Sharma
 
Bellman's equation Reinforcement learning - II
Bellman's equation Reinforcement learning - IIBellman's equation Reinforcement learning - II
Bellman's equation Reinforcement learning - II
Megha Sharma
 
Reinforcement learning in Machine learning
 Reinforcement learning in Machine learning Reinforcement learning in Machine learning
Reinforcement learning in Machine learning
Megha Sharma
 
E-M Algorithm
E-M AlgorithmE-M Algorithm
E-M Algorithm
Megha Sharma
 
Entropy and information gain in decision tree.
Entropy and information gain in decision tree.Entropy and information gain in decision tree.
Entropy and information gain in decision tree.
Megha Sharma
 
Types of Machine Learning. & Decision Tree.
Types of Machine Learning. & Decision Tree.Types of Machine Learning. & Decision Tree.
Types of Machine Learning. & Decision Tree.
Megha Sharma
 
If statements in C
If statements in CIf statements in C
If statements in C
Megha Sharma
 

More from Megha Sharma (20)

Data Management Activities, Extraction, Transformation and Loading (ETL)
Data Management Activities, Extraction, Transformation and Loading (ETL)Data Management Activities, Extraction, Transformation and Loading (ETL)
Data Management Activities, Extraction, Transformation and Loading (ETL)
 
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
 
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUCModel Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
Model Evaluation Matrix: Confusion Matrix, F1 Score, ROC curve AUC
 
Model Evaluation Matrix: Accuracy, precision and recall
Model Evaluation Matrix: Accuracy, precision and recallModel Evaluation Matrix: Accuracy, precision and recall
Model Evaluation Matrix: Accuracy, precision and recall
 
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
Visualization Techniques- Box plot, Line Chart, Scatter plot, Bar chart.
 
Visualization Techniques ,Exploratory Data Analysis(EDA), Histogram
Visualization Techniques ,Exploratory Data Analysis(EDA), HistogramVisualization Techniques ,Exploratory Data Analysis(EDA), Histogram
Visualization Techniques ,Exploratory Data Analysis(EDA), Histogram
 
Data Preprocessing- Data transformation, Scaling, Normalization, Standardiza...
Data Preprocessing- Data transformation,  Scaling, Normalization, Standardiza...Data Preprocessing- Data transformation,  Scaling, Normalization, Standardiza...
Data Preprocessing- Data transformation, Scaling, Normalization, Standardiza...
 
Data Science- Data Preprocessing, Data Cleaning.
Data Science- Data Preprocessing, Data Cleaning.Data Science- Data Preprocessing, Data Cleaning.
Data Science- Data Preprocessing, Data Cleaning.
 
Data Preprocessing- Feature Selection and Merging.
Data Preprocessing- Feature Selection and Merging.Data Preprocessing- Feature Selection and Merging.
Data Preprocessing- Feature Selection and Merging.
 
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
Different types of data. Qualitative, Quantitative, Ordinal, Nominal, Discret...
 
Data Science comparison with AI, ML, BI, and data warehousing, data mining.
Data Science comparison with AI, ML, BI, and data warehousing, data mining.Data Science comparison with AI, ML, BI, and data warehousing, data mining.
Data Science comparison with AI, ML, BI, and data warehousing, data mining.
 
Data Science Introduction, Application of Data Science.
Data Science Introduction, Application of Data Science.Data Science Introduction, Application of Data Science.
Data Science Introduction, Application of Data Science.
 
Ensemble learning
Ensemble learningEnsemble learning
Ensemble learning
 
Association Rule mining
Association Rule miningAssociation Rule mining
Association Rule mining
 
Bellman's equation Reinforcement learning - II
Bellman's equation Reinforcement learning - IIBellman's equation Reinforcement learning - II
Bellman's equation Reinforcement learning - II
 
Reinforcement learning in Machine learning
 Reinforcement learning in Machine learning Reinforcement learning in Machine learning
Reinforcement learning in Machine learning
 
E-M Algorithm
E-M AlgorithmE-M Algorithm
E-M Algorithm
 
Entropy and information gain in decision tree.
Entropy and information gain in decision tree.Entropy and information gain in decision tree.
Entropy and information gain in decision tree.
 
Types of Machine Learning. & Decision Tree.
Types of Machine Learning. & Decision Tree.Types of Machine Learning. & Decision Tree.
Types of Machine Learning. & Decision Tree.
 
If statements in C
If statements in CIf statements in C
If statements in C
 

Recently uploaded

The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Akanksha trivedi rama nursing college kanpur.
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
DhatriParmar
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Dr. Vinod Kumar Kanvaria
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Scholarhat
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
Mohammed Sikander
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
chanes7
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdfMASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
goswamiyash170123
 

Recently uploaded (20)

The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Model Attribute Check Company Auto Property
Model Attribute  Check Company Auto PropertyModel Attribute  Check Company Auto Property
Model Attribute Check Company Auto Property
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHatAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdfMASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
 

Applications of A.I

  • 2.
  • 3. Robotic Vehicles  Stanley is an autonomous car created by Stanford University’s Stanford Racing Team in cooperation with the Volkswagen Electronics Research Laboratory (ERL). It won the 2005 DARPA Grand Challenge, earning the Stanford Racing Team the 2-million-dollar prize.  STANLEY is a Volkswagen Touareg outfitted with cameras, radar, and laser range finders to sense the environment and onboard software to command the steering, braking, and acceleration.
  • 4. Robotics Vehicle  Waymo LLC is an American autonomous driving technology development company. Waymo offered the only commercial self-driving car service that operated fully autonomously, without safety backup drivers in the vehicle.  Tesla Autopilot is a suite of advanced driver-assistance system features offered by Tesla that has lane centering, traffic-aware cruise control, self-parking, automatic lane changes, semi-autonomous navigation on limited access freeways, and the ability to summon the car from a garage or parking spot.
  • 5. Speech Recognition Speech recognition is the modern technology used to recognize spoken words and accordingly find information. The words recognized can also be converted into text. ... Major tech giants like Facebook, Amazon, Apple, Microsoft, and Google offer AI-powered speech recognition applications.
  • 6. Autonomous Planning & Scheduling  A hundred million miles from Earth, NASA’s Remote Agent program became the first on- board autonomous planning program to control the scheduling of operations for a spacecraft (Jonsson et al., 2000).  AEGIS (Autonomous Exploration for Gathering Increased Science) is a software suite that will imminently be operational aboard NASA's Curiosity Mars rover, allowing the rover to autonomously detect and prioritize targets in its surroundings, and acquire geochemical spectra using its ChemCam instrument.
  • 7. Gaming  IBM’s DEEP BLUE became the first computer program to defeat the world champion in a chess match when its bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997).  AlphaGo is a computer program that plays the board game Go . It was developed by DeepMind Technologies which was later acquired by Google. AlphaGo is the first computer program to defeat a professional human Go player. Go is known as the most challenging classical game for artificial intelligence ...  F.E.A.R. First Encounter Assault Recon is a first-person shooter survival horror video game developed by Monolith Productions and published by Vivendi Universal Game and Warner Bros. Games.
  • 8. Spam Fighting  Learning algorithms classify over a billion messages as spam, saving the recipient from having to waste time deleting what, for many users, could comprise 80% or 90% of all messages, if not classified away by algorithms.  Facebook uses machine learning and deep learning to detect facial features and tag your friends.  Twitter is using AI to identify hate speech and terroristic language in tweets.
  • 9. Agriculture  Blue River Technology is a California- based machinery enterprise with a focus on designing, producing, and selling computer-vision- based robotics that can be used to aid the agriculture industry.  The company has created a machine called "See & Spray". The machine uses computer vision and artificial intelligence to detect, identify, and make management decisions about individual plants in the farmer's field so that plants which are essential to farmers and consumers are not unintentionally destroyed by herbicides.
  • 10. Agriculture.  Plantix is a mobile crop advisory app for farmers, extension workers and gardeners. Plantix was developed by PEAT GmbH, a Berlin-based AI startup. It can diagnose pest damage; plant disease and nutrient deficiencies affecting crops and can offer corresponding treatment measures.
  • 11. Marketing  AI has the capacity to gather, analyze, and store large data. AI helps marketers easily understand consumer trends and incorporate that knowledge into marketing strategies. ... The use of artificial intelligence marketing allows marketers to reach potential customers and give them easy access to make purchases.
  • 12. Education and Learning  Personalised learning.  Teacher’s aid.  Teaching the teacher.
  • 13. Banking and Finance  HDFC Bank's EVA (Electronic Virtual Assistant) is India's first and largest Artificial Intelligence powered banking chatbot.  Eva uses the latest in AI and Natural Language Processing to understand the user query and fetch the relevant information from thousands of possible sources, all in a matter of milliseconds.
  • 15. Thanks For Watching Reference: Artificial Intelligence A Modern Approach Third Edition Peter Norvig and Stuart J. Russell Next Topic: Agents & Environment. Subscribe Like Share
  • 16. OMega TechEd About the Channel This channel helps you to prepare for BSc IT and BSc computer science subjects. In this channel we will learn Business Intelligence ,Artificial Intelligence, Digital Electronics, Internet OF Things Python programming , Data-Structure etc. Which is useful for upcoming university exams. Gmail: omega.teched@gmail.com Social Media Handles: omega.teched megha_with Subscribe