Artificial intelligence (AI) is the study and creation of intelligent machines that can perform tasks normally requiring human intelligence. Leading textbooks define AI as the study of "intelligent agents" that can perceive their environment and take actions to maximize their chances of achieving their goals. Colloquially, AI refers to machines that mimic cognitive functions associated with the human mind like learning and problem-solving.

2. • Artificial intelligence (AI), is intelligence demonstrated by machines, unlike
the natural intelligence displayed by humans and animals. Leading AI
textbooks define the field as the study of "intelligent agents": any device
that perceives its environment and takes actions that maximize its chance of
successfully achieving its goals. Colloquially, the term "artificial intelligence"
is often used to describe machines (or computers) that mimic "cognitive"
functions that humans associate with the human mind, such as "learning"
and "problem solving".
• Artificial intelligence (AI) refers to the simulation of human intelligence in
machines that are programmed to think like humans and mimic their
actions. The term may also be applied to any machine that exhibits traits
associated with a human mind such as learning and problem-solving.

3. CURRENT A.I. IN
MOBILE

4. AI IN AUTOMOBILES
1. AUTONOMOUS VEHICLES:An autonomous car is a vehicle capable
of sensing its environment and operating without human
involvement. A human passenger is not required to take
control of the vehicle at any time, nor is a human
passenger required to be present in the vehicle at all. An
autonomous car can go anywhere a traditional car goes
and do everything that an experienced human driver does.
2. NUTONOMY: NAVIGATING COMPLEX TRAFFIC SITUATIONS:NUTONOMY’s
technology, nuCore allows for flexible and human-like
vehicle handling (without the error). The software enables
vehicles to navigate even the most complex traffic

5. • 3. AUTOX: SELF-DRIVING GROCERY DELIVERY:The company's vehicles
combine AI software, sensors, real-time cameras and thousands of
test miles, both virtual and real, to ensure safe decisions on the road.
• Currently with a focus on grocery delivery, users can pick items
through their app and have them delivered along with the ability to
browse their vehicle-based mobile store upon delivery.
• 4. DRIVE.AI: TRANSPORTING PASSENGERS ON FIXED ROUTES: The
vehicles are not only autonomous, they also communicate with
drivers and pedestrians within the vicinity, such as displaying a sign
to pedestrians indicating it will wait for them to cross.
• The purpose of the fleets is to transport passengers along fixed
routes that are more easily monitored than personal autonomous
vehicles, which need to stay updated with changes that can impact
driving, such as construction, speed limits, accidents and road
closures.

6. • 5. OPTIMUS RIDE: SUSTAINABLE TRANSPORTATION: The
company's smart, electric vehicles enable the implementation
of more efficient and sustainable cities, freeing up parking,
limiting the amount of cars on the road and
decreasing environmental impact.
• 6. WAYMO: 360-DEGREE PERCEPTION TECHNOLOGY:Beginning
as Google’s exploration of self-driving vehicles, Waymo is now
it’s own company creating driverless vehicles that can safely
deliver people from points A to B.
• With over eight million autonomous miles driven to date,

7. • 7. ZOOX: ROBOTIC RIDESHARING:While some companies are outfitting
existing vehicles with self-driving capabilities, Zoox is creating their own
autonomous vehicles from scratch. The cars are being produced to be a robotic
rideshare vehicle. Similar to current transportation services like Uber or Lyft, a user

8. AI IN INDUSTRY
• 1.Prediction of failure modes: A product that looks flawed may still
do its job perfectly well. The way we observe objects and flaws is
biased and many things may be different than they seem. With vast
amounts of data on how products are tested and how they perform,
artificial intelligence can identify the areas that need to be given
more attention in tests.
• 2.Predictive maintenance:Technologies such as sensors and advanced
analytics embedded in manufacturing equipment enable predictive
maintenance by responding to alerts and resolving machine issues.
• 3.Generative design: Generative design is a process that involves a
program generating a number of outputs to meet specified criteria.
Designers or engineers input design goals and parameters such as
materials, manufacturing methods, and cost constraints into

9. • 4.Environmental Impact : AI could help to transform manufacturing by
reducing, or even reversing, its environmental impact. AI can support
developing new eco-friendly materials and help optimize energy efficiency –
Google already uses AI to do that in its data centres.
• 5.Making use of data: Supply chain management, risk management,
predictions on sales volume, product quality maintenance, prediction of
recall issues – these are just some of the examples of how big data can be
used to the benefit of manufacturers. This type of AI application can unlock
insights that were previously unreachable.
• 6.Price Forecasts: The system is able to provide accurate price
recommendations just like in the case of dynamic pricing that’s used by e-
commerce businesses like Amazon where machine learning algorithms
analyse historical and competitive data to always offer competitive prices
and make even more profit.
• 7.Customer service: he software allows service providers to quickly identify

10. AI IN HOMES
• Smart Homes makes use of AI, and Internet of Things (IoT)
devices such as connected sensors, lights, and meters to collect
and analyse data. This data is used in making the effective use
of home infrastructure, utilities and more to ease up the
everyday life effectively and efficiently.

11. 1. GOOGLE HOME ASSISTANT
Google Assistant offers voice commands, voice searching, and voice-activated device control, letting you
complete a number of tasks after you've said the "OK Google" or "Hey Google" wake words. It is designed
to give you conversational interactions. Google Assistant will: Control your devices and your smart home

12. 2. BIXBY HOME ASSISTANT
• You must hit the Bixby button or say the wake work to use
these commands, which all make logical sense, fitting with the
outlined aims that Samsung originally set out for Bixby. It's
easy to ask it to do things like changing the volume or
increasing the brightness of the phone. Generally, when it
comes to device control, Home all Devices Control , Bixby is
very good, as it is with composing messages for you, or
reading incoming messages. etc.

13. Alexa works as a smart-
home controller, so it can
recognize and work with
multiple devices from
multiple manufacturers.
An Alexa device such as an
Echo or Echo Spot is an
example of such a
controller.
Devices Alexa can control
(like thermostats,
speakers, TVs, and so on)
just have to be compatible

14. SOME AI PROJECTS:

15. FUTURE
OF
ARTIFICIAL
INTELLIGENCE

16. • Digits written by humans vary a lot in curves and sizes as they
are hand-drawn and everyone’s writing is not the same.
• It is a great way to start artificial intelligence by building a
handwritten digits recognition system that can identify the digit
drawn by humans.

17. Lane line detection technique is used in many self-driving
autonomous vehicles as well as line-following robots.
We can use computer vision techniques such as colour
thresholding to detect the lanes.

19. Every day we get dozens of email notifications and most of them are spam.
Build a tool that can classify the emails as spam or non-spam based on the content of the email

21. Doctors use Chest X-rays to detect Pneumonia and we can build an artificial intelligence system
that is capable of identifying the infection in patients’ X-ray images.

23. A chatbot system that can negotiate the
price of the products.
Many eCommerce companies are
researching on this project as it has a lot
of scope in business.
The chatbot should be able to
communicate with users and handle the
bargaining of customers just like in the
real world.
ALSO PROTECT FROM FAKE PRODUCT:A big
problem on the internet is that companies
post fake reviews to sell their products or to
disturb their competitors.
A user has no idea if a product review is fake
or genuine.
To solve this problem, we can build a system
that can track the IP addresses and use
opinion mining to find out the fake reviews.