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Advanced deep learning algorithms can accurately predict what objects in the vehicle's vicinity are likely to be,
making it safe. Tesla, a company known for self-driving cars, uses AI to implement computer vision, image
detection, and deep learning to make cars that automatically detect objects and drive without human
intervention. Elon Musk, CEO of Tesla Motors says ”Tesla will have fully self-driving cars ready by the end of
the year and a 'robotaxi' version—one that can ferry passengers without anyone behind the wheel—ready for
the streets”.
• AI in Assistance: Virtual assistance has become a very
common technology that can be found in most of our houses
and can control our homes. Amazon Alexa, Apple’s Siri, and
Microsoft Cortana are gaining popularity because of the user
experience they provide. Amazon Echo is an example of how
AI can be used to translate human language into desired
actions. This device uses speech recognition and NLP to
perform an ever-growing range of tasks on your command. It
can play your favourite song, control your smart device, book
cabs for you, order your favourite food, check weather conditions, etc.
• Social Media for Serving Personalised Experience:
Since social media has become our identity, they have
been generating innumerable amounts of data through
chats, tweets, and posts. On social media platforms
like Facebook, AI is used for face verification wherein
machine learning and deep learning are used to detect
facial features and tag your friends. Deep learning is used
to extract every minute detail from an image by using a
bunch of deep neural networks. Machine learning algorithms are used to design your feed based on your
interests. X (formerly known as Twitter) is using AI to identify hate speech and terrorist language in tweets. It
uses machine learning, deep learning, and NLP to filter out offensive content. Deep learning is a subset of
machine learning composed of algorithms that permit software to train itself to perform tasks, like speech
and image recognition by exposing multi-layered neural networks to vast amount of data.
• AI in Artificial Creativity: Imagine, an AI machine tries to create
music and art. MuseNet, a deep neural network, can generate
4-minute compositions with 10 different instruments and can
combine styles. Another creative product of AI is Wordsmith, a
content automated tool. Wordsmith is an AI-powered tool that
produces written analytics by transforming the given data. It uses
NLP to transform your data into exciting narratives.
Advantages of AI
The following are the advantages of AI:
• Increased Automation: AI can be used to automate anything, ranging from tedious tasks to the process of
recruitment of employees. There are AI-based applications that can be used for the hiring of new recruits. Mya,
is an AI app that automates tedious parts of the recruitment process such as sourcing, screening and scheduling.
AI Reflection, Project Cycle and Ethics 185

