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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, self-driving cars, uses AI to implement computer vision, image detection and deep
learning to make cars to 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 “robo taxi” version—one that can ferry passengers without anyone behind the wheel—ready for the
streets next year”.
• AI in Assistance: Virtual assistance has become a very
common technology that can be found in most of our
houses, that can control our homes. Amazon Alexa, Apple’s
Siri, 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. In social media platform like
Facebook, AI is used for face verification wherein
machine learning and deep learning is 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 interest. 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 Leaning is a subset of machine learning composed of algorithms that permits software 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 artificially intelligent
machine tries to create music and art. MuseNet, a deep neural
network that can generate 4 minutes 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 exciteful narratives.
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