Artificial Intelligence Applications: Autonomous Vehicles
For the longest time, self-driving cars have been a buzzword in the AI industry. The development of autonomous vehicles will definitely revolutionaries the transport system.
Companies like Waymo conducted several test drives in Phoenix before deploying their first AI-based public ride-hailing service. The AI system collects data from the vehicles radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle.
Advanced Deep Learning algorithms can accurately predict what objects in the vehicle’s vicinity are likely to do. This makes Waymo cars more effective and safer.
Another famous example of an autonomous vehicle is Tesla’s self-driving car. Artificial Intelligence implements computer vision, image detection and deep learning to build cars that can automatically detect objects and drive around without human intervention.
Elon Musk talks a ton about how AI is implemented in tesla’s self-driving cars and autopilot features. He quoted that,“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 next year”.
Artificial Intelligence Applications: Chatbots
These days Virtual assistants have become a very common technology. Almost every household has a virtual assistant that controls the appliances at home. A few examples include Siri, Cortana, which are gaining popularity because of the user experience they provide.
Amazon’s Echo is an example of how Artificial Intelligence can be used to translate human language into desirable actions. This device uses speech recognition and NLP to perform a wide range of tasks on your command. It can do more than just play your favorite songs. It can be used to control the devices at your house, book cabs, make phone calls, order your favorite food, check the weather conditions and so on.
Another example is the Google’s virtual assistant called Google Duplex, that has astonished millions of people. Not only can it respond to calls and book appointments for you, but it also adds a human touch.
The device uses Natural language processing and machine learning algorithms to process human language and perform tasks such as manage your schedule, control your smart home, make a reservation and so on.
Artificial Intelligence Applications: Social Media
Ever since social media has become our identity, we’ve been generating an immeasurable amount of data through chats, tweets, posts and so on. And wherever there is an abundance of data, AI and Machine Learning are always present.
In social media platforms like Facebook, AI is used for face verification wherein machine learning and deep learning concepts 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. On the other hand, Machine learning algorithms are used to design your feed based on your interests.
Another such example is Twitter’s AI, which is being used to identify hate speech and terroristic language in tweets. It makes use of Machine Learning, Deep Learning, and Natural language processing to filter out offensive content. The company discovered and banned 300,000 terrorist-linked accounts, 95% of which were found by non-human, artificially intelligent machines.
