Introduction to the Various Applications of AI

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Artificial Intelligence can be used and applied over a breadth of fields. It is seen in assistive technologies like Siri or Alexa and in sensors on Teslas. There are a few main Deep Learning Applications included but now limited to:

Marketing: provide marketers with a deeper knowledge of consumers and prospective clients, enabling them to deliver the right message, to the right person, at the right time.

• Banking and Finance:  brings the power of advanced data analytics to combat fraudulent transactions and improve compliance. ... 

• Agriculture: aids in detecting diseases in plants, pests, and poor plant nutrition on farms 

• HealthCare: is the use of complex algorithms and software in other words artificial intelligence (AI) to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.

• Gaming: used to generate responsive, adaptive or intelligent behaviours primarily in non-player characters (NPCs) similar to human-like intelligence

• Autonomous Vehicles: are equipped with multiple sensors, such as cameras, radars and lidar, which help them better understand the surroundings and in path planning.

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When developing AI or Machine Learning Projects in any of these various fields or more, a helpful resource to get started is the website AIResurces. It is a directory that supplies open-source software data for the AI research community. It is an actively growing database that has easy to find open access data, open-source software and code for building Artificial Intelligence systems. Users are free to submit work to be published after being reviewed by their team.

Resource Types Included : 

•  Code

•  Data

•  Project

•  Service

•  Library

•  Application