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.
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
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