Using CC in Face Detection can really help with security threats. Especially with iPhones as an example. As we learn before, combining Information and computing can help better examine the issues and come up with better solutions. As we see in today's generation, Apple has used the power of CI and CC to create in-house built chips that help better optimize security as its neural engines can help detect unknown threats such as face detection. Overall CI and CC are showing it a powerful tool to use and may become a must in all new devices.
Industry or Domain: Professional, scientific and technical services
Description: A Face detection application that uses Cognitive Computing to detect faces in mobile devices to unlock phones. Furthermore use face detection for secured location with limited access.
Areas Used?
Science Labs, and personal devices such as phones, tablets, and laptops.
platform: Cloud AI using Tensor Flow
School Chat Bot
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Using Cognitive computing we can look into HCI or Human-Computer Interaction to determine if the solution is viable to the consumers using it. With multiple feedback, we know that a system can use the objects to determine the relationship between the user and the chatbox to help increase the better solutions to users' questions.
Industry or Domain: Educational services
Description: Implement a chat bot system for schools so that students can get quick replies to finding directions to classes or find information about a particular thing they require assistant with and also help reach people they need to get into contact with.
Subtopic
Area used? Schools or Universities for both Students and Faculty members.
platform: Watson
Check notes for full description on how previous part of assignment relate to this application.
Check notes for full description on how previous part of assignment relate to this application.
