Applications of Weak AI

 When it comes to the question of weak AI vs strong AI, weak AI has more applications in different disciplines because of its easy-to-create ability. Some of the applications of weak AI are as follows:

1. Natural Language Processing

NLP is a branch of AI that studies how computers and languages people speak interact. NLP employs weak or narrow AI systems to perform sentiment assessment, text production, and translating languages.

2. Financial Sector

In the finance sector, artificial intelligence is utilized for projects like credit assessment, identifying fraudulent transactions, managing portfolios, and forecasting financial results.

3. Robotics

Robotics uses weak AI to guide the motion and behavior of its machines. This covers grasping, establishing a path, and recognizing objects (valuable for automating business processes).

4. Gaming

AI is applied to video games to create smarter character designs and offers specialized experiences for players.

5. Image and Video Processing

Weak artificial intelligence (AI) models process images and videos for applications such as detecting objects, segmenting images, and recognizing facial features.

6. Healthcare Industry

Weak AI in healthcare is responsible for various tasks, including disease diagnosis, clinical results prediction, development of drugs, and individualized therapy planning.

7. Transportation 

In transportation, weak artificial intelligence optimizes routes, improves traffic efficiency, and reduces fuel consumption.

Examples of Weak AI

Some examples of weak AI are as follows:

• Cars like Tesla with self-drive technology
• Voice assistants like Alexa, Google, Siri and more
• Google Maps
• Chatbots like ChatGPT, Brad, etc.
• Recommendation systems like Amazon, Spotify, Netflix, etc.
• Spam Filters on Email

• Advantages of Weak AI

  If you are comparing weak AI vs strong AI, you might see that weak AI holds more advantages in the technology field. Some of the advantages of weak AI are as follows:

  1. Faster and Accurate Decision Making: They enable improved decision-making by processing data and completing tasks far more swiftly than human beings. They enable us to increase total production and efficiency, which raises the standard of living. 
  2. Complete Mundane Tasks: The advancement of weak AI has spared humans from several tedious, repetitive, and everyday tasks. It has streamlined our daily activities, from using Siri to place online food orders to lowering the work required to process large amounts of data to produce solutions.
  3. Forecasting Results: Weak AI algorithms can also do forecasting analyses based on received inputs. When supply chains fail, AI foresees revenue projections and manages the purchase of expensive materials and long-lead-time components. A weak AI can actively link the outcomes of quality assessments to the real-time analysis of huge quantities of sensor data.

  4. Limitations of Weak AI

     Some of the limitations which weak AI poses are as follows:

     1. AI systems without broad intelligence cannot complete tasks they were not developed, as they cannot adapt.
     2. Weak AI systems cannot adapt to new contexts or tasks; they are restricted to the particular duties for which they were created.
     3. Weak AI systems need more human intelligence’s capacity for creativity and the ability to develop novel concepts.