Artificial Intelligence in the Real World
Most people think of robots and perhaps Arnold Schwarzenegger from his titular role as the Terminator when they consider artificial intelligence. In the Terminator, a rogue AI called Skynet had determined humanity needed to be wiped out, and during the film, much death and destruction ensued. In reality, and fortunately, AI is nowhere near this capable.
Currently, we use AI for several different purposes:
- Adding intelligence – AI adds smart capabilities to devices like phones and speakers. This helps improve our lives in and around the home and removes tedious work.
- Automating repetitive tasks – AI can perform the same task repeatedly without requiring a break or getting bored.
- AI data analysis – AI, when paired with big data, is capable of analyzing data faster and in greater depth. This lets companies find patterns that would not have otherwise been obvious, improving their competitive advantage.
- AI can learn – AI is capable of learning and gaining new skills. AI algorithms can use machine learning to advance and grow progressively better at tasks without being directly programmed. For those looking to enhance their AI’s learning abilities with diversified and extensive image datasets, Clickworker’s image dataset collections could be pivotal. AI algorithms are now able to beat the world’s greatest chess masters.
High quality AI training data sets to train AI algorithms can be ordered at clickworker. For specific needs such as audio datasets and voice datasets for speech recognition training, you may find these resources particularly useful.
Artificial Intelligence in the World of AI
There are different types of AI, but to date, we have only seen one. The different types are narrow or weak AI and general or strong AI. Many people assume that algorithms like Siri, Alexa, Google Assistant, and Cortana are examples of AI, but they are only examples of weak AI in reality.
Weak or Narrow AI
With this type of AI, the function is very goal-oriented. This could include services like image and facial recognition, voice assistance, internet searches, or more. One specific area where AI excels is in audio annotation, which is critical for developing technologies like voice assistants. This type of AI is extremely capable within the narrow envelope it has been given.
For a more in-depth understanding of how AI can process visual data, see this guide on image transcription. Weak AI does not mimic human intelligence. It performs a specific function within precise parameters and can only complete particular tasks.
General or Strong AI
In contrast to weak AI, Strong AI has the ability to mimic and emulate human intelligence and action. It can learn from experiences and interactions. There are no examples of strong AI at the current time, and with our current levels of technology, it is not something we are likely to achieve soon.
