Artificial intelligence has definitely gone from being a far fetched thought centuries ago to being an indispensable part of human existence today. It endeavors to imbibe intelligence in machines to enable them to enhance the quality of our lives. The systems are expected to adjust to new inputs, perform tasks in an efficient fashion, and process a large amount of data efficiently to take important decisions. In fact, some of the intelligent systems have got intertwined so deeply in our lives that this has led to an AI effect. The AI effect describes a phenomenon that implies the blending of AI so deeply into our lives that it seems like a common concept and not as a form of intelligence. It usually happens once the technology becomes a widely common part of daily life. Therefore, this field opens a lot of avenues for us to know and explore.
Types Of Artificial Intelligence:
There are two major types of Artificial Intelligence:
Type 1: Based on Capabilities:
1.Weak AI or Narrow AI:
Weak AI or Narrow AI is a type of AI which is able to perform a dedicated task with intelligence and efficiency. All the available artificially intelligent systems
belong to this type.
Example: IBM’s Watson supercomputer
General AI is a type of AI that is able to perform any intellectual task with intelligence and efficiency like its human counterpart and is the next stage of development in Artificial Intelligence.
Super AI is a type of AI that is able to perform any intellectual task with intelligence and efficiency better than its human counterpart and is currently a hypothetical concept.
Type 2: Based on Functionality:
This is the most basic form of AI systems that do not have memory-based functionality. These machines cannot infer meaningful data and deduce inferences on the basis of previous experiences.
Example: IBM’s Deep Blue
This is the form of the AI systems that are memory-based and can infer meaningful data and deduce inferences on the basis of the experiences. Most of the existing applications come under this category.
Example: Systems which are based on Deep Learning is trained by using large volumes of training data which is stored in their memory. This serves as a reference for enhanced efficiency in deducing inferences in the future.
3.Theory of Mind:
This form of AI systems are equipped with emotional intelligence and are able to interact efficiently with their human counterparts.Research is going on to manifest this concept into reality.
This seems to be the pinnacle of all the possible developments in AI. These intelligent systems are equipped with self-awareness and have emotions, needs, beliefs, and desires of theirs. This is currently a hypothetical concept.
Advancement in Artificial Intelligence:
Neural Networks are the backbone of advancements in Artificial Intelligence. They define a series of algorithms that process the relationships in data in a manner that is similar to that of a human brain. These networks adapt to the changing input and thus the output criteria need not be changed every time with respect to the input.
Machine learning becomes popular during this time.
3.Present Day(Deep Learning):
Deep learning breakthroughs have drastically changed the dynamics of AI for the better.
Importance of Artificial Intelligence:
1.AI automates repetitive learning and discovery through data:
Systems equipped with artificial intelligence can perform frequent, high volume, computerized tasks reliably and without fatigue.
2.AI adds intelligence:
Artificial intelligence can be considered to be more of an attribute of machines than a stand-alone entity. It is currently used to imbibe the products needed for common use with intelligence.
3.AI adapts through progressive learning algorithms:
Artificially intelligent systems which are capable of learning by themselves with the help of data and algorithms are the current buzz word in the language of technology.AI finds structure and regularities in data so that the algorithm acquires a skill. The algorithm becomes a classifier or a predictor that learns to refine its responses by using the input data.
4.AI analyzes more and more data:
The intelligent processing of large amounts of data is where the essence of automation lies. This can be achieved using neural networks that have many hidden layers. Deep learning models learn directly from the data for which neural networks are needed. The accuracy of the system is directly proportional to the computation power of the system and the amount of data used to train the model.
5.AI achieves incredible accuracy:
Artificially intelligent systems are highly accurate because of neural networks.
1.Advancement in self-driving cars:
The self-driving cars have started emerging as the new mode of transportation and will soon become the way of transportation.
2.The fusion of AI and Robotics:
Incorporation of AI technology and robotics has induced the vision of possessing greater strength, longevity, and endurance in the long term. However, one of the most
important applications of this technology is to help the quality of life for the disabled. Cybernetic limbs that can communicate with the brain can become almost as
useful as natural limbs. It would definitely not be surprising if the artificial limbs become stronger, faster, and more efficient than the natural limbs.
3.Creation of our technical counterparts:
AI will help create fully functional robots that are capable of carrying out more complex tasks in the near future.
4. Artificially intelligent systems might soon become an affordable and indispensable part of our household.
5. There is a possibility of incorporation of facial recognition in all future transactions and authentications.
6.Evolution of digital empathy:
Robots can evolve to become more empathetic and can carry out more efficient interactions with human beings.
Some disadvantages of AI:
Every technological development is an expensive venture and the developments in the field of artificial intelligence are no different.
2.Lack of creativity:
It is very difficult to incorporate creativity in artificially intelligent systems as they require very intensive programming.
The incorporation of automation can increase the complexity of skills required to sustain in the professional sector.
Irrespective of the existence of various perspectives in this rapidly growing field, it is not going to alter the fact that some degree of artificial intelligence has already seeped into our day to day life and blended into our daily dynamics as if it has already been there. The aspect which remains oblivious and yet to be discovered is the degree to which more intricate advancements can take place in the future and what might be possible with it. In spite of such rapid growth, the scope of how much can be incorporated in this concept is expanding incessantly and the wonders of what could be possible in the future do not seem to cease.
This keeps the doors of our imagination wide open for what else the future might hold in store for us.