Artificial intelligence is one of the rapidly emerging technologies which has almost left everything behind. which is an enormous branch of computer science concerned with making machines capable enough to perform human tasks along with its intelligence.
Not many of you are familiar with what Artificial intelligence is, it is indicated by the new brilliantly developed advanced technique of human intelligence programmed in machines, that made machines think like normal human beings and mimic their actions. And the term was suggested by John McCarthy in 1950.
Additionally, this term can be used for any machine which possesses these characteristics linked with human instincts more like learning and analytics. AI is an interdisciplinary science with several approaches, but it has made an advancement shift in almost every sector of tech with its new machine learning technology.
The main thing these AI programs are focusing on these 3 developing skills are learning, reasoning, and self-correction.
- Learning processes.
This program pays attention to the department which gathers data and assigns new rules to transform data into the executing information. These regulations of making data into actionable information are called Algorithms, given by devices to compute the instruction on completing a specific task.
- Reasoning processes
This purpose of AI serves the function of finding an accurate algorithm for the desired outcome.
- Self-correction processes
This an automatic repairing program found in these algorithms to fine-tune them and make sure of the provided data results in a possible outcome.
Advantages and disadvantages of artificial intelligence
Artificial intelligence has so many advantages that we barely can count on our fingers, following some of them.
- Advantages:
- AI gives you less rate of errors as compared to any humans if it is programmed correctly. They have better precision, accuracy, and speed.
- Unfriendly environments can not affect them, thus they are capable of doing any work either easy or difficult such as exploration.
- These are even capable of performing hostile tasks such as digging and mining which are very difficult for humans.
- This technology also helps many industrialists to replace their human staff with a team of professionally working robots. Replacing them as repetitive, tedious tasks, and many laborious places of work.
- Efficient in knowing about what users will ask, search, and do. Easily replace your assistant as well or help you with more prominent actions.
- A little idea of what exactly artificial intelligence is in our smartphones.
Now let’s go and see the disadvantages:
- Disadvantages:
- An enormous amount of money is required to make this technology happen from scratch along with time to building, rebuild, and repair. The main purpose of this robotic technology was to reduce human precious time but if this thing will not work properly then there’s no point in saving time because these machines take more time in their repair. Along with extra money for that.
- Can cost a lot of money and time to build, rebuild, and repair robotic machines.
- The most prominent question that has been asked today is it ethical to recreate this human intelligence or whether nature shouldn’t be recreated.
- This intelligence demands expensive storage and in return when we go further for access and retrieval doesn’t work efficiently as humans can.
- Their intelligence of learning can be better if they are coded to do it, but still questionable that no matter how much we improve their performance they can be good as humans.
- Limited options for work due to feeding in the program.
- They cannot work outside of what they were programmed for.
Difference between Strong AI Vs. Weak AI
Artificial intelligence typically falls under two broad categories:
Weak AI is also termed as narrow AI since the Weak AI system has been planned and instructed to finish a particular task. Examples of Weak AI can be virtual assistants and Apple’s Siri.
However, Strong Al is the artificial general intelligence (AGI), which means these are capable enough to explain programming which can replicate cognitive brain skills. On the other hand, when these are introduced to some unfamiliar task they can search for options from one domain to another and are efficient enough to get the solution separately.
We get to know that in theories strong AI is efficient to pass a couple of tests. Turing and Chinese room test.
Listing down some simple examples of AI
- Virtual assistants ( Siri, Alexa, robots)
- Good observant and predicts well.
- More manufacturing and drone robots.
- Offers more treatment recommendations
- Bots which helps in marketing and promotional stuff.
- These can also help you in advice about stocks
- Recommendation for songs or TV shows.
Augmented intelligence vs. artificial intelligence
There is no doubt that artificial intelligence has already started to take over the work but still, not many people are aware of the fact that AI is not exactly like the current popular culture, which in turn has made many high expectations of the public, however, the AI is implemented as narrow AI to improvise services and products that’s why it is preferred by many marketers and researches to label it as augmented intelligence which is more neutral in terms of its services.
Artificial General Intelligence
It is believed that AGI has been an extensive muse fantasy of dystopian sci-fi, making the super intelligence of machines to overrun humans and their work, however, it has been preferred by the experts it is too soon have such thing and worry about it.
Although the difficulty of making machines in comparison to humans plus being fully equipped with human cognitive skills has been a complicated task of all time and as time passed it has been difficult. But having said that AI researchers believe it is a holy grail for humans of the future to imply any task on these robots.
Artificial Intelligence Being Used In Ethical Way
AI tools offer a wide variety of tasks when it comes to their program and functioning but since everything can be used until its violated, so ethical use of artificial intelligence is also necessary. However, AI tools can be difficult while enabling the machine to learn algorithms which unveils several advanced tools of AI, and AI function can improve by feeding the data of the desired task yet sometimes these input results can be based on the fact that these are being fed by humans but proper monitoring is always required.
Components of AI
AI is the foundation of a gigantic number of software and hardware incorporated with an enormous amount of data for their learning and training purposes but vendors refer to the main component of AI as machine learning.
Not many programming languages are synonymous with AI functions, but there is an exception of a few, including Python, R, and Java, which are popular.
AI as a service (AIaaS)
The setup of AI from scratch can be very expensive from hardware, and software to staffing costs. An exception, AIaaS is an AI service platform with its standard offering and provides complete access to it. It also allows multiple companies to experiment with AI and offer several sample platforms before committing.
The following are the hubs offering this service.
- Amazon AI
- IBM Watson Assistant
- Microsoft Cognitive Services
- Google AI
Four types of artificial intelligence
Arends Hintze explained in a 2016 article that AI can be categorized into four types, which means that being the task-specific intelligent systems in regular use nowadays to growing into sentient systems, which do not exist yet.
The categories are as follows:
- Type 1: Reactive machines
These AI systems have no memory and are task-specific.
- Type 2: Limited memory
These have memory, so they can use past experiences to inform future decisions.
- Type 3: Theory of mind
Theory of mind is a psychological term means when applicable to AI, the system would have the social intelligence to understand emotions.
- Type 4: Self-awareness
This AI system doesn’t exist yet but means a sense of self, which gives them consciousness that allows Machines to understand their current state.
Is Cognitive Computing and AI the same?
A lot of people consider cognitive computing and AI interchangeable, which is not because AI is a reference to machines that are capable of replacing human intelligence with their cognitive skills such as sense, learning and processing, and how we react to different environments. However, cognitive computing is a label used for referencing products and services mimicking and increasing human processing.
Examples of AI technology
AI has vast incorporation in different types of technology. Here are six examples:
- Automation
- Machine learning
It has three types of algorithms:
- Supervised learning.
- Unsupervised learning.
- Reinforcement learning.
- Machine vision.
- Natural language processing.
- Robotics.
- Self-driving cars.
Applications of AI
Artificial intelligence is now being used in a wide variety of markets. Listing down the examples.
- AI in healthcare
- AI in business
- AI in education
- AI in finance
- AI in law
- AI in manufacturing
- AI in banking
- AI in transportation
- AI in security
Regulation of AI technology
Even though AI is growing rapidly and is almost present in every leading corporation but still it recently has some regulations which limit its extensive use because of its opaque and unexplainable nature to every person.
Wrapping Up
This AI technology is learning and evolving quickly because AI provides a large number of data at a fast speed and helps in making predictions more rapidly than any human could do. AI researchers are busy producing a huge volume of data daily and making this technology as smart as it could get. But a lot of money is required in this AI programming which turns out as the only big shortcoming to making it a revolutionizing technology.
