Artificial intelligence(AI), Giving intelligence to Machines.
Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. And we humans did achieve most of what we can from machines.
Now the need of humans growing and humans are trying to bring intelligence into the machine so that they can behave the way a human did. And we gave a name to that particular machine as artificial intelligence.
How AI gonna look like in future:
It’s a bit ambiguous regarding the looks of AI.
It could be:-
- A machine
As Mary “Missy” Cummings, Director of the Humans and Autonomy Lab (HAL) at Duke University, said
Artificial intelligence and robotics are coming into our lives more than ever before and have the potential to transform healthcare, transport, manufacturing, even our domestic chores.
And co-chair of the Global Future Council on Artificial Intelligence and Robotics, says the technology will work best in collaboration with humans. While cab drivers may fear for their jobs, she envisages a worldwide shortage of roboticists in 2030.
Definition – What does Artificial Intelligence (AI) mean?
According to the father of Artificial Intelligence, John McCarthy, it is “ The science and engineering of making intelligent machines, especially intelligent computer programs”.
AI Venture Explains AI :
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of machines having intelligence that work and react like humans. AI is designed to have the most predominant capabilities that humans equipped with like-
AI is accomplished by studying how the human brain thinks, and how humans learn, decide, and work while trying to solve a problem. Using the outcomes of this study as a basis for developing intelligent software and systems. Knowledge engineering is a core of this whole AI. If a machine has abundant information relating to the world and has the processing power to process this information. Then a machine can often act & react like humans. So Perception and interception of the knowledge(Data) make the machine intelligent.
Types of Artificial intelligence:
- Narrow AI
- Artificial General Intelligence (AGI)
- Superintelligent AI (ASI)
Narrow AI, which is nothing more than a specific domain application or task. That gets better by ingesting further data and “learns” how to reduce the output error. An example here is DeepBlue for the chess game, but more generally this group includes all the functional technologies that serve a specific purpose. These systems are usually quite controllable because limited to specific tasks.
When a program is instead not programmed for completing a specific task. But it could eventually learn from an application and apply the same bucket of knowledge to different environments, we face an Artificial General Intelligence (AGI). This is not technology-as-a-service as in the narrow case, but rather technology-as-a-product.
The best example for this subgroup is Google DeepMind, although it is not a real AGI in all respects. We are indeed not there yet because even DeepMind cannot perform an intellectual task as a human would. In order to get there, much more progress on the brain structure functioning, brain processes optimization, and portable computing power development have to be made.
Superintelligent AI (ASI):
This intelligence exceeds largely the human one, and it is able of scientific and creative thinking; it has social skills and maybe an emotional intelligence. Although we often assume this intelligence to be a single supercomputer, it is more likely that it is going to be made by a network or a swarm of several intelligences.
Goals of AI:
- Create Expert Systems:- The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users. eg: Alexa, Siri, Google assistant.
- Implement Human Intelligence in Machines:– Creating systems that understand, think, learn, and behave like humans.