Being the most searched topic of the year. Artificial Intelligence is the Intelligence that is being taught to the machines. Machines after being taught start using this Intelligence and mimics like the humans' act.
Artificial Intelligence can be breakdown into its ability to rationalizing things and it can take actions onto the given sort of knowledge through programming. Artificial Intelligence is an idea that is based on the human mind as computer scientists are making machines to learn and analyze things with the help of programming.
Artificial Intelligence is taking over the world as many of the manual things are moving towards an automation while the world is changing very fast. The AI bot created and given residence in Saudi Arabia is known as "Sophia".
Sophia, the humanoid robot was created by "Hanson Robotics (Hongkong)". Sophia is known for her human-like appearance and the change in behavior as of the previous robot variants. Sophia uses "Artificial Intelligence", "Visual Data Processing" and "Facial Recognition". Sophia was successfully activated in 2016.
Sophia has been taught 50+ expressions and she is able to answer many of the questions to start conversations on predefined topics (eg. on weather forecast). She is also equipped with voice recognition (speech-to-text) technology.
Her AI program helps her to extract data that allows her to improve responses in future and it helps her to get smarter and smarter over time.
Sophia was modeled after the British actress, Audrey Hepburn. Audrey was a British actress, model, dancer and humanitarian. She was recognized as the film and fashion icon. Audrey was proactive at the Golden era of Hollywood.
Hanson chose her as the model robot because of her facial characteristics and beauty.
Cameras in the eye's of Sophia are attached with the help of algorithms that help her to analyze the surroundings. She can follow faces, can maintain eye contact and can recognize the individuals.
Sophia, the first humanoid robot was given the citizenship of Saudi Arabia and she had been recognized as the resident of the Kingdom of Saudi Arabia. She has seven humanoid siblings:
- Alice
- Albert Einstein Hubo
- BINA48
- Han
- Jules
- Professor Einstein
- Philip KD Android
MYTH#1 | Artificial Intelligence Will Replace Human Jobs
Many people around the world fear that Artificial Intelligence will eat their jobs. as Artificial Intelligence is taking over the world like every of the task is moving towards automation.
Actually, we forget that Artificial Intelligence is created for humans, not to get overruled by machines.
Additionally, technologies like the barcode scanner and ATM (automated teller machine) were introduced also sparked the fear of job risk in the people at that time. Instead, industries improved and created new jobs for the people.
Artificial Intelligence will create new roles and job categories for employees to work in more efficient and accurate manner.
MYTH#2 | Artificial Intelligence Will Takeover The World
"Go! Talha, get me some oil.", Robot said
"Why?!", Talha replied
"I'll stop giving you food and water if you do not go in 5 minutes.". Robot said
Whoop...! That's a nightmare.
Actually, This won't happen at all. Artificial Intelligence doesn't come with the emotions and thoughts, there is no way "Artificial Intelligence" will rule the world. It cannot function without the human. Machines are not able to think the way humans can do. In contrast, Machines also have a positive effect on society by assisting people in many fields like business modeling and structuring.
Actually, This won't happen at all. Artificial Intelligence doesn't come with the emotions and thoughts, there is no way "Artificial Intelligence" will rule the world. It cannot function without the human. Machines are not able to think the way humans can do. In contrast, Machines also have a positive effect on society by assisting people in many fields like business modeling and structuring.
We will not see AI Revolution but we will see Technological Revolution from which the society take benefit.Artificial Intelligence has solved many problems that are not solved by humans certainly. It means that we will be having a smart computer that will be equipped with Artificial Intelligence helping us to learn new things and skills.
MYTH#3 | Artificial Intelligence Can Figure Any Of Your Data
The nature of information could really compare to the calculation. The most critical contribution for an AI tool is data — not simply any information, however, the correct information. That implies data applicable to the issue being explained and particular to an arrangement of cases and an area of information. Numerous individuals in the innovation business mistakenly guarantee an AI arrangement can be pointed at information and the correct answer will be created by great machine learning calculations.
No! Artificial intelligence can't understand information that is excessively expansive or has not been handled in a way making it absorbable by the framework. The AI framework needs excellent data and substance. A calculation is a program, and projects require great information. Having the correct information could really compare to the calculation.
No! Artificial intelligence can't understand information that is excessively expansive or has not been handled in a way making it absorbable by the framework. The AI framework needs excellent data and substance. A calculation is a program, and projects require great information. Having the correct information could really compare to the calculation.
MYTH#4 | Super Intelligence Has Arrived
There is a great deal of exceptionally respected individuals, who can't quit cautioning everybody about the AI end times, the Singularity, the entry of Superintelligence or Artificial General Intelligence (AGI). To be reasonable, it is difficult to effectively anticipate what will occur, when a machine is more astute than its maker out of the blue. However, there is as yet far to go until at that point.
From an achievability perspective, AGI lies somewhere close to colonizing Mars and transporting (which is physically inconceivable, to the extent we know today). For the previous, we practically recognize what challenges we need to defeat to get it going, e.g., fabricate more productive rockets and figure out how to develop sustenance economically. With regards to AGI, there is no such arrangement. No one knows, which extra difficulties we need to defeat until the point when we achieve AGI, however, we additionally realize that it isn't physically incomprehensible. Anyway, we ought not to fear being toppled by the machines tomorrow.
MYTH#5 | Artificial Intelligence Has Human Characteristics
Truly, it's ready to perform all of what we can improve the situation a specific employment, yet it doesn't mean it likewise has human characteristics and attributes. Surely, there are programs highlighting a touch of feeling and identity, similar to iOS Siri and Amazon Alexa, however, they're just wired to react in certain ways. It's not natural.
The software is just used to play out specific errands, and nothing more. Most likely, bunches of them have particular, enchanting qualities, however, this is on account of they were introduced with it. What's more, when any of these AI gadgets disclose to you they "like you," it's not genuine love. They were programmed to disclose to you that.
MYTH#6 | Neural Networks Resembles The Human Brain
Regularly, the intensity of artificial NNs (Neural Networks) is supported with the explanation that they work simply as the human mind. Making reference to this amid a transformation with somebody having extensive experience with science will presumably make him feign exacerbation.
Natural NNs with neurons as the center unit is unfathomably unpredictable frameworks we are simply beginning to get it. They exist in a wide range of physical structures, satisfying diverse assignments in the human body, e.g., going about as a sensor or engine. Neurons transmit data and store its internal state through electrical heartbeats and its electric potential. At the point when a specific potential limit in the cell body is outperformed, the neuron is releasing itself through an action potential, transmitting data to adjoining neurons. This transmission can occur in a standard spiking, quick spiking, or blasting design.
In NNs, a neuron looks at the weighted aggregate of its data sources (activity capability of nearby neurons) to its predisposition term (edge potential). In the event that the thing that matters is certain, the neuron sends the data through a non-linearity or actuation work (endeavoring to mirror the activity capability of a natural neuron). That is most likely the most distant we get with that relationship. Other than missing a portion of the more perplexing capacity, NNs don't approach the execution of the human mind. Particularly with regards to productivity, our cerebrums are light-years from anything human-made.
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