Difference between sane and intelligence
Sane is something like being able to function to the level considered good or normal enough by the society. (Insane - being unable to function like sane.)
Intelligence is the ability to apply and acquire skills and knowledge .
And now you might ask about Artificial Intelligence.
Artificial intelligence is simply something like applying and acquiring knowledge and skills with the help of a computer aided devices. That means, applying knowledge by the machines. And also to get knowledge by the machines.
What is the use of artificial intelligence and robotics?
Then you might have to know the differences between robotics and AI(artificial intelligence)First we must know the terms and by the by we will be able to differentiate between them.
What is robotics in simple words?
Robotics is a part of Science and Engineering. It refers to the building and creation of robots. As well as it has computer programming. Some robots may look like humans.But most of them look like machines. Robotics came from the word robot. Which in turn came from the Slavic word robota. Robota means labor or work.
What are robotics used for?
Robots are widely used in such industries as automobile manufacture.Because to perform simple tasks again and again. And in industries where a work is in environments harmful to humans.
What is the concept of robotics?
Robotics is a branch of science and engineering . It involves the manufacture , design,operation and conception of robots. This field deals with computer science ,artificial intelligence,electronics, mechatronics ,bio engineering and nanotechnology. And also robots must never harm human beings.
Applications of Artificial Intelligence
First of all,
AI has tremendous use in healthcare.Quick diagnosis development are the new challenges . Artificial Intelligence would efficiently operate without human supervision on patients. Such technological surgeries are already done.IBM Watson is an excellent healthcare technology .
AI in business
would tremendously save effort and time . There is already an application of robotic automation into human business tasks. Again Machine learning algorithms help in better serving customers. Chat-bots provide immediate service and response to customers.
AI can certainly
make education more efficient. AI technology can discover the needs of students. Then it can adapt according to their needs. AI tutors provide study help to students. Also, AI can automate grading which results in saving a lot of time.
AI can increase
the rate of work in manufacturing greatly. Manufacturing a huge number of products can done with AI. Furthermore, the entire production process and rate can be done without human involvement. A lot of effort and time is saved.
Artificial Intelligence
has applications in various other fields. Such as finance,military,audit , government, ,law,automotive, art, video games, etc. And in almost every phase.
To sum it up,
Artificial Intelligence seems to be the future of the World. Experts believe AI would certainly become a part and parcel of human life soon. AI would completely change the way we view our World. With Artificial Intelligence, the future seems exciting and intriguing .
By reading the above I believe that you must have got an idea about the differences between AI and Robots. AI can be used in Robots and in other machines. But robots can run without AI technology.
How important will artificial intelligence be for the medical industry by 2030?
Business analysts estimate that artificial intelligence could add $15.7 trillion to global GDP by 2030. According to industry experts, the healthcare AI market is set to undergo a compound annual growth rate of 40% by 2021, improve healthcare outcomes by 30-40%, and cut treatment costs in half. [from google]
Why Artificial Intelligence adoption throughout the industry is increasing?
AI offers a great potential for industry. It is already making production more reliable,more efficient and more flexible . The data volumes in production environments are the base on which digital representations of entire sites and systems are generated.
Where and what do you need to develop your knowledge in artificial intelligence as a entrepreneur?
Beginning,
hire talented and experienced teams, and who are successful at selling AI not as a technology but rather as a means to the best solutions.
Understanding the problems of business
which you are solving is as important as your algorithms.Your business customers are not looking for technology , they want solutions to solve their problems.
Is the market ready to support your solution?
Are industry stakeholders willing to adopt AI? Do they agree with you on the value of potential benefits?Get these answers by yourself from business customers.
Your data strategy ,
Develop the data strategy of you own company from the day one. Learn thoroughly, AI and machine learning to develop data strategy.
Though your AI is brilliant,
your product still needs great user experience (UX),robust reporting and the right workflow. Focusing on 'serving your customers’ end users should be installed into your team’s DNA. You will not win if the end-to-end product is better.
AI can be illutional , but sales still win.
Fred Wilson, venture capitalist and popular blogger, holds the view that “marketing is for companies who have sucky products.” Similarly, many AI founders believe that if the product is amazing, it should sell itself.
Manage customers' over- and under-expectations.
AI is still a very imperfect technology that often fails. There should not be any surprises for customers on that score.
Hire both tech and domain experts from industry.
Your team needs both top software engineers and ML engineers (often PhD level) .Who can productize and deploy AI. (Ideally you want talent who can do both)
Organizational shift:
As a founder, you should help cross-functional teams understand.About how ML products are different from conventional software products.And discuss potential conflicts, and promote a more experimental culture and open.
All the suggestions are from different sources. Like blogs and google searches.
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