Machine Learning is a subfield of it that attempts to develop programs that learn from experience, under the assumption that a lot of "intelligent decisions" cannot be programmed in a conventional way.
Artificial Intelligence can be difficult to navigate for the uninitiated. Dan Roth, Professor at University of Illinois at Urbana–Champaign and member of Haptik's Board of Advisers shares advice for students looking to enter the field.
There is a lot of confusion surrounding the different terms such as Machine Learning, Machine Intelligence, Artificial Intelligence, Big Data and Natural Language Processing. People assume all of them to be the same thing. Is there any way to avoid that confusion?
At the level of granularity most people understand these terms, they overlap considerably. In fact, the overall scientific area is called Artificial Intelligence (sometimes called in the media "machine intelligence"). Machine Learning is a subfield of it that attempts to develop programs that learn from experience, under the assumption that a lot of "intelligent decisions" cannot be programmed in a conventional way.
Natural Language processing is another subfield that makes use of a lot of Machine Learning technology in order to develop program that can understand human language to some extent. Big Data is simply a new "buzz word" that refers to the fact that we have a lot of on-line data today; the key techniques to deal will these amounts of data (beyond computer architecture issues) are in the artificial intelligence field.
How much neuroscience is essential for a computer science/information technology student to pursue Artificial Intelligence? Can you make any recommendations?
In today's technology, none. What is needed is Math (Linear Algebra, Probability Theory, Theory of Computation, Algorithms) and Artificial Intelligence methods (Machine Learning, Automated Reasoning, etc).
Is it possible for a enthusiastic student to understand the nature of Artificial Intelligence by simply observing it?
I am not sure what does "observing it" mean. Artificial Intelligence is a scientific and an engineering field. One can view it as a collection of ideas, techniques, algorithm, and methodologies, all aimed at addressing a collection of problems.
There is a lot of information available on the internet about artificial intelligence and similar subjects is there anything that can help students differentiate from what's real and what's not?
The short answer is 'no'. Given the amount of wrong and misleading information out there, this is a process the requires acquiring expertise.
Haptik and Augmented Intelligence
Machines have not reached the level yet where they can fully comprehend a request, understand the relevant material and generate a complete interpretable response. However, we can today write programs that have a reasonably good understanding of the request and the context in which it is being made, to the extent that they can make the work of a human helper a lot more efficient.
Ultimately, to get things done, a human has to intervene and take it to completion. That is what Haptik refers to as "Augmented Intelligence" - machines working with humans to intelligently get tasks done and that's what Haptik's Technology is all about?
Haptik is everyone's personal assistant - an army of real people, solving real problems in real time over chat. The app help you get things done in a matter of minutes by outsourcing your headache to a Haptik Assistant with a simple message, leaving you with more time to tend to the more important things in life. Whether it's searching for information, completing a task or resolving support issues with companies, Haptik combines the human communication skills and artificial intelligence to be able to deliver results.
Haptik is also one of the only apps from India to be featured by Google in the Productivity category along with global giants such as Dropbox and Gmail. The app is available on Android & iOS, Free of Cost with it's services active from 7 AM to 12 AM.
When asked about his role at Haptik, Prof Dan Roth Replied "I will be working with Swapan and Aakrit on enhancing Haptik's natural language processing efforts to constantly improve and optimize overall chat and question answering quality. I will spend a couple of hours a month with the team, understanding the needs and recommending specific solutions to make the assistants more efficient.
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