The future of innovation in the era of artificial intelligence | Mikial Nijjar

Transcript

1. The future of innovation in the era of artificial intelligence

2. There are many major problems with computing and thus the

   longer term. Mikial Nijjar did better to discuss the clash between human innovation and computing.
3. None

4. The matter is already on the horizon, and although nobody

   is talking about it much, that's only because we aren't paying attention to our surroundings and environment here within the fashionable era.

5. Many will tell you computing will never replace humans in

   certain domains like those things that involve creativity - categories like; art, storytelling, movie-making, writing, and innovation.

6. The utmost amount as I'd value more highly to reassure

   you that these notions are true, I'm unable to rationally or honestly tell you they're.

7. We already see the beginnings of AI in those categories,

   and also the graffiti (writing) art is on the wall. We've got already got AI art, and some of it's indistinguishable from pieces done by humans, AI has passed the Turing Test during this domain already. \

8. We even have AI novel writers and songwriting and composing

   software, and it's also pretty good.

9. We already see the beginnings of AI in those categories,

   and also the graffiti (writing) art is on the wall. We've got already got AI art, and some of it's indistinguishable from pieces done by humans, AI has passed the Turing Test during this domain already.
10. None

11. We even have AI novel writers and songwriting and composing

    software, and it's also pretty good.

12. We have seen the first AI movies too, no not

    up to human standards quite yet, but certainly getting there, and consider if you will the very fact that there are only some new genres introduced nowadays, most movies are common storylines with only slight derivations within the genre.

13. The plots are pretty predictable and good (high grossing) Hollywood

    movies follow certain rules, while good writing, and good art. Rules are taught to computers, software, and thus, computing.

14. AI can also mix-and-match previously untried combinations and do so

    in real-time and at a very low cost per new unit produced.

15. As, Mikial Nijjar has got started before most innovation also

    follows rules, and sometimes uses easy-to-follow strategies of re-combination.

16. Further, for those who believe anyone and everybody teaching innovation

    today helps people learn to be more creative and innovative, then obviously, it can't be that arduous to do to try and do. And, if it is a pushover, then it's safe to say that computing can easily conquer it. It doesn't take an inspired genius to figure out how.

17. How to Mimic Creativity and Innovation with engineering science? All

    you'd do is take IBM's Watson, hook it to an excellent computer and feed it all the world's information. Then merely instruct it to re-combine every word or phrase in every language, then ask Watson what that new phrase might mean.

18. It'll return with answers and also the proportion of probability

    that each of those answers is correct for each re-combination. Those re-combinations outputs with high percentage rates, for example, 75-99% may well be tested through crowd-sourcing with humans knowledgeable in those domains to work out if each of the output answers made any sense.

19. Using this method the AI Innovating Watson could come up

    with 10's of countless viable original thoughts in some unspecified time within the future.

20. THANK YOU