AI is very rapidly growing despline. Behind traditional and reasonable AI, machine learning and data mining techniques are the most developing AI in the last decade., especially deep learning techniques.

Image processing and its applications...

Video to Text Descriptions in any of its applications: Generation of description or coincidence and classification (Retrieval).

AI is a very important direction of next new-generation technology, it will been taken many applications in all regions of human beings' life.

Dear Readers,

What are your expectations about what and how AI will change the world (positively and negatively)?

The use of machine learnins techniques for discover new patetrns in raw data

Dear Readers,

Thanks for valuable discussions. What are your opinions about which AI technologies are good and which ones are bad for humans? Why?

Following.

https://www.researchgate.net/project/EXPONENTIAL-KNOWLEDGE-AUTOMATION

https://www.researchgate.net/post/How_will_knowledge_automation_modify_the_production_function_2000-2050

The economic effects on human labor, production and distribution will be decisive.

follower

Dear Stephen I. Ternyik

Thanks for the links. It'd be great if you can give a brief summary of what you'd like to share with the readers of this thread. Appreciate it.

Exponentialty is the the current trend, leading eventually to singularity:

Exponential Finance, Medicine, Manufacturing and Education are at the core of this revolutionary process; AI fits also well with green technology, for our very survival as species on this planet. Quan Hoang Nguyen The movement of transhumanism should also be mentioned in this context, e.g.

https://en.wikipedia.org/wiki/Homo_Deus:_A_Brief_History_of_Tomorrow

Thanks, Stephen.

Dear Stephen I. Ternyik and Readers,

Thanks for the discussions. Would you like to share other aspects as well, if any?

Trustworthy AI will be a key topic basically how to build and train models that avoid bias to produce more robutness and deal with ethics. The EC AI alliance expert workgroup has already worked on specific recommendation along with pilot processes. Check it out at

https://ec.europa.eu/digital-single-market/en/news/policy-and-investment-recommendations-trustworthy-artificial-intelligence

Thanks Catherine Nohra China .

Past boundaries: Chess and the game of Go.

Next boundary: Real-time strategy game - Starcraft.

Dear Readers,

Thanks for the valuable discussions, mostly about benefits and applications.

Perhaps the following link may interest the readers of this thread.

https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence.

Ethics and threats are worth discussing.

Welcome more discussions.

Dear Readers,

What do you think about the following?

Elon Musk Sees His Neuralink Merging Your Brain With A.I.

https://www.forbes.com/sites/alexknapp/2019/07/17/elon-musk-sees-his-neuralink-merging-your-brain-with-ai/#1ec701704b07

Readers of this thread may interest in the following thread:

https://www.researchgate.net/post/What_is_Artificial_Intelligence_AI_according_to_your_personal_and_professional_world_A_friend_or_foe_Are_you_in_favour_or_still_apprehensive

Ohh thanks a lot for sharing my discussion link in your discussion site dear Quan Hoang Nguyen very much appreciated 🙏👍

Emre Pakdemirli Thank you.

AI is very rapidly growing despline. Behind traditional and reasonable AI, machine learning and data mining techniques are the most developing AI in the last decade., especially deep learning techniques.

Kindly open this link:

https://www.quora.com/What-are-the-current-trends-in-AI

Thanks @Hassan Izzeddin Sarsak for this useful link.

Following this interesting discussion..

I would say using AI based on quantum computing for complicated and unpredictable cases.

I was at event at IBM in Munich about quantum computing and AI, what I realized they have been doing a lot of research on quantum computing,

https://www.research.ibm.com/ibm-q/

Thanks Ahmed Ismail for sharing your thoughts.

What do you think about current trends, such as mimics the human brain project, a chip in human brain, and human brain in a chip, etc?

As AI becomes a stable in our lives, we need to ensure only Benevolent AI which benefits all mankind both in time and space develops. We should guard against Malignant AI which could result from unsupervised machine learning using the worst of human impulses that could be detrimental to the survival of humanity. The ability to use human diversity to harm sections of the society is something of a huge concern, this may be intentional or out of ignorance. Two illustrative cases one could investigate where AI may be silently taking society in a direction that needs attention. First case: Relative to the general population, what is the ratio of interracial marriages arranged by ehamony? Second case: It’s an established fact that minority women are 42% more likely to be diagnosed late with breast cancer, considering that the cancer screening AI was normed on white women, how much of that 42% is due to AI machine learning errors?

Dear Readers,

Thanks for your sharing Hassan Izzeddin Sarsak , David F Amakobe .

David, agree with your first part. How to distinguish the two types? Unsure about the second part and the examples.

Dear Ahmed Ismail and Readers,

What is your opinion about the fast development and adoption of AI? Do you think that they are building SkyNet? cyborgs and Human 2.0?

New discussions about AI from experts:

https://www.cnet.com/news/elon-musk-says-ai-will-make-jobs-irrelevant/

https://www.bbc.com/news/technology-49508091

Do you think AI and the future of human beings?

When the data used to train, validate and test AI based computer aided detection (CAD) of diseases which is marketed for universal application, the result may be false or late stage detection of the population not included in the training, validation and test data. Article A Case for Diversity in Emerging Science, Technology and Inn...

Would like to have more discussions in this thread from AI experts. Please share your opinions.

Conferences and IT events have covered more and more about AI technologies.

Do you think AI will be our destiny?

“The extensive use of computers in the discovery and proofs of the Alternating sign matrix (ASM) formula may be a harbinger of future trends both within and beyond the theory of determinant evaluations. Zeilberger envisions an age in which the work that was done by his troupe of hand-picked referees will be done entirely by computers; computers will take over nearly all the tedious parts of mathematics, freeing human mathematicians, and perhaps a few artificially intelligent electronic colleagues, to spend their time in the more creative side of the enterprise.”

- Dave Bressoud and Jim Propp (Previous version of “How the Alternating Sign Matrix was Solved”, Notices of the American Mathematical Society, Vol. 46, No. 6 (June/July 1999), 637-646, deleted from the published (final) version, but restored in a letter to the editor by Bressoud and Propp, Notices of the American Mathematical Society, Vol. 46, No. 9, 1030-1031, October 1999).

(Alternating sign matrix (ASM) counting is fascinating because it pushes the limits of counting tools. Nowadays, the standard method to attack such problems is the six-vertex model approach which involves computing a certain generating function of ASMs with—at first sight— nonorthodox weights originating from statistical mechanics.)

Romeo Meštrović Thanks for sharing. So what is your viewpoint about AI?

AI seems to be the new buzz word as for Big Data. We have to be aware that more than half of AI projects currently fail because of the lack of data, or because of data quality issues. Garbage in/Garbage out! For that reasons, in somes practical business cases, it could be more relevant to use an efficient and proved statistical model rather than an unproved ML model with no reliable and useful data

Catherine Nohra China Thanks for sharing your opinion.

Dear Readers,

What is your opinion about the following?

https://www.extremetech.com/extreme/300927-steve-wozniak-no-self-driving-cars-in-my-lifetime

Catherine Nohra China Certain applications may fail. But there have been major steps in AI. Furthermore, there are other advances in many other fields such as Quantum Computing, Biotechnology, etc. The future is not so clear for humans.