Nicolas Babin disruptive week – 18th November 2019

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks.
Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today’s life. I will also comment on the articles.

On Forbes.com:
https://www.forbes.com/sites/cognitiveworld/2019/11/16/can-artificial-intelligence-learn-tolearn/#64d7d1033df7

Can AI learn to learn? This is what is called Meta Learning and for that AI requires Artificial General Intelligence. Quite a good question and a very good article to read to understand the limits of AI.

On Yahoo finance: https://finance.yahoo.com/news/apple-card-controversy-artificial-intelligence-231512049.html

AI is programmed by humans so regularly you have to take in consideration bias feelings that all humans have. In this example of Apple pay, this shows how difficult bias needs to be taken in consideration and what kind of guidelines you need to put in place to avoid this type of problems.

On Axios.com:
https://www.axios.com/ai-washing-hidden-people-00ab65c0-ea2a-4034-bd82-4b747567cba7.html

I really enjoyed this article as I agree with the author, AI washing is not helping the growth of AI. Before AI the buzzword was Big Data, before Big Data it was Cloud and before that it was mobile, SAAS, Internet….
This “AI washing” threatens to over inflate expectations for the technology, undermining public trust and potentially setting up the booming field for a backlash. This is why I keep talking about AI and facts. I have been involved with AI since 1996 with Sony and this has been my mission ever since.

On marketexpert24.com:
https://www.marketexpert24.com/2019/11/16/massive-growth-for-artificial-intelligence-in-diabetes-management-market-by-2025-focusing-on-eminent-players-like-diabnext-google-ibm-corporation-apple-inc-glooko-inc/

AI and Diabetes management. AI can help predict and give patients a better understanding on how to manage the disease.
Artificial Intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. Have a look at www.diabilive.com and you will see how AI and machine learning can help patients.

https://www.marketexpert24.com/2019/11/16/cognitive-computing-and-artificial-intelligence-systems-in-healthcare-market-shaping-from-growth-to-value-carestream-fujifilm-medical-systems-ge-healthcare-philips-healthcare-2/

A complete analysis of Cognitive Computing and Artificial Intelligence Systems in Healthcare market is been done in this intelligence report. It includes the investigations done of the past progress, present ongoing market scenarios and future prospects. In this particular market report an accurate data of the products, strategies and market shares of leading companies are mentioned clearly.

On businessinsider.sg:
https://www.businessinsider.sg/robots-surpassed-humans-at-these-tasks-in-past-decade-2019-11/

Thanks to leaps and bounds in the field of artificial intelligence in the past decade, robots are increasingly beating humans at our own games. AI-powered programs have proven their prowess at competitive games and academic tests alike throughout the past 10 years. This has been the case for a while now as when I started with robots in 1996, we could already have bots capable of winning in chess.

On Thejournal.com:
https://thejournal.com/articles/2019/11/15/study-teachers-find-benefits-of-ed-tech-elusive.aspx

AI is to augment humans. This is why teachers should not be worried. AI will not replace them, it will help them be more effective.
When it comes to instruction, teachers want to spend more time working directly with students who need intervention and providing one-on-one support. However, a recent survey finds 60 percent of teachers are worried that implementing technology tools could damage the student-teacher relationship.