Nicolas Babin disruptive week about Artificial Intelligence – February 10th 2020

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 Vox.com:
https://www.vox.com/recode/2020/2/7/21125959/artificial-intelligence-coronavirus-benevolent-ai-treatment

Scientists are identifying potential treatements for coronavirus via AI. Researchers used AI to mine through existing medical information to find drugs that they say might be helpful for tackling the virus. Health is definitely benefiting the most out of AI as some huge amount of data is treated and ensures all potential angles are covered.

On WSJ.com:
https://www.wsj.com/articles/the-key-to-keeping-the-lights-on-artificial-intelligence-11581087734

Power companies are turning to AI, drones and sensors to curtail outages, save money and help operate an increasingly complex electricity grid. The more complex a situation, the better for AI. AI can augment human capabilities because it can manage much more data than the human brain. So in this example with complex grids, AI based algorithms can ensure every situation is counted for.

On CIO.com:
https://www.ai-cio.com/news/artificial-intelligence-start-investing-now-says-foundation-group/

Start investing now in AI, Says Foundation Group. Two major US private foundations lead venture capital push into AI, which they say will disrupt multiple industries. AI is so advance it can help many industries to transform. This is why investing now is a smart move to beat competition.

On FDA.gov:
https://www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-first-cardiac-ultrasound-software-uses-artificial-intelligence-guide-user

This is another great example on how the health industry can benefit from AI. Today, the U.S. Food and Drug Administration authorized marketing of software to assist medical professionals in the acquisition of cardiac ultrasound, or echocardiography, images. The software, called Caption Guidance, is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic quality.

On vision-systems.com:
https://www.vision-systems.com/unmanned/article/14167257/artificial-intelligence-assists-in-the-study-of-autonomous-vehicle-performance-in-winter-conditions

Scale AI open-sources data set to help in the development of autonomous vehicles capable of driving in wintry weather. With the power of its algorithms combined with machine learning, systems can reproduce all wintry weather and ensure autonomous vehicles will be programmed to perform in such conditions. Again another great example of what is possible thanks to AI.

On BBC news:
https://www.bbc.com/news/av/uk-england-london-51415491/smart-cities-how-artificial-intelligence-could-change-london

Have a look at this very relevant video on how an AI based system can help imagine the city of the very near future. Computers are scanning London’s roads, with a 98% accuracy rate in identifying vehicles and people. And they are are learning all the time. The new system can run 24/7 and is part of the “smart city” revolution. Using data from the scanners, planners can change streets and target investment.

On Financialpost.com:
https://business.financialpost.com/news/fp-street/whats-in-the-black-box-rise-of-artificial-intelligence-in-banking-presents-challenge-for-osfi?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+FP_TopStories+%28Financial+Post+-+Top+Stories%29

A federal regulator is signalling it could tighten up rules around the use of artificial intelligence by banks, a practice the watchdog suggests could pose risks to lenders as decisions made by the “black box” technology grow trickier to explain. Banks are using AI and machine-learning models to help in areas such as detecting fraud and underwriting loans, but Canada’s Office of the Superintendent of Financial Institutions has warned the trust in those conclusions could “erode” as it becomes harder to show how they were reached.