Nicolas Babin disruptive week about Artificial Intelligence – October 4th 2021

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/forbestechcouncil/2021/09/30/how-will-artificial-intelligence-change-our-living-spaces/

How Will Artificial Intelligence Change Our Living Spaces? People tend to desire changes, and that includes changes to their surrounding home spaces. The numbers speak for themselves — according to Global Marketing Insights, the home improvement market exceeded $762.9 billion in 2020 and will grow at 4.3% from 2021 to 2027. Sometimes, the annual trip to Ikea for a new couch doesn’t bring happiness anymore and a more radical intervention is required. Most people would engage a professional interior designer, but they’re expensive, and it’s hard to find the right one for your own style. Imagine an infinitely knowledgeable designer that serves thousands of clients — artificial intelligence doesn’t have limits.

https://www.forbes.com/sites/tomtaulli/2021/09/29/ai-artificial-intelligence-poised-to-transform-the-massive-construction-industry/?sh=2a6d92241eba

Artificial Intelligence: Poised To Transform The Massive Construction Industry.  If anything, AI is poised to play a critical role in the transformation of the construction industry. Another key to AI is that it allows for more proactive approaches. AI today can be seen in many applications and in many industries, this article shows how much it is now involved in the construction industry.

On Entomologytoday.org: https://entomologytoday.org/2021/09/29/what-termite-artificial-intelligence-might-have-answer/

What’s That Termite? Artificial Intelligence Might Have the Answer. In the not-too-distant future, a pest control technician prepares to deal with a termite infestation. His first order of business is to identify the species of termite, essential for effective management but not always an easy job nowadays because these little wood chewers are notoriously difficult to sort. For the tech of the future, however, it’s a snap. He pulls out his smart phone, clicks off a few pictures, and a souped-up version of machine learning fires back with an identification of the termite species at hand. The scenario above is what a team of scientists in Taiwan hope will result from research, published in August in the Journal of Economic Entomology, that demonstrates how deep learning, in which a computer model identifies termite species, can be adapted for use via smartphone for pest control professionals and even homeowners. The system relies on what are called deep convolutional neural networks (DCNNs or CNNs) to extract and differentiate patterns within images and automatically identify termite species.

On IoTforall.com: https://www.iotforall.com/artificial-intelligence-technology-trends-that-matter-for-business

Artificial Intelligence Technology Trends That Matter For Business. According to 2020’s McKinsey Global Survey on artificial intelligence (AI), in 2020, more than 50% of companies have adopted AI in at least one business unit or function, so we witness the emergence of new AI trends. Organizations apply AI tools to generate more value, increase revenue and customer loyalty. AI leading companies invest at least 20% of their earnings before interest and taxes (EBIT) in AI. This figure may increase as COVID-19 is accelerating digitization. Lockdowns resulted in a massive surge of online activity and an intensive AI adoption in business, education, administration, social interaction, etc.

On ZDnet.com https://www.zdnet.com/article/legal-framework-for-artificial-intelligence-advances-in-brazil/

Legal framework for artificial intelligence advances in Brazil. Congress passed a bill that outlines guidelines for public policies and principles to be followed by companies, which now needs to be voted by the Senate. Guidelines for the creation of public policies relating to the technology are outlined in the proposal, as well as principles to be followed by private sector organizations in relation to the development of AI systems. The scope includes machine learning systems, including supervised, unsupervised and reinforcement learning platforms.

On Breakingdefense.com: https://breakingdefense.com/2021/09/researchers-warn-of-dangerous-artificial-intelligence-generated-disinformation-at-scale/

Researchers warn of “dangerous” Artificial Intelligence generated disinformation at scale. Researchers at Georgetown University’s Center for Security and Emerging Technology (CSET) are raising alarms about powerful artificial intelligence technology now more widely available that could be used to generate disinformation at a troubling scale. The warning comes after CSET researchers conducted experiments using the second and third versions of Generative Pre-trained Transformer (GPT-2 and GPT-3), a technology developed by San Francisco company OpenAI. GPT’s text-generation capabilities are characterized by CSET researchers as “autocomplete on steroids.”

On Securitybrief.asia https://securitybrief.asia/story/lack-of-understanding-of-artificial-intelligence-and-machine-learning-contributing-to-cybersecurity-attacks

Lack of understanding of artificial intelligence and machine learning contributing to cybersecurity attacks. While use of artificial intelligence and machine learning is high amongst IT decision makers, more than half are unsure what the technology actually means, new research has revealed. Webroot has released its annual artificial intelligence and machine learning report, which reveals how IT professionals perceive and use these advancing technologies in business.