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.
Artificial intelligence decodes the facial expressions of mice. Neuroscientists also uncover neural circuitry whose activity correlates with particular emotions. AI can be used in any activity. As long as you have a model, a scheme you can build an AI algorithm. Here the work starts on mice to pinpoint neurons in the human brain that encode particular expressions. Nearly 150 years ago, Charles Darwin proposed that facial expressions in animals might provide a window onto their emotions, as they do in humans. But researchers have only recently gained the tools — such as powerful microscopes, cameras and genetic techniques — to reliably capture and analyse facial movement, and investigate how emotions arise in the brain.
From robots to drones, agricultural innovation is rapidly changing. A great case study on how innovation can help farmers in Florida. It can help them managing chemical products better and safer and it can help by providing robots to do chores that farmers would rather not do. Again another great example on how AI can help in an area that we had not anticipated at the beginning the work around it.
Artificial intelligence to predict corona-patients’ risk of needing ventilators.
As coronavirus patients are hospitalized, it is difficult for doctors to predict which of them will require intensive care and a respirator. Many different factors come into play, some yet to be fully understood by doctors . As such, computer scientists at the University of Copenhagen are now developing computer models based on artificial intelligence that calculate the risk of an individual patient’s need for a ventilator or intensive care. AI algorithms can predict situations based on large volume of data. Here is a great example of its application.
Stanford is Using Artificial Intelligence to Help Treat Coronavirus Patients.
Clinicians and researchers at Stanford University are developing ways that artificial intelligence can help identify which patients will require intensive care amid a surge in coronavirus patients. Rather than build an algorithm from scratch, the goal by Stanford experts was to take existing technology and modify it for a seamless transition into clinical operations. Obviously in this pandemic situation, we can find some great application for AI based algorithms. Standford is a great university that provides great engineers, therefore it is not surprising to see them providing such service.
Royal Dutch Shell reskills workers in artificial intelligence as part of huge energy transition. As AI, machine learning and other advanced technologies fuel the digital transformation taking place at so many companies, business leaders are scrambling to reskill their employees. This is a very good example of a large company putting together a digital transformation plan.
Artificial intelligence will play an increasing role in wealth management.
It’s likely that in the next few years, the wealth sector will experience dramatic change. The sector has historically been resistant to technology and change, with many practitioners very highly paid and very happy with the status quo. The upper end of the industry is characterised by strong personal relationships, high prices and a lack of transparency. But automation of processes and the adoption of artificial intelligence will lead to change sooner rather than later.
Simporter Artificial Intelligence Predicts Which Products Face Surging Demand as People Isolate at Home. Artificial intelligence company Simporter launched new software that predicts which products are next in line to see a spike in shopper demand. Called the Epidemic Demand Surge Protector, it makes these predictions so manufacturers and retailers can keep up supply levels for OTC medicine, food, and household items. Yet another great use of AI to better manage consumption of everyday product.