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 Moderndiplomacy.eu: https://moderndiplomacy.eu/2021/09/05/artificial-intelligence-and-international-refugee-law/
AI has reduced humanity in algorithmic calculations contrary to global human rights norms. AI does not recognize the significance of humanitarianism in its current form. It has envisioned a world of dynamic numerals that do not protect humanity and mitigate human sufferings in the Refugee Status Determination (RSD) procedures. Algorithmic humanitarianism is an idea suffering from the mechanical, technocratic, and scientific acclimatization of human existence devoid of ethics, justice, and morality. An article to read as it shows today’s limit with Artificial Intelligence.
Artificial Intelligence And Regenerative Medicine: What The Future Of Medicine Holds? Researchers have identified four areas in the field of regenerative medicine where artificial intelligence (AI) would be of significant help. But the possibilities are endless. Science, medicine, and technology go hand-in-hand to produce path-breaking results. It seems like just yesterday when researchers were talking about regenerative medicine and stem cells to treat diseases. The same holds true for artificial intelligence (AI) as well. Today though, we are seeing an amalgamation of these sciences that is propelling research to newer heights.
On CGTN.com: https://newseu.cgtn.com/news/2021-09-05/Can-artificial-intelligence-complete-a-Beethoven-Symphony–13hPvzgIH8A/index.html
Can artificial intelligence complete a Beethoven Symphony? In a concert hall in Switzerland, an audience sat in anticipation to listen to a version of Beethoven’s Tenth Symphony for the first time. The symphony, which the German composer never finished, was only scraps of notes when he died. Some composers have tried to string together a version of the symphony since then. But now, artificial intelligence has given it a shot. The four-minute extract created has been called BeethovANN Symphony 10.1. The ANN is a reference to the artificial neural network that created it.
On Timesofoman.com: https://timesofoman.com/article/106300-artificial-intelligence-is-a-critical-enabler-of-energy-transition-study-finds
Artificial Intelligence is a critical enabler of energy transition, study finds. The World Economic Forum has published a new study on how artificial intelligence (AI) can be used to accelerate a more equitable energy transition and build trust for the technology throughout the industry. As the impacts of climate change become more visible worldwide, governments and industries face the urgent challenge of transitioning to a low-carbon global energy system.
On Analyticsinsight.net: https://www.analyticsinsight.net/ai-chips-what-makes-them-important/
AI chips, what makes them important? Just a look around and you realize how prominent Artificial Intelligence has emerged out to be. Be it in the form of facial recognition cameras or voice assistants, AI has achieved it all. This has paved the way for curiosity pertaining to what exactly is an AI chip and what makes it different from other chips. Also, the fact that the AI chip market is highly valued is all the more a strong factor as to why should one know about AI chips.
On Venturebeat.com: https://venturebeat.com/2021/09/04/demystifying-deep-reinforcement-learning/
Demystifying deep reinforcement learning. Deep reinforcement learning is one of the most interesting branches of artificial intelligence. It is behind some of the most remarkable achievements of the AI community, including beating human champions at board and video games, self-driving cars, robotics, and AI hardware design. Deep reinforcement learning leverages the learning capacity of deep neural networks to tackle problems that were too complex for classic RL techniques. Deep reinforcement learning is much more complicated than the other branches of machine learning. But in this post, the author tries to demystify it without going into the technical details. A good article to understand this very important angle of AI.
On Unite.ai: https://www.unite.ai/ai-algorithm-reads-and-predicts-patient-data-from-electronic-health-records/
AI Algorithm Reads and Predicts Patient Data From Electronic Health Records. Scientists at the Icahn School of Medicine at Mount Sinai have developed a new, automated, artificial intelligence (AI)-based algorithm that can read and predict patient data from electronic health records (EHRs). The new method is called Phe2vec, and it can accurately identify patients with certain diseases. It was demonstrated to be just as accurate as the most popular traditional method, which requires more manual labor to perform. Some great progress in healthcare AI.