Prudentia High IQ Society

In 2005, the former artificial intelligence researcher who became a biologist, Aubrey de Grey, proposed a detailed plan called “strategies for engineered negligible senescence” (SENS), aimed at preventing age-related physical and cognitive decline. Two years later, he published the book “Ending Aging: The Rejuvenation Breakthroughs that Could Reverse Human Aging in Our Lifetime”, in which he wrote in detail about seven issues and measures how to repair them (table taken from Wikipedia): Issue Proposed countermeasures Extracellular aggregates Immunotherapeutic clearance Accumulation of senescent cells Senescence marker-targeted toxins, immunotherapy Extracellular matrix stiffening AGE-breaking molecules, tissue engineering Intracellular aggregates Novel lysosomal hydrolases Mitochondrial mutati

When the Nobel Prizes were announced this year (2024), many people were initially shocked at seeing that the decision had been made to give the Nobel Prize in Physics to two researchers in Artificial Intelligence (AI), one of whom did not even have a physics degree. But the Nobel Prize in Chemistry that was announced a day later showed why that decision had been made: after all, AI methods had been employed by the winners of that prize to conduct their research about the structure of proteins. So it was in some way justified to give two of the researchers who had laid the foundations for modern AI recognition. The big question is: Will we see more Nobel Laureates who worked with AI? Will it even perhaps soon be ordinary that Nobel Prize winning scientists have made their discoveries using AI? Is it even possible that every Nobel Prize will be given to people employing AI and maybe the Nobel Prize will be given to the AI systems themselves instead of human beings? Is it the dawn of a ne

Computational Concepts in Biology I At the University of Vienna, an interesting new Master's programme was introduced only a couple of years ago (in 2013). This Master's programme is called "Computational Science" and it is highly interdisciplinary. To be admitted for this Master's programme, you need to have a Bachelor's degree in Computer Science, Mathematics, Biology, Physics, Chemistry, Astronomy, Geology or a related field. The Master's programme has a minimum duration of two years and afterwards, you can enroll for a PhD programme. "Computational Science" is all about research in natural sciences that is done using computers and most of all self-written computer programs. It it thus an ideal study programme for people who are both into computers as well as natural sciences. Depending on what type of Bachelor's degree students have, they either have to attend basic lectures in mathematics, basic lectures in computer science or advanced l