A few weeks ago I gave a lecture entitled ‘The Great Disorientation’. It covered a lot of ground, as our present disorientation is indeed very great. Confused, overloaded, we stumble from update to update, constantly refreshing, all the while reducing our individual and collective capacities to comprehend and respond.
For work I’m reading and taking notes on my blog about cancer biology texts. The following are notes on most chapters of The Emperor of All Maladies by Siddhartha Mukherjee. Some of these are not actual chapters (e.g., “Leukemia” is not a chapter). I listened (during many episodes getting a kid to sleep in the middle of the night) to this book borrowed from my local library with the Libby app.
X-ray crystallography is the technique of using the diffraction of x-rays by the electrons in a molecule to determine the positions of all the atoms in that molecule. Quantum theory teaches us that the electrons are to be found in shells around the atomic nuclei.
DOI 10.60804/GAPH-5F57 Views from Mike Thelwall, Professor of Data Science Mike Thelwall, Professor of Data Science at the University of Sheffield, UK, has developed free software and methods for social media sentiment analysis and for systematically gathering and analyzing web and social web data.
tl;dr: I made a small contribution to MapComplete that allows adding/editing wayside shrines to OpenStreetMap. Argentina is full of little way-side shrines, to saints recognized by the Catholic church such as San Expedito but also to folk saints that are not recognized by the church, like Difunta Correa and Gauchito Gil.
Publikationsberatung mit dem oa.finder Der oa.finder ist die zentrale Informations- und Rechercheplattform für akademisches Publizieren in allen Fachbereichen. Hier finden Forscher*innen schnell Zeitschriften und Wissenschaftsverlage für ihre Publikationsvorhaben, indem sie ihre Suche auf die unterschiedlichen Publikationstypen ausrichten: Journal-Artikel, Monografie, Sammel- oder Konferenzband.
Complex learning happens when people solve real problems instead of just memorizing facts. Think about the difference between reading about how to ride a bicycle and actually learning to ride one. You cannot learn to ride a bicycle just by reading about it – you need to practice, fall, adjust, and try again until your body understands how to balance. Health challenges work the same way.
Networked learning happens when people learn through connections with others facing similar challenges. Think about how market traders learn their business – not through formal classes, but by connecting with other traders, sharing tips, and learning from each other’s experiences. This natural way of learning through relationships is what networked learning tries to support.
This article explores and analyses the paper 'Chain-of-Verification Reduces Hallucination in Large Language Models' by Shehzaad Dhuliawala and colleagues from Meta AI & ETH Zürich. The paper was published on arXiv in September 2023.
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