Leah Davina Junck, PhD’s Post

#CommResearchCollab is officially back for a new academic year! Today, we kick off with an introductory session diving into the role of AI in research. Over the upcoming months, we will be taking a structured approach by delving into the research, thesis, pilot, and dissertation processes in easily manageable weekly segments. Mark your calendars for every 4th Friday of the month for our review sessions or to bring forth any questions you may have. Looking forward to a productive and insightful year ahead! 🌟 #Research #AcademicYear #AIinResearch

🙏 Thank you very much for editing such a timely and interesting volume, Kamil Filipek, Dariusz Brzeziński, Kuba Piwowar and Malgorzata Winiarska-Brodowska! 📔 I was fortunate enough to contribute a chapter, namely "Social Inequalities and Artificial Intelligence: How Digital Inequality Scholarship Enhances Our Understanding" (chapter 11), which is available here: https://lnkd.in/edm9AjSk 🔍 The chapter is a follow-up to my 2019 article "Digital inequalities in the age of artificial intelligence and big data" (https://lnkd.in/ecRnyn_B) but more centered on organizational contexts and AI inequality dynamics, including more recent generations of AI systems.

👉 I recommend a book that offers a unique perspective on artificial intelligence. You know Harari ✍️, the guy behind Homodeus and Sapiens? Well, this is another one of those mind-blowing books that’ll change the way you see AI’s impact on our lives - 📖 the book NEXUS 📖. Here are the three things I loved ❤️ the most about NEXUS: 🍿 1. The way it traces the evolution of information throughout history, from ancient times to the present. 🤯 2. Its predictions about how AI will shape different political systems, like democracy vs. totalism 🧙♀️ 3. The fascinating chapter on the Medieval Witch Hunts, where they missed out on harnessing new technologies.  

Imagine a library of the future, fully powered by AI, where books are holographic, and patrons can interact with characters from the stories. You can have a conversation with Sherlock Holmes, ask Aristotle questions, or even learn Vedic philosophy directly from ancient sages—all through advanced holograms and AI-generated personalities. In this futuristic library, the shelves automatically rearrange themselves based on what’s trending among readers. You can time-travel to the context of any book, immersing yourself in the scenes of the Mahabharata or walking the streets of London with Charles Dickens. Plus, the AI librarian anticipates your reading preferences, recommends not just what to read next but what to experience—whether that’s a sensory exploration of a literary world or an interactive debate between historical figures. Wouldn’t that be a fascinating world for library professionals like you to engage in?

Came across this review of a preprint, which pits Claude against humans to assess which group produces more original ideas. I think most people in science will agree that coming up with a novel idea is at least half of the battle, and so any model that even incrementally improves this part of discovery is bound to make progress happen much faster than it would occur organically. Now imagine a model that generates millions of ideas per second, coupled to a selection mechanism. Perhaps an algorithm that clusters ideas based on similarity, and ranks them based on their uniqueness (how far away they are from centroids of other idea clusters). Out comes the survivors of an evolutionary race of ideas. That feels like a compelling way of doing any branch of science, assuming reasoning capabilities move beyond what the current models are offering. https://lnkd.in/gNmKigWi

The new DeepMind reflexion covering very exciting ideas, thoughts and some past overview “AI for Science opportunities, ingredients, risks and public policy ideas”

What if they see the AI technology growth in this era. ===== Subscribe to our newsletter for cutting-edge insights, practical tips, and exclusive resources tailored for students and technology enthusiasts. https://lnkd.in/gaskmzb6 Berlangganan buletin kami untuk mendapatkan wawasan mutakhir, kiat-kiat praktis, dan sumber daya eksklusif yang dirancang khusus bagi para pelajar dan penggemar teknologi. https://lnkd.in/gaskmzb6 =====

This is an enlightening snippet of AI history. Be it AI or solving poverty, all big dreams and bold predictions start with FUNDRAISING! #ArtificialIntelligence #Fundraising #Nonprofit #Innovation #TechForGood

Here’s a little AI history lesson for you to kick off the week... 68 years ago, four researchers submitted a grant seeking funding for AI research. (Fun fact, this is the first known use of the term ‘artificial intelligence’.). Here’s what they wrote: “An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer." - Proposal for the Dartmouth Summer Research Project on Artificial Intelligence (McCarthy et al, 1955) A summer! In 1956! It’s ok if you sometimes find yourself overwhelmed by the pace of progress, or the grand proclamations of AGI. Just remind yourself this industry has leaned overoptimistic on timelines from its very start. 

T. Thang Vo-Doan, an engineer at the University of Queensland in Australia, who has independently worked on cyborg insects, praised the work for its simple setup—reinforcement learning is flexible, and AI based on it can figure out how to perform complex tasks. According to Harvard University biophysicist Chenguang Li, the paper’s lead author, “one can easily see how it might be extended to harder problems.” Her team is now exploring whether their method can improve electrical deep-brain stimulation to treat Parkinson’s disease in humans by adjusting the voltage used and its timing. One day reinforcement learning plus implants might even give us new skills, Li says—artificial and real neural nets united. https://lnkd.in/gQUSTGUR