The Knowledge Hub Universities’ Post

David Joyner, Executive Director of Online Education & OMSCS at the College of Computing at Georgia Tech, and interim Dean of Computing, Alessandro Orso, recently engaged in a candid discussion on the societal impacts of generative artificial intelligence (AI). Joyner highlights the fascination with AI's unforeseen capabilities, cautioning against hastily replacing human roles with generative AI. Instead, he advocates for a strategic approach to leverage AI while preserving essential human contributions. Orso and Joyner emphasize the significance of continuous learning to adapt to emerging technologies, recognizing the constraints of conventional education models. As we navigate this transformative era, their insights underscore the need for a balanced strategy for AI integration. https://lnkd.in/eNMvhEyR

Ever felt baffled by the potential of AI in your university's operations? 🤔 "The Definitive Guide to AI in Higher Education" is your essential compass to start your journey towards an AI-empowered campus! Download your copy now! 👉 https://lnkd.in/eMSi5B_Y #AICampus #GenerationAI

The Italian Association for Artificial Intelligence, in collaboration with the AISB (Society for the Study of Artificial Intelligence and Simulation of Behaviour, UK) is pleased to announce the next seminar of its Spotlight Seminars on AI initiative, with the support of the Knowdive Group. The talk entitled "𝐂𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐋𝐚𝐰𝐬 𝐨𝐟 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠" will be held by Marco Gori, full professor of computer science at the University of Siena and 3IA chair at Université Côte d’Azur, Nice. 🗓 Monday, April 29th 🕦 5:00pm (CEST) 📍 Online at https://lnkd.in/dVy2eA79 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁: The fields of Artificial Intelligence (AI) and Cognitive Science began crossing their paths significantly during the Eighties when the Connectionist wave strongly pushed the studies on Artificial Neural Networks. The evolution of the last decades in AI with the focus on deep learning and, recently, on generative AI, has been producing spectacular results that were hardly predictable even by the fathers of the discipline. However, when looking at early studies on Connectionism, most dreams are still waiting to be realized, since most successful results rely on the brute force coming from joining computational resources and large data collections. This is far away from what we observe in Nature, where cognition emerges simply from environmental interactions while processing temporal information. In order to capture those natural processes and prospect an alternative path to Machine Learning, in this talk I give a preliminary view of cognitive systems whose environmental interactions are dictated by genetic features that are translated into the minimization of an objective functional over time. This functional, that is referred to as the cognitive action of the system, replaces the classic Machine Learning statistical functional risk. I use the apparatus of Theoretical Physics and Optimal Control to derive unified laws of cognition for learning and inference and show that Hamiltonian equations in their causal dissipative form approximate the optimal solution over the entire data collection of the agent life. This comes from imposing the evolution on a Hamiltonian track which gives rise to a computational scheme for both focus of attention and conscious actions. #Knowdive #seminar #unitrento #research

🌟 Certificate of Achievement in Artificial Intelligence 🌟 I'm excited to share that I've completed the AI Fundamentals course organized by Bahria University's Computing and Innovative Society. Over three insightful sessions, we delved deep into the world of Generative AI and foundation models. We explored their key applications, discussed the advantages they bring to the table, and learned practical strategies for integrating these cutting-edge technologies into real-world projects. This experience has significantly broadened my understanding of AI, and I’m eager to apply this knowledge in future endeavors. A huge thanks to the organizers and everyone involved for making this journey so enriching! 🚀 #ArtificialIntelligence #GenerativeAI #FoundationModels #BahriaUniversity #AICertificate #TechInnovation #AIinPractice #CareerDevelopment #FutureOfTech #LearningJourney #BUCIS

Hi, it's time for WeeklyWed 🚀 This Wednesday, September 25th, Yashaswini Vismaya will host Aakash Gautam, an Assistant Professor in the School of Computing at the University of Pittsburgh, to speak about “Centering Human Values in the Era of AI Realism” Aakash will explore: 1. Concept of AI Realism: 2. Concerning Aspects of AI Realism 3. Solutions to Resist AI Realism 4. Practical Application: Case Study Sign up to get the Zoom link to the session [link in the first comment]

Reflecting on an insightful experience at the 7th International Conference on Intelligent Computing (IConcIC) held on March 22nd & 23rd, 2024. It was inspiring to engage with experts and explore cutting-edge advancements in AI and machine learning. Looking forward to applying these learnings in my work! #IConcIC #IntelligentComputing #InternatinalConference"

ex Google CEO Eric Schmidt spoke at Stanford this week. Lots of nuggets here, but most interesting for the near term, Schmidt believes in the next year AI is set to make a big leap forward. He predicts AI will combine three important features: 1. Vast knowledge retention (1 million token models) 2. Text-to-action capability 3. Personal AI agent fleets While the full impact is unknown, everyone may soon command their own AI teams. Here's an example: Imagine you're developing new quantum computing algorithms. Your AI assistants could: - Continuously scan and synthesize global quantum research papers - Generate novel algorithm ideas based on this knowledge - Simulate and test these algorithms across various quantum architectures - Automatically document findings and prepare draft papers - Identify potential collaborators and draft outreach emails All initiated by a command like "Advance our quantum algorithm research." This could dramatically accelerate R&D cycles and scientific breakthroughs.. https://lnkd.in/eJbg6cnD #frontiertech #AI #futurefrontier

I’m excited to share that I had the opportunity to attend the session on "AI Horizons: Exploring Real-world AI Applications" as part of the 2023-2024 Google exploreCSR initiative at the Department of Computer Science, University of Jaffna. This session offered incredible insights into applying AI in real-world scenarios and emphasized the importance of ethical considerations in AI research. It was an amazing experience to deepen my understanding of AI and its impact on technology. #DepartmentOfComputerScience #UniversityOfJaffna #GoogleResearch #GoogleExploreCSR

In this paper, our team proposes the first general method, dubbed composite active learning (CAL), for multi-domain AL. Their approach explicitly considers the domain-level and instance-level information in the problem; CAL first assigns domain-level budgets according to domain-level importance, which is estimated by optimizing an upper error bound that we develop; with the domain-level budgets, CAL then leverages a certain instance-level query strategy to select samples to label from each domain. Learn more clicking below! #domainadaptation #activelearning #OOD #rutgersuniversity

AI's Latest Challenge: The Math Olympics | News | Communications of the ACM: New York University computer scientist Trieu Trinh developed AlphaGeometry, an AI model that can solve complex International Mathematical Olympiad geometry problems. In tests with 30 problems from 2000-2022, AlphaGeometry solved 25, comparable to the average performance of human gold medalists during the same period. Trinh developed the system as a resident at Google. - Artificial Intelligence topics! #ai #artificialintelligence #intelligenzaartificiale