Edinburgh Innovations’ Post

Leading Universities in Canada for AI and Data Science https://rb.gy/wujyqg Explore the top Canadian universities excelling in AI and data science, featuring cutting-edge programs, renowned faculty, and strong industry ties. #UniversitiesinCanadaforAIandDataScience #UniversitiesinCanada #UniversitiesforAI #UniversitiesforDataScience #LeadingUniversitiesinCanada #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Virginia Tech's Kohl Centre hosted a workshop exploring causality in machine learning and AI, bringing together scholars from multiple universities. The event focused on understanding cause-and-effect relationships beyond simple correlations. ** Key Highlights * Participants discussed various topics related to causal inference, including: - Causality in generative AI - Trustworthy machine learning - AI applications in 6G security - Policy evaluation techniques Dan Sui, senior vice president and chief research officer, emphasized that causality helps researchers understand  why something happens, not just that things are correlated. Jacek Kibilda, a presenter, praised the workshop's transdisciplinary nature, highlighting its value for idea exchange and collaboration across different research domains. The Kohl Centre, directed by Le Wang, serves as a hub for advancing data analytics solutions in applied economic problem-solving, demonstrating Virginia Tech's commitment to innovative research. #ai #genai #generativeai #llm #ml #bigdata #causality #CausalInference

We are proud to introduce Austin Stromme, one of our latest Hi! PARIS Center - AI for Science, Business & Society Chair holders at ENSAE Paris. With a background from MIT, where he completed his PhD in computer science, Austin brings his expertise to the Hi! PARIS community as an assistant professor of statistics. He chose to join the center for its exceptional support for interdisciplinary and fundamental #research, as well as the outstanding research environment in Paris, known to be one of the best in the world. Austin's research is centered on the #mathematicalfoundations of #AI, with a special focus on #optimaltransport. A core part of his work focuses on understanding when and how optimal transport can be effectively applied, especially in high-dimensional #data contexts, such as #imageprocessing. His research has broad applications, including: 🔬 Advancing our understanding of machine learning systems and their efficiency in high-dimensional data 📊 Applying mathematical insights from optimal transport to modern AI challenges 🌐 Opening up new theoretical perspectives that bridge mathematics, machine learning, and statistics We are excited to see how Austin’s research will shape the future of AI theory and practice, driving advancements that benefit science, business, and society. #HiPARISCenter #AI #MachineLearning #DataScience #Mathematics Gaël Richard, eric Moulines, Nicolas Vieille

🖥️ Professor of Data Science Kostas Stefanidis is committed to advancing fairness in artificial intelligence (AI). “Explainable algorithms that address the black box problem of AI would boost user trust," he says. ✨ Stefanidis leads the Data Science Research Centre and the Recommender Systems Research Group at Tampere University, developing big data management and analytics. “My goal is to facilitate effective and equitable access to information in an era of data-driven decision-making," he says. 👉 Read more: https://lnkd.in/dxP7xbvc Tampere University, Faculty of Information Technology and Communication Sciences #Data #BigData #DataScience #AI 📸: Jonne Renvall / Tampere University

At the recent “AI Aspirations” summit, The White House’s Office of Science and Technology Policy showcased how AI is being used to enhance services for the public. This comes as research firm Forrester found that customer experience has declined for the third year in a row across both public and private entities. The Internal Revenue Service ranked last despite announcing a range of improvements for the 2024 filing season. https://lnkd.in/gP2qSwc8 Federal agencies highlighted by the White House include: -NOAA: National Oceanic & Atmospheric Administration using AI for weather forecasting by creating faster and more accurate weather models.  -The National Science Foundation investing in AI research and development to address societal challenges and needs.  -U.S. Department of Education is integrating AI into educational programs and initiatives to improve student and educator experiences.  https://lnkd.in/gE-sSuix

The talk will give an overview of the fantastic community behind MLCommons, and then dive deeper into my own contribution as co-chair of a working group that defines a vocabulary to describe ML datasets for a range of use cases including dataset discovery, interoperability of loading data across ML platforms, and responsible AI. Slides to follow :-)

"Unlock the future with BIA! Enroll now in our cutting-edge Data Science and Artificial Intelligence course. Admissions are open grab this opportunity to master the skills that will shape tomorrow. #BIATechCourses #BIA #technology #admissions #admissionopen2024 #AdmissionOpen #2024 #datascience #AI #dataanalytics #datasecurity

I am happy to announce the publication of my latest article on the use of machine learning to predict country-level CO2 emissions. The study "Determinants of CO2 Emissions: A Machine Learning Approach" published in International Advances in Economic Research presents research that directly compares the predictive capabilities of machine learning models with traditional econometric models. Key Insights: 1️⃣ Advanced Machine Learning: Artificial Neural Networks (ANN) outperformed all other models, showcasing incredible precision with a 98% R-squared value on the test dataset. 2️⃣ Critical Variables Identified: GDP per capita and agriculture’s value-added contribution are significant determinants of per capita CO2 emissions. 3️⃣ Enhanced Predictive Power: Machine learning, particularly ANN, holds immense potential for improving our forecasting abilities, offering a robust tool for policymakers. ESSCA Research Marie Le Borgne-Larivière (Costes) Silke Leukefeld IPCC Valuation and Sustainability #AIforSustainability #EnvironmentalPolicy #MachineLearning #ESSCA

Curious about what the future might hold? (These days, who isn't?) Check out these talks from the Schwartz Reisman Institute for Technology and Society and gain an expanded, #interdisciplinary perspective on #ai and #machinelearning.

🌟 Exciting Development Alert! 🌟 In an era where safeguarding democracies is paramount, a groundbreaking study by UF Professor of Political Science, Badredine Arfi, is reshaping global efforts to protect democratic principles. Published in the open-access journal Quality & Quantity, Arfi's research unveils an innovative approach to understanding and deterring threats to democratic systems worldwide, harnessing the immense potential of AI technologies. Arfi's study pioneers the integration of AI methodologies into social science research, offering methodological tools to interpret social data with unprecedented accuracy. By combining topological data analysis, Bayesian statistics, and machine learning, Arfi has developed a novel three-fold approach to survival analysis, exploring the probability and factors influencing events, such as democratic survival, from 1950 to 2010. This breakthrough not only overcomes existing limitations in social science research but also opens fresh perspectives across the entire spectrum of social sciences. As a political science student, this research is particularly relevant to me as it represents a significant milestone in the intersection of AI and political science. Arfi's work demonstrates how AI-driven social science research can revolutionize our understanding of complex political phenomena, offering new avenues for informed decision-making and policy formulation. Don't miss out on this groundbreaking study shaping the future of political science! 🚀📊 [Link to the Article] https://lnkd.in/g3UScR2Q