Open Data Institute’s Post

🥁 We are excited to introduce Yasar Abbas Ur Rehman, a contributor to Flower during the Summer of Reproducibility! (SoR) 🙌 Yasar is a 🧪 Research Scientist at at the TCL AI lab in Hong Kong. Yasar implemented FedVSSL from the paper "Federated Self-supervised Learning for Video Understanding" as a new Flower Baseline! This work was done together our own Yan Gao. This baseline gives Flower a built-in support for unsupervised video representation learning! Yasar and Yan were the two primary authors on the original paper, and so there are no better contributors for such a technique. Thanks for your valuable contribution 👏🏻 🌌 Find the FedVSSL baseline: https://buff.ly/49GZSgi 📑 Access the original paper: https://buff.ly/3SN8dYK The full ⌨️ author list for the original FedVSSL paper were: Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, and Nicholas Lane

From the origins of AI to its impact on our daily lives, Jacob Schrum, Associate Professor of Computer Science at Southwestern University, unpacks the history, science, and future of AI in part one of our two-part video series. 🤖

It was my pleasure to give an oral presentation on GenAI applications for co-crystal design at the AAAI workshop "AI to Accelerate Science and Engineering" (https://ai-2-ase.github.io). It was remarkable to see how prominent the idea of inverse design powered by Bayesian optimization is in materials science and manufacturing, while the interest towards LLM applications remains careful and limited. In any case, it was a great event that deserves more public attention. Curious to see the agenda for next year's AI2ASE!

The Dublin Core Data Institute (DCDI) Conference is just two weeks away! Haven't registered yet? There's still time! Secure your spot at dcdata.institute. At the link below, read more about the conference and opening keynote speaker, Martin Puchner, the Byron and Anita Wien Professor at Harvard University. Puchner is a prize-winning author, educator, public speaker, and institution builder in the arts and humanities. Entitled “Artificially Intelligent: Human Creativity in the Age of AI”, his lecture will explore the impact of AI on the practice of art making as well as on the conception of art. https://lnkd.in/g6Htzr-G

🚀 Exciting Update! Check out this new research on "GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration" just published on arXiv (2403.17089v1). The study explores the potential of large language models like ChatGPT in revolutionizing human-AI interaction and redefining information access paradigms. Dive into the comprehensive framework developed to enhance LLMs' ability in navigating long-term and significant life tasks, ultimately transforming human decision-making processes and task management. Don't miss out on this groundbreaking research! Read the full post here: https://bit.ly/3IXiCN7

What if you could unlock the secrets of human behavior using cutting-edge technology? 🧠✨ Today, we’re diving deep into the power of Generative AI in social science research methods at an inspiring symposium in Melbourne. We're in the company of some of the sharpest minds in the field, collaborating to push the boundaries of what’s possible. Imagine the insights we could gain, the patterns we could identify, and the solutions we could create by harnessing the potential of AI. Curious about how Generative AI can revolutionize social science? Join the conversation and explore with us! 🔗 [Discover more in our full discussion](https://lnkd.in/gpxjqNfp) #GenerativeAI #SocialScience #Innovation

Happening tomorrow! Don’t miss your chance to get a sneak peek at some of the research we’re presenting at NeurIPS this year! 👇 Join us for our next webinar introducing a novel approach to improving LLM alignment. This talk is based on a NeurIPS 2024 main track paper from Scale’s research team. 🗣️ Webinar: Aligning LLMs with Representation Learning ⏰ When: Dec 4 10AM PT 🙋 Who: Sean Hendryx, Head of Generative AI/ML at Scale and Vaskar Nath, ML Research Engineer at Scale What you’ll learn: 👉 a novel architecture for reward modeling that achieves large improvements on both math and natural language tasks. 👉 how to implement goal-conditioned rewards into post-training and decoding pipelines to reduce computational costs. 👉 new directions for developing more reliable, efficient, and interpretable AI systems Save your spot today! https://lnkd.in/gDt4qHiP

Imagine into this conversation walks a clairvoyant with a crystal ball 🔮 and gives you a chance to ask three (3) questions about the future. What would you ask❔ This question, the Crystal Ball Thought Experiment (CBTE) has been one of my favorites for a long time. In an article just published in Futures and Foresight Science, I had a chance to explore its many upshots. The paper is about building AI bots 🤖 to prepare students for engaging stakeholders in fieldwork. The paper, co-authored by a dream team of Rui Pedro Gonçalves, Nicholas Rowland, and Niels Gorm Malý Rytter, is free to download: https://lnkd.in/d_sDFVG9

🚨 Correlation ≠ Causality: The AI Trap We're All Falling Into 🚨 You've heard it before, but are you REALLY listening? While everyone's busy building AI castles on correlation quicksand, we're here asking: How do we stop the AI world from going full 🤪 because of statistical illusions? Spoiler: "To build truly intelligent machines, you gotta teach them cause and effect" When I joined Crunch as a co-founder, I didn't just see a competition platform. I saw the secret sauce, the model layer of the AI layer cake And guess what? We're baking it. Right now. With 5,000+ data scientists crunching hard A massive thanks to our team and ADIA Lab for joining us (again!) on this great journey to the Causal AI frontier Think you're ready for the AI revolution? Think again. Crunchers be Crunchin' while others be guessin' 😎