Mayank Agrawal’s Post

Multi-agent AI systems are unlocking new possibilities. General Partner Joanne Chen’s conversation with Chi Wang, creator of Microsoft's AutoGen and now Senior Staff Research Scientist at Google DeepMind, explores how multiple specialized AI agents working together can tackle complex tasks beyond the reach of single models. Listen as they discuss best practices for building these systems and their implications for the future of AI: https://lnkd.in/esNbZ_72

Associate professor of data science, Gianluca Guadagni, joined forces with more than 20 colleagues from universities around the world to assess the risks and opportunities associated with open-source generative AI. Meta, the parent company of Facebook, provided support and logistical assistance for the group’s efforts but did not otherwise influence the editorial direction of their work. In a research paper, which was presented at this summer’s prestigious International Conference on Machine Learning, the group argues for the development of responsible, open-source generative AI models. To read more, click here: https://bit.ly/3YsGD7H #AI #ArtificialIntelligence #DataScience #Meta #MachineLearning

Can Google Scholar Survive the AI Revolution? Learn More: https://lnkd.in/eS6F4DSw As Google Scholar celebrates its 20th anniversary, it finds itself at a crossroads in the rapidly evolving landscape of academic research tools. While it has long been a cornerstone for researchers seeking scholarly articles, the rise of AI-powered platforms poses significant challenges to its dominance. Here’s a closer look at the factors influencing Google Scholar’s future in the age of AI.

Learn about the future of Human / AI augmentation in my Superhuman Future Keynote at the What's Next Forum at Google Zurich today. I'm excited to share with you a vision of the future where we will not be outcompeted but enhanced by AI, and I'll outline some surprising skills to develop that will help you thrive during the changes ahead. https://lnkd.in/e6yzVX_N

The Consensus AI research assistant has added lots of new features since I last reviewed it a year ago, including a powerful AI copilot. In this video I demo a range of those new features as well as the main literature search functionality.  #ai #research https://lnkd.in/d4r9ug7A

Stanford Institute for Human-Centered Artificial Intelligence (HAI) highlights the soaring training costs for AI models and the resulting unequal access to compute in the AI Index Report 2024. For AI to equitably proliferate throughout our world, it's key to establish the right to build and computational liberty for everyone – a vision that we at Gensyn are actively pursuing.

More on the approaches for predicting way beyond the next word based on the brain research.

How does the brain work? How can we use that knowledge to create algorithms? Essentially this is at the core of AGI. Read this paper. Thank you Arnab #artificialintelligence #ai #agi #machinelearning #ml

'Never bet against hungry grad students' is one good reason to support #opensource in #AI but even better is the argument that #smallmodels are more performant and cheaper to run. #innovation in #genai will gravitate towards #openmodels and drive faster adoption. But don't believe me - listen to Matt Hicks (Red Hat CEO) and Ruchir Puri (IBM's #Chiefscientist for Research) in this 15 minute session from #Think24

#AI is a pretty interesting topic for me. So I decided to enroll in a Google AI Essentials course. As part of the course, I have learned about a free, robust resource from Google: https://lnkd.in/g_qcBfCK. The site provides highly accessible and digestible insights on AI fundamentals, issues, and research. I highly recommend checking it out if you want to learn more about AI!