Emergence AI’s Post

Soon we all talk to AI Agents to achieve any task. But how far away are we actually from this futuristic world? It is good that we have some scientists like Xing Han Lu 🦙 creating benchmarks for agentic models to make this zoo of agents a bit more transparent. Even though agents are often advertised as magic solutions, they struggle with complex tasks. Enjoy his presentation. Since this is such a wide topic, let me know in the comments if you have any questions. 👇 Paper: "WebLINX: Real-World Website Navigation with Multi-Turn Dialogue " (https://lnkd.in/eme6jK9g) Authors: Xing Han Lu 🦙, Zdeněk Kasner, Siva Reddy From: Mila - Quebec Artificial Intelligence Institute, McGill University, Charles University [ICML] Int'l Conference on Machine Learning #icml2024

I had the privilege of attending the Government and Public Sector Forum on Artificial Intelligence hosted by the Ministry of Innovation, Science, and Technology. It was an educational day with important discussions and lectures on subjects such as: • Prof. Gal Chechik's overview of artificial intelligence and what the near future holds for AI technology. • Ben Haklai’s evaluation of generative AI technologies, along with reviews of AI tools that are already widely used or are expected to become part of our everyday lives. • Dr. Omri Rachum-Twaig’s review of the European AI Act – covering its scope, structure, core principles, and the challenges it presents. After these interesting presentations, as well as several other insightful talks, we transitioned into roundtable discussions with members from the public sector to address the responsible use of AI. It was great to reconnect with colleagues from across the public sector and discuss important issues regarding Israel’s technological and regulatory future. The collaborations sparked by this forum will help ensure that Israel remains at the forefront of technological progress, as it is today. A special thanks to my university friend Josef Gedalyahu for organizing the conference and inviting me to take part. #AI #MachineLearning #GenerativeAI #AIRegulation #Innovation #PublicPolicy #EuropeanAIAct #ArtificialIntelligence #ResponsibleAI #IsraelTech

Marlene Mhangami gave a keynote over remote video here at #pyconafrica2024. Her presentation of some (quoted) grand claims about AI reminded me of the term's origin > On September 2, 1955, the project was formally proposed by [John] McCarthy, Marvin Minsky, Nathaniel Rochester and Claude Shannon. The proposal is credited with introducing the term 'artificial intelligence'. > We propose that a 2-month, 10-man study of artificial intelligence be carried out during the summer of 1956 [...] The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. [...] 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. Marlene Mhangami #pyconafrica24

🎉 Exciting Announcement! Our Paper on "Prompt Engineering for Improved AI Responsiveness" is Now Published in IJCRT! 🚀 We are thrilled to share that our research paper titled "Prompt Engineering for Improved AI Responsiveness: Methods and Case Studies has been officially published in the International Journal of Creative Research Thoughts (IJCRT) This paper delves into innovative methods for fine-tuning AI models using prompt engineering to enhance their responsiveness and accuracy. We’ve also included case studies that showcase how this approach can be applied to various real-world AI applications, making systems smarter and more efficient. A big shoutout to our incredible mentors RAJU MITHRA KANTHETI Sir and Shanmukh Malyala Sir, whose constant guidance and support were pivotal in making this paper a reality. #AI #PromptEngineering #MachineLearning #ArtificialIntelligence #Research #CaseStudies #IJCRT #TechInnovation #AIResponsiveness #AIResearch #Innovation #DataScience #FutureOfAI #AIModels #TechCommunity #AcademicSuccess #Gratitude #ShapingTheFuture #AIResearcher #CreativeResearch

📢 We are delighted to announce the publication of the inaugural article of the ACM Transactions on Autonomous and Adaptive Systems (TAAS) Editor’s Special Collection Series. Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap, By: Jialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, and Kenji Tei This article provides researchers and practitioners a comprehensive snapshot that outlines the potential benefits and challenges of employing GenAI’s within self-adaptive systems (SASs). It draws a research roadmap that starts with outlining key research challenges that need to be tackled to exploit the potential for applying GenAI in the field of SAS, and concludes with a practical reflection, elaborating on current shortcomings of GenAI and proposing possible mitigation strategies. We thank the authors for the excellent article and hope to start a lively dialogue in the community. https://lnkd.in/g27sQVuD #GenAI #SelfAdaptiveSystems #HCI #roadmap Rami Bahsoon, ACM Digital Library

🌟 Dive into the world of AI incidents and related terms with this comprehensive guide by OECD - OCDE publishing! 🧠💻 Explore the intricacies of artificial intelligence mishaps and their implications. 📚 Credits to OECD - OCDE for shedding light on this crucial topic. #AIIncidents #OECD #CyberRescue

Natalie Meyers is a Professor of the Practice at the Lucy Family Institute for Data & Society. Recently, Meyers was also appointed as the first AI Researcher in Residence at the Association of Research Libraries. Her work focuses on findable, accessible, interoperable, and reusable (FAIR) best practices for data & model sharing for computationally intensive research. Additionally, Meyers works to identify the strategic implications of #AI use in research libraries. The R.I.S.E. (Responsible, Inclusive, Safe, and Ethical) AI Conference will convene at the University of Notre Dame on October 6-9,2025. This transformative event will bring together global leaders from academia, industry, government, and non-governmental organizations (NGOs), united in shaping the future of AI to advance the common good. More information about the R.I.S.E. AI Conference can be found here: https://lnkd.in/gqebuxhC To learn more about Meyer's appointment to the Association of Research Libraries, read the announcement here: https://lnkd.in/g99MAS5d #RISE_AI #ResponsibleAI #artificialintelligence

GenAI is rapidly becoming a game-changer in the creative process, enhancing our ability to efficiently search, summarise and refine work. Agentic systems are pushing the boundaries even further, transforming the traditional back-and-forth of chat into a dynamic web of intelligent agents that perform complex tasks with humans remaining firmly in control. Just a few days ago, Sakana unveiled a significant development: The AI Scientist https://lnkd.in/gWdJagty — the first system capable of fully autonomous scientific discovery. This innovative platform can independently navigate the entire research lifecycle — from generating novel ideas and writing code to executing experiments, summarising results and presenting its findings in a polished scientific paper. The system can produce a full research paper at a cost of only $15. What does this mean for the future of research? Are we on the brink of a surge in published papers? And while automating the research lifecycle sounds promising, could it potentially undermine the creative spark that drives true innovation?

Exploring the future of research and technology with Douglas Heintz at the EBSCO Open Day in London. His session on EBSCO and AI highlights how artificial intelligence is transforming the way we discover, access, and engage with information. From advanced search capabilities to personalized research tools, Douglas shared exciting innovations shaping the academic and research landscape. A glimpse into the possibilities of AI-driven solutions for empowering knowledge! #EBSCOOpenDay #ArtificialIntelligence #AIInResearch #Innovation #AcademicTechnology #KnowledgeDiscovery #FutureOfResearch #EBSCO

Struggling to scale massive collections of documents while keeping high accuracy, low computational costs, and minimal vector storage requirements? In his recent blog post, Jo Kristian Bergum demonstrates how to leverage a phased retrieval and ranking pipeline in Vespa to scale ColPALI to billions of documents—all without compromising on performance. 🚀 Learn how to: - Optimize search efficiency for large-scale document collections. - Reduce resource consumption while maintaining top-tier search accuracy. - Harness Vespa’s capabilities for phased retrieval and intelligent ranking. 💡 If you're working with large-scale search systems and want to stay ahead of the curve, this is a must-read! Link in comments 👇 #AI #search #rag #genai #InformationRetrieval #ColPALI