What we’re about
Are you passionate about cutting-edge AI research? Join our ResearchTrend.AI Meetup Group, where we explore the latest advancements, trends, and breakthroughs in artificial intelligence.
This group is for AI researchers, engineers, students, and enthusiasts who want to:
✅ Discuss trending AI research topics
✅ Share insights on recent papers and innovations
✅ Network with like-minded professionals and academics
✅ Attend virtual and in-person meetups featuring expert talks and discussions
Whether you’re deep into AI research or just getting started, this community will keep you updated and engaged with the latest in AI. Let’s connect, collaborate, and push the boundaries of AI together!
Upcoming events (3)
See all- Connect Session | Vision-Language Models (VLM)Link visible for attendees
🔗 Upcoming Connect Session at ResearchTrend.AI 🔗
📅 Date: 2nd July 2025
🕓 Time: 16:00–17:00 (UTC)
📍 Topic: Large Language Model Agents (LLMAG)
🎟️ Register now: https://lnkd.in/ezQbJRJpWe’re thrilled to invite you to our next Connect Session, diving into the world of Large Language Model Agents with expert speakers from IBM Research.
🚀 Agenda:
🔹 16:00 – 16:05 | Welcome & Introduction🔹 16:05 – 16:15 | Dhaval Patel (IBM Research)
📄 AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance🔹 16:20 – 16:30 | Pin-Yu Chen (IBM Research AI)
📄 LLM Agents Should Employ Security Principles💬 16:35 – 17:00 | Interactive Discussion
An open conversation on the future of intelligent agents, challenges in real-world deployments, and secure AI systems.
This session is ideal for researchers, engineers, and AI enthusiasts exploring the frontiers of LLMs in industry and security.
👉 Register here: https://lnkd.in/ezQbJRJp
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hashtag#LLM hashtag#AIagents hashtag#IBMAI hashtag#LLMAG hashtag#MachineLearning hashtag#AIResearch hashtag#AIinIndustry hashtag#SecurityInAI hashtag#ResearchTrend hashtag#ConnectSession
- Connect Session: Advances in Vision-Language Models (VLM)Link visible for attendees
🔗 Connect Session: Advances in Vision-Language Models (VLM)
📅 Date: 2nd July 2025
🕔 Time: 17:00–18:00 (UTC)
📍 Hosted by: ResearchTrend.AI
🎟️ Register now: https://lnkd.in/e8DW4vkwWe’re excited to invite you to an upcoming Connect Session highlighting cutting-edge research in Vision-Language Models, featuring innovative work from researchers at UNC Chapel Hill and UIUC.
🚀 Agenda:
🔹 17:00 – 17:05 | Welcome & Introduction🔹 17:05 – 17:15 | David Wan (UNC Chapel Hill)
📄 CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval🔹 17:20 – 17:30 | Yao Xiao (University of Illinois at Urbana-Champaign)
📄 TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models💬 17:35 – 18:00 | Interactive Discussion
Join the discussion on retrieval, alignment, and representation in state-of-the-art VLMs with two outstanding researchers in the field.
This session is ideal for those working in multimodal AI, information retrieval, and vision-language understanding.
👉 Register here: https://lnkd.in/e8DW4vkw
Follow ResearchTrend.AI to stay connected with leading minds in AI.
- Connect Session: Federated LearningLink visible for attendees
Connect Session: Federated Learning
📅 Date: 2nd July 2025
🕕 Time: 18:00–19:00 (UTC)
📍 Hosted by: ResearchTrend.AI
🎟️ Register now: https://lnkd.in/e5K3zMv5Join us for an insightful Connect Session focused on emerging challenges and solutions in Federated Learning, featuring a distinguished speaker from Eindhoven University of Technology.
🚀 Agenda:
🔹 18:00 – 18:05 | Welcome & Introduction
🔹 18:05 – 18:15 | Qiao Xiao (Eindhoven University of Technology)
📄 Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity
💬 18:20 – 19:00 | Interactive DiscussionDive into critical conversations around data scarcity, decentralized learning, and innovative approaches to enhancing collaboration in federated environments.
This session is ideal for AI researchers, ML engineers, and data privacy advocates eager to explore the evolving landscape of federated systems.👉 Register here: https://lnkd.in/e5K3zMv5
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