[RCAC Workshop]AI Ecosystem 2026: What’s New and What Matters
📅 Date: September 25th, 2026 ⏰ Time: 1PM 💻 Location: Virtual 🏫 Instructor: Ashish
Description: The AI landscape is evolving at an extraordinary pace, with new models, tools, frameworks, and deployment strategies emerging across both research and industry. AI Ecosystem 2026 provides a practical overview of the most important developments shaping the field and helps participants separate meaningful advances from short-lived trends. Rather than focusing only on individual model releases, this session looks at the broader ecosystem, including reasoning models, multimodal systems, open-source AI, agentic workflows, model infrastructure, and the growing role of AI in scientific and enterprise environments.
We will also examine how the AI stack is changing, from foundation models and inference platforms to orchestration tools and emerging standards. The goal is to give attendees a clearer understanding of where the field is heading, which technologies are becoming more important, and what organizations and researchers should be paying attention to as they plan future AI projects.
Who Should Attend Researchers, developers, data scientists, research software engineers, technical leaders, faculty, and professionals who want a current understanding of the rapidly changing AI ecosystem. This session is especially useful for those evaluating new AI technologies, designing AI-enabled workflows, or deciding which tools and trends are worth investing time in.
Topics
Major AI trends shaping 2026 Reasoning models and emerging model capabilities Multimodal AI across text, image, audio, and video Open-source versus proprietary AI ecosystems AI agents and agentic workflows Model orchestration, tooling, and development frameworks Inference, deployment, and infrastructure trends What matters most for research, enterprise, and scientific computing
Level Intermediate. Attendees should have a basic familiarity with AI and generative AI concepts, but deep technical expertise is not required.
Tags: AI 🔗 Register now: LINK