Travel Massive Asia Conference 2026, Da Nang

⌖ Da Nang

Hosted by International Research Forum for Scientific Research (IRFSR)

ICAIRME brings AI, robotics and mechanical engineering researchers together in Da Nang, Vietnam, on 3–4 January 2027 to share research, practical solutions and emerging innovations. Organised by the International Research Forum for Scientific Research, the International Conference on Artificial Intelligence, Robots and Mechanical Engineering creates an interdisciplinary meeting point for academic scientists, engineers, research scholars, practitioners, educators and industry leaders. Its focus is not only on advancing research, but also on encouraging international cooperation and work with tangible real-world impact. What the conference covers ICAIRME centres on the relationship between artificial intelligence, robotics and mechanical engineering. Participants will exchange research results and experiences while examining: - Recent innovations and trends in robotics and artificial intelligence - Applications of AI within mechanical engineering - Practical challenges encountered by researchers and practitioners - Solutions and approaches adopted across the field - Opportunities for cooperation between researchers, international communities and industry The programme is particularly relevant to people conducting or applying research in these areas. It offers experienced academics and industrial representatives a forum for discussion while giving research scholars and educators an opportunity to present work, hear different perspectives and build connections across disciplines. In-person and virtual formats The on-location programme begins at 9:00am with registration and tea or coffee. An inaugural speech and conference theme presentation follows, before an extended poster and physical presentation session. The schedule also includes virtual presentations, a lunch break, an award function and a closing ceremony. In-person attendance provides direct networking, physical conference materials, live Q&A and complimentary refreshments.… Register for this event

⌖ Amsterdam · Amsterdam, Netherlands

Build your first AI app at this AI4ALL masterclass in Amsterdam on 29 October 2026. Designed for people ready to move from exploring AI to creating an application, AI4ALL Masterclass: Build Your First AI App is an in-person learning event in Amsterdam, Netherlands. The published event page does not yet provide a detailed agenda, speaker line-up, experience requirements, timings or specific tools that will be used. Check the event listing for registration availability and further programme updates. Register for the AI4ALL Masterclass

⌖ Location TBC · The Westin Seaport District, Boston

Hosted by AI Accelerator Institute

The Agentic AI Summit Boston brings together engineers, developers, and technical leaders focused on deploying production-ready AI agents that deliver real business value. Taking place on October 29, 2026 at The Westin Seaport District, this summit cuts through the AI hype to deliver practical insights from builders actively shipping agentic systems at scale. What Makes This Summit Different This isn't another AI conference filled with marketers and expo halls. The Agentic AI Summit Boston is specifically designed for the engineers, researchers, and technical executives who are building the next generation of autonomous AI systems. With over 60 confirmed speakers from companies like NVIDIA, Waymo, Google, Amazon, and Fidelity Investments, you'll learn from teams already solving the hard problems of agentic AI deployment. Speakers include Subhankar Ghosh (Senior Applied Research Scientist at NVIDIA), Smitha Shyam (Senior Director of Engineering at Waymo), Shubham Upadhyay (Head of Generative AI at Amazon), and Preethi Raghavan (VP of NLP & Machine Learning at Fidelity Investments), among many others. These practitioners will share real-world implementations, not theoretical possibilities. What You'll Learn The summit addresses the critical challenges engineers face when moving agentic AI from prototype to production. You'll discover proven approaches to conquer blockers in infrastructure, data layer architecture, deployment strategies, and regulatory compliance. Sessions cover orchestration frameworks, cost optimization techniques, reliability patterns, and evaluation methodologies that ensure your agents deliver consistent value. Attendees will validate their technical approaches by assessing the latest use-cases and architectural solutions from companies successfully running agents in production. You'll leave with concrete answers to questions about multi-agent coordination, tool integration, memory management, and failure handling that you can immediately apply to your own systems. Network With 600+ Technical Leaders With over 600 attendees—70% at senior management level—representing 400+ companies, the summit creates unparalleled networking opportunities. Connect with the engineers and technical executives building similar systems, share insights over focused discussions, and build lasting relationships with a community committed to advancing agentic AI. Your single pass grants access to three co-located summits, allowing you to explor

Sponsors: Barndoor AI · PromptQL +13

⌖ Amsterdam · Vrije Universiteit Amsterdam

Hosted by Vrije Universiteit Amsterdam

AI for Education The Netherlands 2026 brings researchers, educators and policymakers to Amsterdam to turn AI research into responsible classroom practice. Hosted by Vrije Universiteit Amsterdam on 29–30 October 2026, this two-day conference examines how evidence, emerging technology and educational practice can better inform one another. Its central theme,“Research meets Practice: Bridging the Gap between Research and Classroom Implementation”,sets the stage for interdisciplinary discussion across academic, professional and policy boundaries. Conference tracks The programme is organised around four complementary areas: - Teacher Professional Development & AI Literacy , frameworks and tools that can help educators develop practical AI literacy in pre-service and in-service settings. - Field Reports: Narratives of Adoption and Practice , candid accounts of classroom adoption, including real-world challenges, lessons and successes. - Ethics, Policy and Responsible Implementation , the ethical, legal and societal implications of educational AI, with a focus on translating principles into usable guidance for schools. - Future Horizons: Emerging Technologies in Education , research and high-potential technologies looking towards 2030 and beyond, including VR, AR and neuro-education. Keynotes and perspectives Keynote presentations will come from Dr Simon See, Global Head of the NVIDIA AI Technology Centre; Professor Eleni Mangina of University College Dublin; Professor Bert Bredeweg of Amsterdam University of Applied Sciences; Dr Y. Cai of Nanyang Technological University; and Dr Ingrid Winkler, Head of the Virtual Reality and Augmented Reality for Industrial Innovation Lab at SENAI University. Together, the tracks and keynote programme make this relevant to researchers, classroom practitioners, teacher educators, institutional leaders and policymakers seeking a grounded view of AI in education. Rather than treating educational AI purely as a technical topic, the conference connects implementation experience with research, governance, professional development and future-facing innovation. HackAStone announcement… Register for this event

⌖ New York · Microsoft Experience Center

Hosted by Mark P.

LLMday brings engineers, researchers and product teams to New York for a full day of practical insight into building, deploying and operating AI systems. Taking place on Thursday 29 October 2026, from 9:00am to 6:00pm EDT, this in-person conference focuses on Large Language Models (LLMs), artificial intelligence and machine learning. It offers a space for people working directly with AI products and infrastructure to compare real-world experience rather than discussing the technology only in theory. What to expect The programme is centred on the practical challenges encountered across the AI system lifecycle. Attendees can expect content relevant to: - Building products and services powered by LLMs - Deploying AI and machine-learning systems - Operating AI systems in real-world environments - AI/ML engineering and cloud architecture - Lessons shared across engineering, research and product disciplines The event page does not yet list individual sessions or speakers, but the latest programme information is available on the official Speakers & Topics page. Who should attend? LLMday is designed for engineers, researchers and product teams working with,or actively exploring,LLMs, AI and machine learning. Its cross-functional focus should be particularly useful for attendees who want to understand how technical research, product decisions and operational requirements come together when moving an AI system into production. The one-day, in-person conference format provides a concentrated opportunity to learn from real implementation experience and meet others facing similar questions around AI development, deployment and operation. Meetup attendees can also access the event chat before the conference to connect with other participants and take part in the conversation. Venue and registration Hosted by Mark P. and the In-Person Tech Events NYC 2026 group, the conference will be held at the Microsoft Experience Center, 677 Fifth Avenue, New York, NY 10022. A Meetup RSVP records interest only and does not complete registration. Tickets must be booked separately through Luma. The organiser is offering 50% off with promo code MEETUP50. Register for LLMday NYC 2026 Q4 or view the event listing.

⌖ Toronto · Hyatt Regency Toronto

Hosted by TESTINGMIND

AI Engineering Summit Toronto 2026 brings 150+ practitioners together for a full day on building, deploying and scaling production AI systems. Taking place on Thursday 29 October 2026, from 9am to 5pm, this in-person summit at the Hyatt Regency Toronto is designed for people turning AI concepts into dependable software. Expect real implementation stories, practical engineering patterns and candid discussion of what it takes to move from code to production, without vendor pitches. What the summit covers The programme is single-track and practitioner-led, with sessions spanning six core themes: - Agentic development: multi-agent systems, tool calling and long-horizon autonomous workflows - AI to production: LLMOps, evaluations, cost and latency management, deployment, monitoring and operating at scale - Responsible AI: red teaming, evaluation frameworks, safety, compliance and governance - AI architecture: RAG patterns, LLM gateways, inference and AI-native system design - AI-first leadership: integrating AI into the software development lifecycle, designing teams and hiring around AI - AI data infrastructure: vector databases, embeddings and the pipelines behind intelligent systems The summit also looks ahead to emerging production standards, including agentic systems and MCP. Rather than focusing only on models or demos, it addresses the architecture, operational discipline and organisational decisions needed to make AI useful, scalable and trustworthy. Who should attend? This is a production-focused event for developers shipping AI-powered products, engineers building intelligent systems, architects responsible for scale and reliability, and technical leaders shaping organisational AI adoption. It is also relevant to compliance and governance professionals working to ensure AI systems are safe and accountable. The content is particularly suited to attendees already involved in building, operating or overseeing AI initiatives. Participants should leave with tools, patterns and informed questions they can bring back to their teams. A conference built for useful conversations… Register for this event