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⌖ Singapore · Singapore

Hosted by Aanya Mathur

Autonomous SG 2026 is a six-hour AI buildathon for 300+ builders in Singapore, taking place on Saturday, 31 October 2026. Supported by Anthropic, the event challenges participants to build and ship a production-grade AI prototype within six hours. Problem statements will only be revealed on the day, so teams should arrive ready to build rather than prepare a solution in advance. The top five teams will pitch their work live on stage. Who can take part? The buildathon is open to undergraduates, master’s and PhD students, researchers, engineers and working professionals. You can participate solo or in a team of up to four. One person should register for the whole team and request the corresponding number of tickets. Each participant receives: - $50 in Claude API credits - Lunch - Event swag - Access to a community of more than 300 builders Create a free Claude Console account before the event. Credits apply to the Console organisation and are not Claude.ai Pro or Max subscriptions. The event runs 9:00am–6:00pm GMT+8. The exact Singapore venue is shared after registration. Host approval is required, so requesting a place does not guarantee admission. Questions can be directed to Aanya Mathur on LinkedIn. Request to join Autonomous SG 2026

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Sponsors: Anthropic

⌖ Chiang Mai · Hideaway

Hosted by Chiang Mai Professionals, Expats, and Digital Nomads

Explore Gemini 4 Argon and agentic AI through live workflow stress tests, technical discussion and builder networking in Chiang Mai. Hosted by Chiang Mai Professionals, Expats, and Digital Nomads, this practical meetup takes place at Hideaway on Sunday, 8 November 2026, from 11:30am to 2:30pm ICT. The core interactive programme is described as two hours, with time dedicated to meeting the local community. Rather than another introductory prompting workshop, the session examines how frontier AI performs on substantial coding, business and research tasks. Host Steven Dr S. will share lessons from evaluating agentic computer systems and multilingual STEM and business reasoning with Turing, then compare Gemini 4 Argon with Claude, ChatGPT and other models. What to expect - A community mixer for engineers, founders, researchers, agency owners and remote professionals - A technical look at model evaluation, long-context workflows and calibrated uncertainty - Discussion of Argon’s claimed one-million-token context window, hallucination rate and API pricing - A live lab testing two or three audience-submitted workflows with Gemini 4 Argon and Google Antigravity - An open roundtable covering model trade-offs and priorities for a continuing Chiang Mai AI Builders community Bring a difficult coding, business or research problem if you would like it considered for the live stress test. The venue is Hideaway, 209/154 Moo 10, Muban FengFah Padeat, Mueng Chiang Mai. Register for this event

ClaudeChatGPTGGemini 4 Argon+3 more

⌖ New York

Hosted by AI Accelerator Institute

Generative AI Summit brings 500+ engineers and executives to New York on 3 June 2027 to build and scale production-ready AI systems. Designed for people actively building and shipping AI,not simply watching the market,the summit aims to replace months of trial and error with practical insight into what works in production. Organised by AI Accelerator Institute as part of AIAI New York, it focuses on the technical, operational and leadership challenges involved in bringing applied AI products to market. What to expect The programme centres on focused discussions rather than a vast expo hall or marketing-led presentations. Attendees can expect conversations spanning: - Foundational models, LLMs and autonomous systems delivering measurable performance at scale - Generative AI infrastructure, model operations and production tooling - Agent architectures, orchestration and real-world agentic applications - Inference, evaluation and continuous fine-tuning - Live architecture benchmarks and approaches to scaling - Enterprise AI strategy, information security and risk The event is built around learning from peers who are already confronting deployment and scaling challenges. Alongside the content, networking provides opportunities to meet potential partners, innovators and fellow practitioners working on industry-ready AI. Who should attend? This summit is particularly relevant to AI and machine-learning engineers, software engineers, technical architects, model operations and infrastructure teams, product builders, AI leaders and senior executives responsible for enterprise adoption. The material is geared towards practitioners and decision-makers with an active interest in building, deploying or scaling AI systems, rather than a general introductory audience. AIAI New York also brings together co-located summit content covering generative AI, agentic AI and executive AI leadership, with multi-track access promoted by the organiser. This creates a useful meeting point between hands-on builders and the leaders setting strategy, governance and risk priorities.… Register for this event

ChatGPTClaudePerplexity

⌖ 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

⌖ San Francisco · Hyatt Regency Burlingame

Hosted by Open Data Science Conference (ODSC)

Learn to build production-ready AI systems in just seven weeks with the AI Engineering Accelerator bootcamp, a hands-on training program that bridges the gap between using AI and building it. Running from June 9 through October 29, 2026, this intensive program combines virtual instruction with a multi-day in-person capstone at the Hyatt Regency Burlingame during ODSC AI West 2026. Designed for professionals ready to move beyond tutorials, the Accelerator provides comprehensive training in the core disciplines of modern AI engineering: large language models (LLMs), agentic AI systems, and production deployment. You'll gain practical experience with the latest tools and frameworks used by leading AI teams, learning not just how to use AI, but how to architect, build, and ship AI-powered applications. Program Structure The bootcamp follows a hybrid learning model that maximizes flexibility while ensuring hands-on engagement. Starting with the Summer Cohort on June 9, you'll participate in virtual training sessions led by experienced AI practitioners. The program culminates in an intensive in-person segment from October 27-29, 2026 at the Hyatt Regency in Burlingame, California, integrated with the main ODSC AI West conference. This dual-format approach allows you to build foundational knowledge remotely while maintaining your current work commitments, then apply those skills in collaborative, hands-on projects during the in-person sessions. You'll also gain full access to ODSC AI West's conference tracks, expo, and networking events. What You'll Learn The curriculum focuses on production-grade AI engineering, covering: - LLM development and deployment — Fine-tuning, prompt engineering, and optimization techniques - Agentic AI systems — Building autonomous agents and workflow automation - AI Engineering fundamentals — MLOps, model serving, monitoring, and scaling - Real-world implementation — Moving from prototype to production with confidence Organized by Open Data Science Conference, which has spent 11 years training thousands of AI engineers and data scientists, the Accelerator draws on ODSC's deep expertise in practical AI education. The program features specialization tracks tailored to different AI engineering domains, allowing you to focus on the areas most relevant to your career goals. Who Should Attend This bootcamp is designed for professionals who already work with AI tools and are rea

⌖ Sheffield · The Edge, University of Sheffield, 34 Endcliffe Crescent, Sheffield, S10 3ED

Hosted by APRIL

The APRIL AI Hub Annual Summit 2026 brings together researchers, practitioners, and innovators at the forefront of artificial intelligence and machine learning for a full day of knowledge sharing and collaboration in Sheffield. Taking place at The Edge at the University of Sheffield, this conference serves as the flagship annual gathering for the APRIL (AI for Precision Medicine and Healthcare, Privacy, Reproducibility, Interpretability, and Learning) community. As the second annual summit following the inaugural event in Edinburgh, this conference continues APRIL AI Hub's mission to advance responsible AI research and practice across healthcare, precision medicine, and beyond. The summit provides a vital platform for cross-sector dialogue between academic researchers, industry partners, healthcare professionals, and policy makers working at the intersection of AI, ethics, and real-world applications. What to Expect While the detailed programme is still being finalised, attendees can expect a comprehensive agenda featuring: - Keynote presentations from leading figures in AI research and healthcare innovation - Research showcases highlighting cutting-edge work in precision medicine, privacy-preserving AI, reproducible research methodologies, and interpretable machine learning - Panel discussions exploring the ethical, regulatory, and practical challenges of deploying AI systems in sensitive domains - Networking opportunities to connect with peers across academia, industry, and healthcare sectors - Poster sessions and demonstrations of ongoing research projects Who Should Attend This summit is designed for: - AI and machine learning researchers working on healthcare applications - Data scientists and engineers building trustworthy AI systems - Healthcare professionals interested in AI-driven precision medicine - Policy makers and ethicists concerned with responsible AI deployment - PhD students and early-career researchers in AI and related fields - Industry partners exploring AI applications in regulated environments About APRIL AI Hub The APRIL AI Hub represents a collaborative initiative advancing responsible AI research with particular emphasis on healthcare applications, data privacy, reproducible science, interpretable models, and robust learning systems. Previous APRIL events have established a strong reputation for bringing together diverse perspectives on the challe