Mindstone Cambridge January AI Meetup

⌖ Bangkok · Treehouse Cafe & Bar

Hosted by Jaume R.

Build AI products people will pay for at this informal builders meetup in Bangkok, taking place on 25 October 2026 at Treehouse Cafe & Bar. From AI idea to paying customer Vibe Coding Products in Bangkok brings together people who are using AI to turn early ideas into useful, launchable products. Hosted by Jaume R., this first edition creates a relaxed setting where builders can show their work, compare approaches and help one another make progress. The meetup runs from 5:00pm to 7:00pm ICT on Sunday, 25 October 2026 at Treehouse Cafe & Bar, 20 Sukhumvit 31 in Watthana. Rather than focusing only on code, the conversation will cover the full journey from deciding what to build to finding the first paying customer. Topics and questions may include: - Choosing an AI product idea worth pursuing - Turning a rough concept into a working prototype - Deciding how and when to launch - Working out what to charge - Finding early users and first customers - Getting feedback on a demo or half-built product - Moving an existing product beyond its current stage Attendees may be building with Claude Code, Codex, Cursor or another AI development tool. The emphasis is on sharing practical experiences rather than prescribing one particular stack. Who should attend? All stages are welcome. You might arrive with nothing more than an idea, a prototype that only partly works, or a product already earning revenue. You do not need a technical background, and you do not need to have made money from your project. Curiosity, a desire to build something useful and the motivation to keep moving are enough. Bring a demo if you have one, a question you want to explore, or a specific problem that has slowed you down. You can also come simply to meet other locally based AI builders and learn what they are creating. A conversational builders meetup Expect informal, peer-led conversations rather than a formal lecture or highly structured workshop. The format is designed for swapping ideas, receiving direct feedback and discussing both product development and commercial decisions with people who also want to ship. Attendees can additionally use Meetup’s event chat to connect before the session begins. View the event and registration details

ClaudeCursor

⌖ 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

Claude

Sponsors: Anthropic

⌖ 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

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⌖ Cambridge · The Glasshouse @InnovateCambridge

Hosted by Cambridge Centre for Data-Driven Discovery

Explore how the Financial Times turns data and AI strategy into organisational value with Chief Data Officer Kate Sargent at this University of Cambridge seminar. From research to real-world AI Taking place in person on Tuesday 27 October 2026, from 4:00pm to 5:00pm, this Beyond Academia seminar offers a practical perspective on deploying data science and artificial intelligence beyond the university environment. The session will be held at The Glasshouse @InnovateCambridge, 100 Hills Road, Cambridge, CB2 1LQ. The Beyond Academia: AI & Data Science Applications series is designed to bridge the gap between high-level research and implementation inside organisations. Invited leaders and professionals examine the technical, architectural and operational realities of AI innovation while introducing attendees to career opportunities outside academia. Hear from Kate Sargent Kate Sargent, Chief Data Officer at the Financial Times, is responsible for the organisation’s Data and AI Strategy and for creating value from its data assets. Since joining the FT in 2023, she has led its award-winning Data & AI Governance, Data Science & AI, Analytics, Research and Business Intelligence disciplines. Kate brings 30 years of experience across major consumer-facing organisations in retail, travel and media. Her work focuses on using data to understand and influence customer behaviour and generate commercial value. Alongside her executive role, she is an industry commentator, board adviser and mentor, with a particular commitment to early-years skills development and increasing awareness of careers in data and analytics. Attendees can expect insight into: - How data and AI strategy operates within a global media organisation - The challenges and opportunities involved in implementing AI innovation - The role of governance, analytics, research and business intelligence - Translating data assets into practical and commercial value - Non-academic career pathways in data science and AI The format is an engaging one-hour talk with plenty of opportunity for audience Q&A, giving researchers and students direct access to an experienced data leader. Who should attend?… Register for this event

Sponsors: Bennett School of Public Policy · C2D3

⌖ Cambridge · West Hub, Room E, University of Cambridge

Explore how cutting-edge AI research becomes scalable, real-world products with BBC Head of Applied AI Dr Nikolay Burlutskiy in Cambridge on 10 November 2026. This in-person Beyond Academia: AI & Data Science Applications seminar offers a practitioner’s perspective on moving artificial intelligence beyond research and into complex organisations. Hosted by the Cambridge Centre for Data-Driven Discovery (C2D3), it takes place from 4:00–5:00pm on Tuesday 10 November 2026 in Room E at the University of Cambridge’s West Hub, JJ Thomson Avenue, Cambridge. From AI research to deployment The Beyond Academia series bridges the gap between high-level academic research and real-world implementation. Its invited talks examine the technical, architectural and operational challenges involved in deploying AI innovation, while also highlighting career paths outside academia. The format is an engaging one-hour talk with plenty of opportunity to put questions directly to the speaker. Attendees will hear from Dr Nikolay Burlutskiy, Head of Applied AI at the BBC, where he focuses on translating advanced AI research into scalable products used by millions. His career spans more than 15 years across AI research, technical product development and international enterprise strategy. Burlutskiy’s experience includes: - Serving as Senior Engineering Manager at Mars and leading the architecture and deployment of the Mars AI Experiences platform, an enterprise generative AI capability supporting more than 170,000 associates. - Working as Director of ML & AI at AstraZeneca, where he led scientists and engineers applying generative AI and computer vision to drug discovery, clinical data harmonisation and histopathology automation. - Leading AI technical product development at Sweden’s ContextVision and contributing to the creation of spin-out Inify. - Beginning his industry career as an AI engineer at Samsung Electronics in South Korea. He holds a PhD in AI, has more than 35 peer-reviewed publications and US patents, and contributes to the wider AI community as a speaker, conference organiser and reviewer. Who should attend?… Register for this event

◎ Online

Hosted by Massachusetts Institute of Technology (MIT)

Build production-ready AI and machine learning solutions without writing a single line of code. This comprehensive 12-week online program from MIT Professional Education transforms aspiring data scientists and business professionals into AI practitioners through hands-on, no-code workflows. Starting November 27, 2026, you'll master the latest AI technologies—from supervised learning and neural networks to Generative AI and autonomous agents—using intuitive platforms that eliminate traditional coding barriers. What You'll Master This industry-aligned curriculum covers the complete AI development lifecycle across 10 core modules and additional self-paced content. You'll explore data science fundamentals, prediction methods using regression and neural networks, decision systems, recommendation engines, and computer vision techniques. Advanced modules dive deep into Generative AI foundations, prompt engineering, and Agentic AI—the cutting edge of autonomous intelligent systems. The program culminates with critical training in ethical and responsible AI deployment. You'll work with powerful no-code platforms including KNIME, RapidMiner, Teachable Machine, ChatGPT, Gemini, NotebookLM, and Dall E. These tools enable rapid prototyping, testing, and operationalization of machine learning models without traditional programming knowledge. Hands-On Learning Theory meets practice through 3 comprehensive projects and over 20 real-world case studies spanning hospitality, marketing and advertising, EdTech, healthcare, food and nutrition tech, and e-commerce. You'll transform raw data into actionable business insights, build classification systems, deploy neural network solutions, and create recommendation engines—all using no-code methodologies that reflect current industry practices. World-Class MIT Faculty Learn directly from MIT's leading researchers and educators, including Stefanie Jegelka, Caroline Uhler, John N. Tsitsiklis, Munther Dahleh, and Devavrat Shah. Their expertise ensures you're learning cutting-edge techniques aligned with academic research and industry application. Flexible Online Format This fully online program requires 6-12 hours weekly commitment over 12 weeks (approximately 80 total study hours). The asynchronous format allows you to balance learning with professional and personal commitments while progressing through structured modules. Upon successful completion, you'll receive a Certificat

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