Mindstone London September AI Meetup

⌖ London

Hosted by UKAI

Explore how organisations can demonstrate trustworthy AI in practice at UKAI’s free, invite-only report launch in Central London on 29 October 2026. From AI principles to practical trust Taking place from 6pm to 8.30pm GMT in Central London, this VIP drinks reception marks the release of Trustworthy AI: From Principles to Practice, A Framework for Innovation, Accountability and Adoption. The report has been produced by UKAI in partnership with Capgemini and shaped by a roundtable of senior leaders spanning financial services, legal, data and compliance. Rather than focusing only on AI regulation, it examines a wider and increasingly important question: what makes AI trustworthy, and how can organisations demonstrate that trust in practice? Attendees will receive an early look at the report’s findings and hear from contributors involved in its development. The evening will explore the intersection of responsible innovation, accountability and AI adoption, offering useful context for organisations seeking to turn high-level trust principles into credible working practices. What to expect - A first look at findings from the new UKAI and Capgemini report - Insights from contributors who helped shape the work - Drinks and informal networking in a Central London setting - Opportunities to meet UKAI members and professionals advancing the AI trust agenda - Discussion around AI governance, adoption, innovation and accountability This is a reception and report launch rather than a hands-on workshop. Its informal format is designed to support conversation and relationship-building among people dealing with the practical and strategic implications of trustworthy AI. The event is particularly relevant to senior leaders, AI governance and compliance professionals, legal and data specialists, financial services practitioners, innovators, and decision-makers responsible for adopting AI within organisations. It will also appeal to UKAI members and report contributors who want to connect with peers working at the frontier of responsible AI. View the event and registration details

Sponsors: Capgemini

⌖ London · London, United Kingdom

Hosted by Solana Hacker Houses

Build, test and refine Solana products in London from 1–12 November 2026, alongside founders, developers, operators and ecosystem experts. Held ahead of Breakpoint 2026, this extended Hacker House is designed for teams improving live products as well as builders starting from zero. What to expect Daily programming runs from 10:00 AM to 8:00 PM GMT, featuring: - Workshops and technical deep dives covering DeFi, security, infrastructure and applications - Hands-on guidance from ecosystem experts, Superteam UK and the Solana Foundation’s developer-relations team - Real-time collaboration with founders, developers and operators - Dedicated time and space to build, test and refine products towards product-market fit - Opportunities to form teams and connect with ecosystem leaders, partners and peers The venue will provide strong Wi-Fi, power, dedicated build zones, food, lounges and informal collaboration spaces. Registration desks will operate daily from 10:00 AM to 5:00 PM. Attendance requires host approval, capacity is limited and the exact London address is only shared with registered attendees. Approved guests should keep their RSVP current if plans change. Session submissions have closed; sponsorship enquiries can be sent to events@solana.org. Attendees still arranging accommodation can also book through Nomadz. Request approval to attend the Solana Hacker House.

⌖ London · The Royal Institute

Hosted by Cambridge Centre for Data-Driven Discovery

A one-day, in-person workshop in London exploring how frontier AI systems can be secured in real-world environments. Women in AI Security Workshop 2026 takes place at The Royal Institute on Tuesday 3 November 2026, from 9:00am to 5:00pm. Built around the theme “Securing Frontier AI Systems in the Wild”, the workshop will showcase prominent women working across AI security, AI safety and cyber security. It brings together perspectives from government, academia and industry, giving attendees an opportunity to learn about recent technical advances while examining the practical challenges involved in deploying and protecting frontier systems. What to expect The programme combines several formats to support technical learning, discussion and new connections: - Technical talks covering developments in AI and cyber security - Real-world case studies of how frontier AI systems are being secured - Panel sessions featuring experts from a variety of backgrounds - A guest lecture - Short community spotlight talks - A poster session presenting work from across the field - Opportunities to meet researchers and practitioners working at the intersection of AI and security The event forms part of an ongoing effort to build a more inclusive and diverse AI security community. Attendance is open to all genders, roles and levels of seniority, although the content will be particularly relevant to researchers and practitioners whose work connects AI with cyber security. The mix of talks, panels, posters and networking should suit both established experts and those developing their place in the field. Submit a spotlight talk Women working in AI security can apply to take part in the new spotlight talk session, with submissions welcomed at any career stage. Selected speakers will receive up to 15 minutes to present, with no audience questions afterwards. These sessions do not require a finished project. Early ideas, work in progress, interesting findings and open questions are all encouraged, creating a friendly setting in which women can share emerging work with an engaged audience. In support of the workshop’s goal of providing a platform for women in the field, spotlight speaking slots are reserved for women, while general attendance remains open to everyone.… Register for this event

⌖ London · London, United Kingdom

Hosted by Granola

Hear former BBC Executive Creative Director Julia Whitney discuss the creation of BBC iPlayer in London on 3 November 2026. Presented by Granola, this in-person conversation explores how design responded to a generational shift in media consumption, from radio and television to the web and mobile. Julia led design teams for more than 20 years, including 11 years at the BBC. She headed User Experience and Design for the original BBC iPlayer before leading design across BBC News, Sport and Weather. She later became GM and Executive Creative Director of the BBC’s 150-person User Experience and Design department. Today, she works as an executive and leadership coach across technology, media and climate. The discussion will cover: - The early development of BBC iPlayer - Designing digital products used by millions - Leading design through major changes in technology and audience behaviour - Lessons from Julia’s career at the BBC Doors open at 6pm GMT, with the talk beginning at 6:30pm. Attendees must arrive by 6:30pm, when the doors will close. Drinks and snacks are provided, and the event finishes at 8:30pm. Registration requires host approval, the exact London address is only visible after registering, and the event is expected to be heavily oversubscribed. Request approval to attend

Granola

⌖ 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