ALL IN 2026 | Canada's Largest AI and Tech Event – ALL IN

⌖ Montreal · Samuel Bronfman Building

Hosted by Bensadoun School of Retail Management, McGill University

A two-day retail AI hackathon for McGill students, taking place 15–16 October 2026 at the Samuel Bronfman Building in Montreal. The Retail Gen AI Hackathon 2026 gives McGill students the opportunity to tackle a real-life challenge for ALDO Group while exploring how artificial intelligence can improve decision-making across retail operations. Running from 9:00am on Thursday 15 October to 5:00pm on Friday 16 October, the event combines collaborative problem-solving with a fun, competitive hackathon environment. This is the fourth edition of the event, organised by the Bensadoun School of Retail Management in partnership with ALDO Group and powered by AWS and McGill’s DataSphere Lab. Rather than working through a purely theoretical exercise, participants will apply AI to a genuine retail problem and consider how their ideas could support better, data-driven operational decisions. What participants will explore The hackathon focuses on three complementary areas of artificial intelligence: - Generative AI, used to create new content, ideas or outputs - Predictive AI, which can help anticipate outcomes using available data - Prescriptive AI, which can support decisions by identifying potential courses of action - The practical application of these approaches within retail operations - Collaborative development of an innovative solution for ALDO Group The two-day format is designed for active participation rather than passive listening. Attendees should expect to work collaboratively under time constraints, develop ideas around the challenge and learn through the process of building a proposed AI solution. Its combination of an industry partner, a real-world use case and support from AWS and the DataSphere Lab makes the event particularly relevant to students interested in AI, data, retail innovation, management or technology-led problem-solving. Who can attend? Registration is exclusively for McGill students. The event page does not specify a required technical background or experience level, so prospective participants should consult the registration information for any further eligibility or preparation details.… Register for this event

Sponsors: ALDO Group · AWS +1

⌖ Montreal · Pavillon Sherbrooke, UQAM

Hosted by Voxel51

Build physical AI applications with FiftyOne at this hands-on robotics and computer vision workshop in Montreal on 10 November 2026. Co-presented by Nebius and Voxel51, this three-hour, in-person meetup combines practical technical learning with time to meet others working across physical AI. The evening runs from 5:30pm to 8:30pm EST in Room SH-3620 at Pavillon Sherbrooke, UQAM. What to expect The programme begins with networking, food and drinks before moving into a hands-on workshop focused on building physical AI applications with FiftyOne. Participants will explore key stages of a real-world computer vision workflow, including: - Curating robotics and sensor datasets - Working with data captured from physical environments - Evaluating vision models against real-world data - Using FiftyOne as part of the development and evaluation process Networking continues after the workshop, giving attendees another opportunity to discuss projects, compare approaches and connect with the local AI community. The session is hosted by Daniel Gural of Voxel51 and Dhruv Diddi of Nebius. This event is particularly relevant to people working with or exploring robotics, sensor data, computer vision and physical AI applications. The listing does not prescribe a specific experience level, but the practical format will be most useful to attendees who want direct exposure to dataset curation and vision-model evaluation rather than a talks-only meetup. What to bring A laptop is required to participate in the hands-on portion. Access to the workshop environment also requires a company, university or government email address. Personal or disposable accounts, including Gmail, Yahoo and Outlook, cannot be used under the platform’s fraud-prevention and compliance policy. Anyone who needs an exception should contact the hosts before the event. Venue and attendance The meetup takes place at Pavillon Sherbrooke, UQAM, Room SH-3620, 200 rue Sherbrooke Ouest, Montreal, QC H2X 3P2. The venue is in the Quartier des Spectacles and accessible via Place-des-Arts metro. Capacity is limited, so early booking is recommended. Register for the Montreal Physical AI Workshop and Meetup

Sponsors: Nebius

⌖ Montreal · Montreal, Quebec (ADM Montreal show)

Hosted by LIDD

Join LIDD at ADM Montreal 2026, Montréal's premier end-to-end design and manufacturing show, to explore how logistics automation and advanced supply chain strategies can transform your operations. This two-day industry event brings together professionals working at the intersection of advanced manufacturing, automation technology, robotics, and supply chain optimization. Visit LIDD's booth 1724 to connect with Managing Director Raphaël Leite-Corthésy and discuss tailored solutions for growing your business and optimizing your distribution operations. ADM Montreal serves as an all-in-one, industry-wide platform showcasing the latest trends and technologies shaping the future of advanced design and manufacturing. The show spans multiple sectors including automation, robotics, energy efficiency, packaging, plastics, and processing—providing a comprehensive view of how modern supply chains integrate with manufacturing technology. For professionals in food & beverage, hardware, pharmaceutical, and other industries, this event offers valuable insights into facility design, layout optimization, and operational efficiency improvements. What to Expect The LIDD team specializes in end-to-end supply chain transformation, combining design expertise, strategic planning, and technology implementation. At ADM Montreal, you'll have the opportunity to: - Book one-on-one consultations with supply chain experts to discuss your specific business goals and operational challenges - Explore data-driven approaches to facility design and distribution network optimization - Discover strategies for navigating evolving market demands and enhancing supply chain performance - Learn about logistics automation and assess your organization's readiness for transformation Meet the Expert Raphaël Leite-Corthésy leads LIDD's Design & Strategy practice from the Montreal office, where he guides teams in conceiving and implementing profit-efficient facilities. Since joining LIDD in 2016, he has led major projects across Food & Beverage, Hardware, and Pharmaceutical industries. With a B.Eng. in Industrial Engineering and an M.Sc.A. in Operations Research from Polytechnique de Montréal, Raphaël brings deep technical expertise combined with excellent communication skills to help organizations optimize their operations and support future growth. Who Should Attend This event is ideal for supply chain professionals, ope

⌖ Montreal · Palais des congrès de Montréal

Hosted by AAAI

AAAI-27 brings the global artificial intelligence research community to Montréal for eight days of papers, workshops, tutorials, posters and scientific exchange. Taking place 16–23 February 2027 at the Palais des congrès de Montréal in Montreal, the 41st Annual AAAI Conference on Artificial Intelligence is a major forum for discovering new AI research, discussing emerging challenges and building connections across the field. It is organised by the Association for the Advancement of Artificial Intelligence. What to expect AAAI-27 combines a large academic conference with practical, interactive and community-led formats. The programme is set to include: - Technical paper presentations spanning AI and affiliated disciplines - Invited speakers and senior member presentations - Dedicated tracks covering AI alignment and AI for social impact - Workshops, tutorials and lab sessions for deeper exploration of specialist subjects - Poster sessions, demonstrations and competitions - Exhibit programmes showcasing work from across the AI ecosystem - Opportunities for informal discussion, networking and scientific exchange The breadth of formats gives attendees several ways to participate: hear the latest research presented by its authors, examine projects and results in poster or demonstration settings, build skills through tutorials and labs, and debate focused questions in smaller workshops. Who is it for? The conference is designed for AI researchers, practitioners, scientists, students and engineers, from people beginning an academic career to established members of the field. Alongside the main technical programme, AAAI-27 includes routes for different career stages through its Doctoral Consortium, Undergraduate Consortium, Student Abstract and Poster Program, New Faculty Highlights and Senior Member Presentation Track.… Register for this event

⌖ Edinburgh · Edinburgh Futures Institute

Hosted by Twin Path Ventures

Explore how Edinburgh’s founders, investors and researchers are building globally competitive AI businesses at this morning panel, demo and networking event. Hosted by Twin Path Ventures with Old College Capital, the AI Breakfast Club takes place at Edinburgh Futures Institute on Friday 9 October 2026, from 8:30am to 11:00am. It offers a focused look at the people, ideas and strategic advantages shaping the AI ecosystem in Edinburgh, with breakfast and coffee included. What to expect The morning begins with registration, breakfast and networking, giving attendees time to meet AI founders, investors, researchers and other members of Scotland’s technology ecosystem. A panel discussion will then examine what it takes to turn cutting-edge research and technical expertise into world-class AI companies, how Edinburgh’s local ecosystem supports innovators, and what businesses need to compete internationally. The panel brings together perspectives from investment, natural language processing, robotics and startup building: - Katharine Fox, Head of Investment at Old College Capital - Professor Alexandra Birch, Personal Chair of Multilingual Natural Language Processing and Co-Founder and Chief Scientist at Aveni - Professor Ram Ramamoorthy, Personal Chair of Robot Learning and Autonomy - Angus Duncan-Timpson of Aegiss, an AI startup building purpose-built tax technology - Chair: John Spindler, General Partner at Twin Path Ventures After the panel, the programme continues with demos, audience Q&A and further networking until 11:00am. The format is designed to encourage direct discussion rather than passive listening, so attendees should bring questions and be ready to exchange ideas with others working across AI research, investment and company creation. Attendance details The organiser currently lists this event as full. Use the registration page to join the waitlist; a place is not guaranteed. Check availability and registration

Sponsors: Barclays · Old College Capital

⌖ New York · New York, NY

Hosted by tokens&

Build a production-ready real-time video AI agent in New York on 9 October 2026, with expert support, GPU compute and a ready-to-use builder stack. The VAST Builders Challenge is a one-day technical hack event for turning video archives into useful, searchable AI applications. Rather than starting from scratch, teams receive videos, infrastructure and development tools so they can focus on creating a shippable prototype. This New York edition forms part of a three-city series spanning New York, London and San Francisco. What you’ll build Choose your own video-agent concept and experiment with a stack covering: - Video understanding: reason over clips using NVIDIA Cosmos - Semantic search: find moments across hours of footage with natural-language queries - Object detection: run real-time detection and tracking across frames with YOLO - LLM-powered logic: use models from Weights & Biases to drive agent behaviour and application workflows The VAST AI OS handles video ingestion and the data layer, while models run on CoreWeave GPUs. Builders will ship using Cursor, with expert guidance and compute available throughout the day. Format and schedule Doors open at 8:30am EDT with breakfast, followed by opening keynotes at 9:00am. Building begins at 9:30am and continues through lunch before teams present demos at 4:30pm. The event concludes with awards at 6:30pm. Projects will be assessed by AI and infrastructure specialists from NVIDIA, VAST Data, CoreWeave and Weights & Biases, including Diego Garzon, Ravi Garg, Ram B., Brian Verkley, Prashanth Nalubandhu, Brandon Kates and Vera A. View the event and registration details

Cursorn8n

Sponsors: VAST Data · CoreWeave +3