Montreal Physical AI Workshop and Meetup

⌖ 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 · UQAM Pavillon Sherbrooke

Hosted by Montréal AI, Machine Learning and Computer Vision Meetup

Build practical physical AI workflows at this hands-on FiftyOne workshop and meetup in Montreal on 10 November 2026 at UQAM. Co-presented by Nebius and Voxel51, the Montreal Physical AI Workshop and Meetup combines short presentations from the local technology community with a practical session focused on robotics, sensor data and computer vision. It offers an opportunity to learn how teams can organise real-world datasets and assess vision models while meeting others working across AI, machine learning, data science and robotics. What to expect The three-hour evening begins in a meetup format, with lightning talks from local speakers working across AI, machine learning and computer vision. These concise sessions will provide different perspectives from Montreal’s technical community before the event moves into its main hands-on component. During the workshop, participants will use FiftyOne to explore the process of building physical AI applications. The session will cover practical areas including: - Curating robotics and sensor datasets - Working with data captured from physical environments - Evaluating computer vision models against real-world data - Applying FiftyOne within a physical AI development workflow This event is particularly relevant to AI and machine learning practitioners, computer vision specialists, robotics professionals, data scientists, researchers and technical teams interested in improving how they manage and evaluate visual datasets. No specific experience level or prerequisites are stated, but the workshop is hands-on and attendees must bring a laptop. Venue and schedule The event runs from 5:30pm to 8:30pm EST on Tuesday, 10 November 2026. It takes place in Room SH-3620 at UQAM Pavillon Sherbrooke, 200 Rue Sherbrooke Ouest, in Montreal’s Quartier des Spectacles. The venue is accessible via Place-des-Arts metro. The evening is hosted by the Montréal AI, Machine Learning and Computer Vision Meetup and co-presented by Nebius and Voxel51. Space is limited, and advance registration is mandatory. You can also review the full agenda and pre-register.… Register for this event

Sponsors: Nebius · Voxel51

⌖ 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

⌖ Barcelona

GlobalAI–2026 (Oct 05–07, 2026 | Barcelona): a three-day conference exploring AI, machine learning, automation, and AI agents with keynotes, research talks, hands-on demos, and industry panels. Learn the latest research insights, practical strategies to deploy automation and AI agents, and how organisations are applying ML in healthcare, finance, transport and education. Ideal for researchers, engineers, product builders, startup founders and enterprise leaders seeking cutting-edge techniques and partnerships. Format: multi-track keynotes, paper presentations, panel discussions, poster sessions, and networking opportunities over three days.

⌖ Location TBC · Private winery estate, Loudoun County, Virginia (Leesburg area)

Hosted by Modev

The Global Agentic AI Summit brings together 1,500+ builders, enterprise leaders, and AI visionaries for three immersive days exploring the autonomous intelligence revolution. Set on a private winery estate in Loudoun County, Virginia — home to Data Center Alley, the world's largest concentration of cloud infrastructure — this isn't your typical tech conference. Three Critical Tracks The summit addresses three defining vectors of the autonomous AI economy through dedicated programming tracks: Agentic AI explores autonomous systems that plan, decide, and act independently. Sessions cover enterprise-scale agent deployment, single-agent workflows, multi-agent orchestration, reasoning and planning architectures, memory and context systems, and AI assistants that autonomously execute complex workflows. Physical AI examines embodied intelligence moving from datacenters into the real world. Expect deep dives into robotics, edge AI deployment, autonomous drones, AI-powered prosthetics, manufacturing automation, and the next generation of human-machine collaboration in logistics and defense applications. Sovereign AI addresses national AI infrastructure, data sovereignty, and the geopolitics of autonomous systems. Topics include how governments and enterprises build AI capability they control, critical infrastructure protection, defense AI applications, and national AI policy frameworks. World-Class Speaker Lineup 75+ speakers represent the builders actually deploying agentic systems at scale. The lineup spans enterprise AI leaders from Cox Communications, McKesson, and Navy Federal Credit Union; government innovators from the U.S. Department of the Navy and Library of Congress; media AI pioneers from USA TODAY; and founders driving the agentic revolution forward. Every speaker brings real-world deployment experience — no theoretical talks, just practical insights from the trenches. Comprehensive Topic Coverage The program addresses 54 distinct categories across core AI infrastructure, security and trust, developer tools, workforce transformation, and emerging applications. Technical sessions cover coding agents, vector databases, foundation models, orchestration frameworks like OpenClaw, observability and monitoring, model deployment, and guardrails for safe AI operation. Developer-focused content explores SDKs and APIs for building agentic systems, testing and evaluation frameworks, multimodal AI implementations,