Vanilla Mechanistic Interpretability

⌖ Montreal · McKinsey Montreal Office

Hosted by McKinsey & Company Canada

Put your AI and problem-solving skills into practice at McKinsey Montréal’s free, one-day hackathon for eligible Québec undergraduate students. Held in person on Saturday, 7 November 2026, the hackathon challenges teams of students from across Québec to address a real-world societal problem and turn their ideas into AI-enabled applications and tools. Participants will learn and apply McKinsey’s approach to structured problem-solving and technology deployment while developing a practical solution with potential for positive impact. During the day, participants will: - Build solutions using AI and other technologies - Collaborate with talented undergraduate students from across Québec - Explore how technology can address a complex, real-world challenge - Gain exposure to McKinsey’s problem-solving methods The event is aimed at curious, collaborative students interested in AI, technology and software engineering. No previous business or consulting experience is required. Applicants must be undergraduate students graduating in 2027 or later. The hackathon takes place at the McKinsey Montreal Office, 1250 Boulevard René-Lévesque Ouest, Suite 4400, in Montreal. Attendance is free. The published application deadline was 18 October 2026 at 11:59pm local time, and registration is now closed. Concordia University and Career Services did not coordinate this event; questions should be directed to McKinsey & Company Canada. View the event page for registration status and full details.

⌖ 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

⌖ 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