SEMLA 2026 symposium at Polytechnique Montréal

Software Engineering for Machine Learning Applications Symposium

Engineering Trustworthy and Cost-Effective AI Multi-Agents

June 1st to June 3rd, 2026

Bringing Together the Brightest Artificial and Human Minds to Shape the Future of Agentic Software!

SEMLA 2026 is an international symposium held June 1–3 in Montréal, bringing together leading researchers and practitioners in software engineering and machine learning. Held at Polytechnique Montréal, we tackle the real challenges of building, deploying, and governing AI-driven software systems. This year, we focus on making AI multi-agent systems trustworthy, cost-effective, and ready for the real world.

Pavillon Principal at Polytechnique Montréal, venue for SEMLA 2026

SEMLA 2026 covers the full spectrum of challenges facing AI multi-agent systems in research and industry:

Multi-agent operations and lifecycle management

Human-AI interaction and agent-driven experiences

Foundation models and intelligent data platforms

Security, safety, and guardrails for deployed AI

Embedding expertise and knowledge into AI agents

Accuracy, robustness, and performance of AI systems

Ethics, legal frameworks, and AI governance

Energy consumption and efficiency of AI at scale

Trustworthy AI and the future of software engineering

SEMLA: An Engaging Symposium Since 2018

SEMLA started at Polytechnique Montréal in 2018 and has been held there every year since, bringing together researchers and practitioners from software engineering and machine learning. Over eight editions — 2018, 2019, 2020, 2021, 2022, 2023, 2024, and 2025 — the symposium has explored themes including verification, validation, and operations of AI systems; agentic AI and intelligent systems; algorithmic fairness and responsible AI; and the engineering of complex data-intensive software.

SEMLA 2026 continues this tradition, bringing the global software engineering and AI community to Montréal to tackle the next frontier: trustworthy and cost-effective AI multi-agent systems.

Software Engineering for Machine Learning Applications Symposium

Bringing Together the Brightest Artificial and Human Minds to Shape the Future of Agentic Software!

SEMLA 2026 covers the full spectrum of challenges facing AI multi-agent systems in research and industry:

Multi-agent operations and lifecycle management

Human-AI interaction and agent-driven experiences

Foundation models and intelligent data platforms

Security, safety, and guardrails for deployed AI

Embedding expertise and knowledge into AI agents

Accuracy, robustness, and performance of AI systems

Ethics, legal frameworks, and AI governance

Energy consumption and efficiency of AI at scale

Trustworthy AI and the future of software engineering

SEMLA: An Engaging Symposium Since 2018

Come join us at SEMLA 2026!

World-Class Speakers from Research and Industry

Cutting-Edge Keynotes

Engaging Panels

Posters

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