February 22-24, 2023
Montreal, Canada

Montreal Artificial Intelligence Conference

Artificial Intelligence Genetic Algorithms are based on the ideas of natural selection and genetics. They are commonly used to generate high-quality optimization and search solutions. This branch of Artificial Intelligence provides a search with historical data to direct the inquiry into the region of better performance in solution space. Learn how to develop and use this type of AI for real-world problems and solutions using C# and .NET on your favorite cloud platform.
Artificial Intelligence Le Traitement Automatique du Langage (TAL) alimente de nombreuses technologies modernes telles que les chatbots ou la détection de spam. À la base du TAL se trouve le besoin de comprendre du texte—les octets bruts ne permettent pas d'extraire un réel sens. Cela justifie alors l'utilisation de représentations sophistiquées que nous introduisons ici: comptage (ex. TFIDF), vecteurs statiques (ex. word2vec) et réseaux de neurones (ex. Transformers).
Artificial Intelligence ISAAC Instrument designed solutions are revolutionizing the transportation industry with their innovative products, cutting-edge technologies, and customer focused solutions. In this session, we will talk about our data collection process, data types, IOT data details that are installed in trucks, ISAAC's big data platform properties, data processing steps, data platform principles and AI models that we are currently working on.
Artificial Intelligence Saviez-vous qu’au Canada, 58 % de la nourriture produite est gaspillée ou perdue? Pourtant, des technologies comme l’intelligence artificielle pourraient permettre de nettement réduire ces pertes. Découvrez comment Patates Dolbec a utilisé un modèle de classification PyTorch pour déterminer la qualité de leurs pommes de terre, évitant ainsi le gaspillage de plus de 500 000 livres de patates par année!
Artificial Intelligence Applying AI to real world problems in a supervised fashion requires large set of data covering all aspects of the problem we are solving. In reality, it’s impossible to build such dataset thus giving our model limited understanding of the problem leading to absurd predictions. The solution is Contrastive Learning which learns similarities and differences by contrasting samples against each other therefore limiting the need for human supervision.
Artificial Intelligence Artificial Intelligence is advancing quickly and brings with it some promising applications, but also some scary prospects. Let's talk about some of the security implications, get a better understanding of Adversarial AI, and also look at some of the truly cool things you can do in ChatGPT to improve security.
Artificial Intelligence Is it your technical skills, your expertise, your social soft skills or your teamwork that make you a great software engineer? The next decade might completely change the perspective considering all significant progress that has been made in the machine learning field. So will the future of software engineers depend on our ability to describe a problem for a machine? Does it mean that we need to think differently about our team and expertise?
Artificial Intelligence We all know that developing and training an artificial intelligence model is quite the challenge in itself, but when it comes to actually deploying it within a company, it seems to open the door to a whole new set of problems.


In this conference, Alexis Fortin-Côté wishes to demystify the different scenarios and obstacles that can be encountered when putting an AI model to use in specific contexts.
Artificial Intelligence What if I told you that in just the last 2 years, AIs have learned to: write in Shakespeare's style; write code and refactor it; and generate any images you can imagine in just few seconds!

In this talk, I'll look at the milestones that allowed openAI to achieve such incredible results and what this new generation of AI is capable of
Artificial Intelligence Do you want the good or the bad news first? End of last year OpenAI took everyone by surprise by releasing chatGPT. Microsoft, Meta and Google are now doubling down on AI chat-driven systems. Are you ready?

In this keynote, we'll explore the current and potential uses of multimodal conversational AIs. Let’s take a deep dive into this fascinating technology and consider what it means for our future as Developers.

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