Improving tropical tree biodiversity mapping from drone imagery to support the scientific study and conservation of tropical forests

Rubisco AI is a startup that aims at monitoring forests worldwide to study their biodiversity using high resolution drop imagery. One of their core applications is to monitor tropical rainforest where tree identification and mapping is currently a very hard task: a single local biologist expert can only identify ~20 individual trees per day due […]

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Digital Twin Technology in Urban Planning: Housing, Biodiversity, and Infrastructure – The case of Dieppe & Moncton (NB)

Rapid urban growth challenges cities with rising populations, infrastructure demands, and environmental sustainability. Traditional urban planning, based on outdated models and fragmented data, struggles to address these complexities. Digital Twin (DT) technology offers a solution by creating dynamic virtual models of real-world environments using real-time data. By integrating sources like geographic information systems (GIS), sensors, […]

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Training Generative Tabular Foundation Models

Layer 6 is a machine learning research and engineering company owned by The Toronto-Dominion Bank. Most of TD’s transactional data is stored in relational database management systems in the form of tabular datasets, structured as rows and columns. While Large Language Models (LLMs) have revolutionized the handling of unstructured data (such as text, audio, and […]

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«Shallow Water Extensions to Complex Fluid Dynamics»

The realism and interactivity of large water bodies—such as oceans and rivers—are essential for creating immersive and dynamic open-world environments. With the rapid advancement in GPU computing power, physical simulation techniques are now a feasible solution for significantly enhancing the realism of water systems in real-time applications. Shallow water simulations, for example, provide efficient 2.5D […]

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Camions de déneigement, sécurité et leur résilience

Le stagiaire travaillera sur l’amélioration de la sécurité et de la connectivité des véhicules industriels en intégrant des technologies IoT (Internet des objets). Concrètement, il s’agira de concevoir et tester des systèmes intelligents permettant de suivre en temps réel l’état des véhicules, de détecter d’éventuels problèmes techniques et de sécuriser les données échangées. Une attention […]

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Patient to provider AI message drafting in hospital-based outpatient care, a mixed-methods study exploring integration in care and impact

Patients can use secure messages to communicate with their healthcare providers through patient-facing patient portals. While patients like the use of secured messaging, it also increases the workload burden for providers, and as such, providers often do not offer it to patients. With recent years of technological innovation, electronic hospital records software has developed AI-generated […]

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Fraud-Centric Merchant Embeddings

Mastercard works with improving and securing payments of millions of cardholders and merchants. One of the primary objectives of Mastercard’s work is to detect and prevent fraudulent payments. There are several ways of committing such fraud, often such fraud can happen due to vulnerability of the merchant to such fraudulent threats and several other underlying […]

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Meta learning of hyperparameters for parallel and distributed Gradient Boosted Decision Trees on big data

When Kinaxis trains its machine learning models, it does so on two time scales. Every week or so, it looks at around 10 billion sales records and tries to learn the rapidly-changing “parameters” that best describe this data. Every 3-6 months, it updates 10 thousand collections of “hyperparameters” that govern the parameter-learning process. Kinaxis would […]

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Integrating Artificial Intelligence and Solar Energy in HVAC Systems for Sustainable Building Climate Control.

This research project aims to revolutionize heating and cooling systems in buildings by combining Artificial Intelligence (AI) and solar energy. By developing smart algorithms, the HVAC system will adapt to changes in the environment and occupancy patterns, ensuring optimal energy use and reducing environmental impact. The intern will design simulations to evaluate performance, compare results […]

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Enhancing Heat Treatment Processes through Machine Learning

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

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Biotech R&D statistical analysis using Generative AI for business expansion

Scispot is an innovative company dedicated to revolutionizing the biotech industry through the integration of advanced scientific tools and technologies. Scispot is backed by Y Combinator, Velocity, OBIO, OCI, and CDL. Our mission is to enable every biotech lab to streamline their operations, enhance productivity, and accelerate scientific discoveries.

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Robustness of Reinforcement Learning to Attacks and Adversarial environments

Reinforcement learning algorithms are successfully employed in diverse industries, for instance in autonomous driving, trading or gaming. However, their generalization especially in critical-decision making systems has raised concerns about their robustness to attacks. The 22nd recommendation issued by the White House (2016) to prepare for the future of AI states: ”Agencies (…) should ensure that […]

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