

- Description
-
Our mission is to empower Canadians by providing cutting-edge STEM skills and facilitating connections to impactful STEM job opportunities and projects. Specializing in Emerging Technologies such as Data Science, Machine Learning (ML), Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR), our organization is at the forefront of fostering skills demanded in key sectors including CleanTech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.
In addition to upskilling initiatives, we actively engage in Research and Development (R&D) activities. Our organization is committed to pushing the boundaries of knowledge in Emerging Technologies. Through strategic R&D projects, we explore novel applications, contribute to technological advancements, and stay ahead of industry trends.
- Number of employees
- 11 - 50 employees
- Company website
- https://m2mtechconnect.com
- Categories
- Data visualization Data analysis Data modelling Machine learning Artificial intelligence
- Industries
- Education Energy It & computing Manufacturing Technology
Socials
Recent projects
Artificial Intelligence & Machine Learning Application
We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage. We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization. This involves: Conduct background research on existing products, services, domains & dataset. Conduct research into the latest AI and ML techniques and how they could be applied to our data. Developing a ML / AI model which provides some sort of unique outcomes or insights into our data Devise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data. Develop automation tools to enable machine learning Design, train and improve Machine Learning models
Artificial Intelligence & Machine Learning Application - Phase 3
We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage. We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization. This involves: Conduct background research on existing products, services, domains & dataset. Conduct research into the latest AI and ML techniques and how they could be applied to our data. Developing a ML / AI model which provides some sort of unique outcomes or insights into our data Devise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data. Develop automation tools to enable machine learning Design, train and improve Machine Learning models
Artificial Intelligence & Machine Learning Application - Part 2
We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage. We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization. This involves: Conduct background research on existing products, services, domains & dataset. Conduct research into the latest AI and ML techniques and how they could be applied to our data. Developing a ML / AI model which provides some sort of unique outcomes or insights into our data Devise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data. Develop automation tools to enable machine learning Design, train and improve Machine Learning models
Optimizing Energy Distribution
The main goal of this project is to research and implement smart grid technologies that optimize the distribution of clean energy. Through the application of machine learning algorithms, the project aims to predict peak energy demand, manage load balancing, and reduce energy wastage in the distribution network. Ultimately, the objective is to enhance the efficiency and reliability of clean energy distribution systems.
Latest feedback
Project feedback


Project feedback


Project feedback

