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Machine intelligence is advanced computing that enables a technology (a machine, device, or algorithm) to interact with its environment intelligently, meaning it can take actions to maximize its chance of successfully achieving its goals.
The concept of machine intelligence highlights the intersection of machine learning and artificial intelligence, as well as the broad spectrum of opportunities and approaches in the field.
Artificial intelligence is a discipline of computing science that allows a system to complete tasks we typically associate with cognitive functions – such as reasoning, strategizing and problem-solving, without requiring an explicit solution for every variation. These algorithms, processes and methodologies allow a computer system to perform tasks that would normally require advanced intellect.
Machine learning is a set of computational techniques, within a larger system, that use data to create models that make predictions about future data. These models independently learn and can be made to continuously adapt to changing environments without being explicitly programmed for the data they encounter. Machine learning is a crucial component in many artificial intelligence systems.
Industry is particularly interested in adopting applied machine learning, and investing in advanced research in the field, because of the focus on using historical data to inform future opportunities for systems improvement, discoveries, and augmenting human-cognitive capacity. ML enables a variety of tasks, including:
Discover how partnering with Amii can help you achieve your business goals through AI/ML: visit our Industry Solutions page.
Mar 16th 2023
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Learn how Amii made history as the first Official AI Partner at the JUNO Awards and how AI is being used in sound, music and creativity
Mar 15th 2023
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JUNOS week brought an indelible buzz to Edmonton. Amii is proud to have been a part of it–as we continue to push what’s possible in AI and celebrate Canadian ideas and innovation.
Mar 13th 2023
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This AI Meetup discussed using federated learning in healthcare projects and beyond, feat. Amii Fellows Ross Mitchell & Randy Goebel.
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