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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 Your Business page.
Apr 8th 2024
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Amii Fellows share tips on how to make the most of your conference experience.
Mar 26th 2024
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In this month's episode, Alona talks about how ChatGPT changed the public’s perception of what AI language models can do, instantly making most previous benchmarks seem out of date, and the excitement and intensity of working in a fast-moving field like AI.
Mar 18th 2024
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Google.org announces new research grants to support critical AI research in Canada focused on areas such as sustainability and the responsible development of AI. The grant will provide a total of $2.7 million in grant funding to Amii, the Canadian Institute for Advanced Research (CIFAR) and the International Center of Expertise of Montreal on AI (CEIMIA).
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