A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).
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Researchers have developed a new algorithm that could significantly reduce the energy consumption of AI, offering a potential solution to the industry's growing energy footprint.
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Because of its machine learning algorithms, it would eventually pick up the patterns. This works much better for discrete data rather than more vague data that might be open to interpretation.