Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise ...
In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...
Southern California Edison’s service area contains over 1.4 million power poles, some of which are decades old. Monitoring these assets and their conditions has been challenging. Although utilities ...
Trirupa Chakraborty is affiliated with Light Up non-profit organisation, based in India. The organisation does not have any connection with or benefits from this article. Aniruddh Sarkar has received ...
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Sense smart home: The future of energy tracking
Explore how machine learning can revolutionize energy management in smart homes.
Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
Artificial intelligence (AI) is broadly defined as the capability of a machine to imitate intelligent human behavior and cognitive functions, such as learning, problem-solving, and performing complex ...
Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...
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