Russia produced most AI content to sway presidential vote; China urges vigilance against Taiwanese cyberattacks.
"Black Myth: Wukong" exemplifies innovation in gaming through spatial computing, transforming the gaming industry.
See how drones are reshaping Hangzhou's urban landscape—from speeding up deliveries to revolutionising emergency services.
1. Privacy concerns One of the foremost risks associated with data mining is privacy. Organisations often collect and analyse large volumes of data, which can include sensitive personal information such as financial details, medical records, and contact information. If this data is not handled properly, it can lead to significant privacy breaches. Such breaches can […]
Supervised learning is used for classification and regression tasks, enabling models to make predictions based on labeled training data.
Pattern recognition uses machine learning to classify data into predefined categories by identifying patterns and features.
Anomaly detection is an algorithm and technique used to identify anomalies or unusual patterns in a data set.
Logistic regression is used for binary classification tasks, predicting the probability of an outcome belonging to a particular class.
Cognitive cloud computing is transforming the way organisations harness technology to process information and gain insights.
Cognitive systems are designed to learn from experiences and adapt over time, allowing them to refine their algorithms.
Neural networks are adept at identifying complex patterns in large datasets, offering non-linear learning capabilities.
Link3's project has reached more than 50,000 people, providing internet resources and skills to people in rural and remote areas.
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