Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

Artificial intelligence is no longer a future idea. It is already part of daily life. Students use it when they search online ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Six artificial intelligence-based research projects aimed to help predict cancer will start development in January with a team of student researchers. The projects, through the James Cancer Hospital ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...