In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making. This study examines the ...

Human neurophysiology encompasses the intricate study of brain activity, cognition, and behavior. Recent advancements in neuroimaging and recording techniques, such as EEG, fNIRS, fMRI, and MEG, ...

Human-Centered Pattern Recognition is an interdisciplinary approach to designing and implementing pattern recognition systems that prioritize human needs, interpretability, and collaboration. Unlike ...

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

The Detroit Police Department arrested three people after bad facial recognition matches, a national record. But it’s adopting new policies that even the A.C.L.U. endorses. By Kashmir Hill Kashmir ...