Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...

Wildlife poaching remains a major conservation concern. Technological advancements have enabled webs of acoustic sensors to ...

Abstract: This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. The ...

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...