Nature

Handwritten Character Recognition Using Neural Networks

The field of handwritten character recognition has experienced a paradigm shift with the incorporation of neural network methodologies. These approaches have revolutionised traditional optical ...
Smithsonian Magazine

Computers Are Getting Much Better at Image Recognition

Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...
EurekAlert!

Data-driven model enables early, high-accuracy intention recognition in UAV swarms (IMAGE)

Unmanned Aerial Vehicle (UAV) intention recognition has been extensively studied. However, when it comes to a UAV swarm problem, their intention recognition study was left blank. The flowchart ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
MIT Technology Review

A new way to build neural networks could make AI more understandable

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
EurekAlert!

Intention recognition of UAV swarm with data-driven methods

Unmanned Aerial Vehicle (UAV) intention recognition has been extensively studied. However, when it comes to a UAV swarm problem, their intention recognition study was left blank. The flowchart ...