A neural network is better viewed as a collection of multiple optimisation processes, each with its own internal memory.

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

Qing Wei and colleagues from the College of Engineering, China Agricultural University, systematically elaborated on the ...

With its new AI camera TIV, TURCK promises a paradigm shift in industrial image processing: instead of complex programming, ...

A PCB business card is a great way for electrical engineers to impress employers with their design skills, but the software they run can be just as impressive as the card itself. As a programmer ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Transforming Business Security With Predictive AI Fraud Detection - In today’s hyper-connected marketplace, digital transactions move at the speed of a click, but so do fraudsters. Conventional ...

Vestibular Migraine (VM) is a common clinical neurological disorder characterized by recurrent episodes of dizziness and headaches. It has a significant genetic predisposition and a high morbidity and ...

The exponential increase in medical imaging data has intensified the need for accurate and efficient diagnostic analysis. Conventional methods often fail to ...

But five years later, she's playing regularly and looks younger and sharper than many of her peers who settled into passive ...

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...

Taking an audience of hundreds on a tour around the body, seven speakers at The Picower Institute for Learning and Memory's ...