When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Abstract: Neuromorphic computing attempts to mimic the neural architecture of human brain by delivering a non vonNeumann hardware which can run even the most complex artificial intelligence algorithms ...

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...

Molecular circuits capable of autonomous learning could unlock novel applications in fields such as bioengineering and synthetic biology. To this end, existing chemical implementations of neural ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...