Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Helix Parallelism’ can process millions of words and support 32x more concurrent users. It’s a breakthrough, but is it useful ...

In recent years, numerous studies on emotion recognition have employed non-invasive electroencephalography (EEG) to measure neuronal activity. Various Machine Learning and Deep Learning techniques ...

So, while the Nvidia GeForce RTX 5060 has been out for a little over a month, I was finally able to get the Asus Prime model tested this week – and the results have been unsurprising. Just like the ...

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Discover how neuromorphic computing mimics the brain to deliver ultra-efficient, adaptive AI for edge devices, robotics, ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

In this study, we propose a novel approach to detect diabetic retinopathy using a convolutional neural network (CNN) model. The proposed model extracts features using two different deep learning (DL) ...

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has introduced the RA8P1 microcontroller ...

The shift from static inference to real-time autonomous agents is driving explosive demand for custom silicon, low-latency ...