Extreme Learning Machines (ELMs) represent a class of feedforward neural networks distinguished by their rapid learning speed and analytical determination of output weights. Unlike conventional neural ...

Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...

In this special guest feature, Ken Behan, Chief Growth Officer at SYSTRAN, discusses new technology that is aiming to totally eradicate the problem of language as one of the primary factors limiting ...

The field of statistical mechanics applied to neural networks and Boltzmann machines has grown into a multidisciplinary research area that bridges the gap between theoretical physics, mathematics and ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Naqi’s planned acquisition of Wisear accelerates Naqi’s efforts towards commercialization and to establish a global standard for non-invasive neural interfaces. This acquisition marks a defining ...

Apple patents brain-reading AirPods with EEG sensors to detect seizures and monitor neural health, raising concerns about brain data privacy.