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 ...

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 ...

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 ...

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 ...

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

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

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 ...

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 ...

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

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