Neuromorphic computing, inspired by the human brain, offers a path to faster and more efficient AI. In a pioneering ...

EEG’s sensitivity to depression-related brain behavior. The team’s method, the Inner Composition Alignment algorithm, results ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Researchers at the Fraunhofer Institute for Factory Operation and Automation IFF have developed cognitive robot capabilities ...

In this regard, single layer feedforward neural networks (SLFNs) based on the threshold activation function represent a suitable option, as they can suitably balance generalization performances and ...

Abstract: This article focuses on the global Mittag-Leffler boundedness for fractional-order fuzzy quaternion-valued neural networks (QVNNs) with linear threshold neurons ... By employing Lyapunov ...

For AI-driven fortune-telling to improve, models require training on high-quality, structured, real-world cases, and such ...

How Apple Intelligence offers marketers a smarter AI solutionIssued by DigicapeJohannesburg, 26 May 2025Visit our press officeApple Intelligence is a suite of AI tools built into iPhone, iPad and Mac.

The science behind why your brain forgets important things - discover shocking memory failures and why crucial information ...

As a Dresden International University-trained preventive medicine and dermatology specialist practicing in Metro Manila, I’ve witnessed firsthand how ...