Biological cells process data and perform computations all the time. They take inputs in the form of external stimuli and produce specific responses. Recently, scientists have been looking at ways to ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

What if the very nature of human thought—our creativity, intuition, and ability to connect ideas—was both our greatest strength and our most glaring limitation? In an era where artificial intelligence ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

When René Descartes watched a mechanical figure move with lifelike precision in the 17th century, the scene unsettled him. The machine behaved like a person, yet no one believed it could feel.