Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

Human brains learn new tasks quickly by reusing mental building blocks, a flexibility scientists are now studying to improve ...

If you are also thinking of building a career in AI by taking an online course from home, then IIT Kharagpur is giving you a ...

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability ...

If you care about the future of AI — whether as a developer, investor, founder, or policy‑maker — it’s time to pay attention.