Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

The study highlights a crucial distinction between symbolic and sub-symbolic decision-making. Symbolic decisions require ...

Artificial intelligence is changing the way farmers manage crops, yields and resources, but its real value lies in supporting ...

AI in agriculture is rapidly shifting from being a distant concept to a practical, transformative tool. But amid all the hype ...

A recent study conducted by the University of Amsterdam (Amsterdam, Netherlands) and the University of Queensland (Queensland, Australia) developed a novel prioritization strategy that directly links ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...