When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

To address this limitation, reinforcement learning (RL) has emerged as a promising solution. Although RL has been applied in recommendation systems, the integration of graph neural networks (GNNs) ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

Ensuring robust and efficient service restoration in Wavelength Division Multiplexing (WDM) networks is crucial for maintaining network reliability amidst failures caused by disasters, equipment ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Many existing methods for exploring the link between neural ... network architecture and training approach." The researchers trained their RNN-based model using a four-step optimization algorithm.

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

The course builds on my 2018 class, Art and Geometry, which I co-taught with local artists. The course explored Picasso’s cubism, which depicted reality as fractured from multiple perspectives; it ...

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic ...

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 ...

AI imaging and alignment tools not as novelty, but as smart assistants integrated into daily orthopedic practice. New study ...