Abstract: Healthcare organizations make use of many new technologies to deliver improved care at a lower cost – one such technology is Artificial Neural Networks. ANNs can used for many purposes, and ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

A research team led by Professor Junsuk Rho at POSTECH (Pohang University of Science and Technology) has developed a secure ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in computing.

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...