Researchers at New York University recently set out to explore the possibility of training artificial neural networks on these ... which result in different images from those typically used ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...

A study by the University of Bonn demonstrates a novel training method for spiking neural networks, which are ...

Artificial neural ... layer network to classify the tumors. The previously mentioned back-propagation learning algorithm works for feed-forward networks with continuous output. Training starts ...

Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers. In trying to understand how real nervous systems achieve their remarkable ...

Microsoft is updating its DirectX API to include neural rendering capabilities, representing a significant advancement in ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach combines ...