New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate ...

What is needed for a neural network in machine learning are artificial neurons which are ... material can be switched between an amorphous structure and a crystalline structure with a highly ...

Using a neural network trained with simulations of supermassive black holes, astronomers have found that the one at the ...

By integrating and connecting the developed devices, the team also successfully implemented the "neuron-synapse-neuron" structure, the basic unit block of an artificial neural network, in hardware ...

If you’ve spent any time reading about artificial ... network designed to recognize dogs, which misidentifies a cat, for example. Another important advance has been the arrival of deep learning ...

Neural networks have revolutionized the fields of artificial intelligence ... from road signs to people. A neural network operates through a layered structure of interconnected nodes, much ...

This type of neural net is designed to closely approximate the physical structure of ... adversarial neural network, or GAN. GANs are another evolution of artificial intelligence, frequently ...

The basis of modern AI research is the artificial neural network (ANN), which mimics the structure of the human brain by creating large grids of artificial neurons connected by synapses.

The advancement of artificial intelligence (AI) has ushered in a new era of automated robotics that are adaptive to their ...