Researchers at the University of Texas have discovered a new way for neural networks to simulate symbolic reasoning. This discovery sparks an exciting path toward uniting deep learning and symbolic ...

Implying chatbots have some kind of consciousness may just be a good marketing ploy by the companies involved.

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your brain that makes that movement happen. Our brains trigger these ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Memory resistors, or memristors for short, are a unique form of circuitry that resemble the neural pathways of the human brain and improve as additional current that passes through them, much like the ...

John Hopfield and Geoffrey Hinton developed artificial neural networks that laid the foundation for modern recommendation systems and generative AI. Reading time 3 minutes Two AI researchers, John ...

These errors limit the accuracy of the final system. To overcome this limit, the researchers designed a "photonic multisynapse neural network" that processes information using light in a more direct ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...

For decades, researchers have been trying to understand the biological roots of autism spectrum disorder (ASD), a common ...