Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Quantum mechanics, which is the study of the behavior of sub-atomic particles, provides a way to enhance the use of machine learning to resolve inherently complex problems around optimization ...

This study marks a significant step toward addressing the challenges associated with uncertainty in neural network predictions, paving the way for more reliable and confident deployment of deep ...

This is the result of neural network reorganization, which we call learning. In their culture experiment, the researchers mimicked this process by using the grid of electrodes beneath the neural ...

The Cambridge University research team discovered that neural networks could spontaneously acquire this ability during the learning ... neural network. These channels function similarly to neural ...

Deep learning has the potential to solve big real-world problems, from curing diseases (subscription required) to image analysis to delivering effective cyber defense to ending traffic deaths.