Neural networks, and in particular deep learning architectures, offer robust tools to overcome these challenges by effectively learning complex mappings from measurement data to meaningful ...

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

A new paper from the Thomson lab finds that neural networks can be designed to build spatial maps using a type of algorithm called predictive coding. The paper appears in the journal <i>Nature Machine ...

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

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Poggio says that the CRH and PAH offer a potential unifying theory for key deep learning phenomena such as neural collapse and the neural feature ansatz (NFA).

When faced with complex problems, humans typically break the problem ... of mathematical tasks requiring multi-step reasoning to observe that neural networks gradually exhibited a learning curve ...

Lingua Marina discusses the possibility of language learning becoming obsolete due to the rise of AI neural networks that can ...