MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

BERT is a 2018 language model from Google AI based on the company’s Transformer neural network architecture. BERT was designed to pre-train deep bidirectional representations from unlabeled text ...

RETRO uses an external memory to look up passages of text on the fly, avoiding some of the costs of training a vast neural network In the two years since OpenAI released its language model GPT-3 ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

More information: Melting temperature prediction using a graph neural network model: From ancient minerals to new materials, Proceedings of the National Academy of Sciences (2022). DOI ...

But when the student is a computer, one approach works surprisingly well: Simply feed mountains of text from the internet to a giant mathematical model called a neural network. That’s the operating ...

Based on how various sentences are related to one another in the memory space of the neural network, Google’s language and AI boffins think that it has. A visualization of the translation system ...