An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

Helix Parallelism’ can process millions of words and support 32x more concurrent users. It’s a breakthrough, but is it useful ...

Finally, we input the feature maps evaluated by the attention mechanism into the fully connected neural network for prediction. Figure 1 illustrates the specific details of this network framework.

Convolutional neural networks can model the early feed-forward components of the MEG evoked response during visual word recognition.

Understanding the precise neural networks involved in word retrieval could lead to better diagnostics and targeted rehabilitation therapies for patients suffering from these conditions.

Nvidia explained that neural rendering will leverage small neural networks to greatly improve gaming graphics, though you will likely need to purchase a GeForce RTX 50 GPU to access this next-gen ...

I want to find concepts in the model. I want something that I can grab within the neural network, evidence that there is a thing that represents “apple” internally, that allows it to be consistently ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Dive into how generative AI models work, what they can and can’t do, and the implications of all these elements.