The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...