A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

Machine learning (ML) is driving a paradigm shift in the prevention and treatment of complex diseases, particularly in cardiometabolic and oncologic care.