“With this new toolkit and demo, D-Wave is enabling developers to build architectures that integrate our annealing quantum ...

As long as the team building the model has the right physics intuition, they can create data that covers a wide variety of use cases. And once trained, these models exhibit emergent behavior.

Traditionally, scientific discovery involved developing a hypothesis, testing it, tweaking it over many iterations until finding a solution or starting over, a process of weeding out what doesn’t work ...

Using artificial intelligence and single-cell transcriptomics, scientists mapped drug response patterns across 100 million ...

To ensure the continued operation and advancement of the innovative models and mechanisms cultivated in DAIIA, Elix -- which already operates its own AI drug discovery platform -- and LINC -- a ...

Human iPSCs models enhance drug discovery by providing more accurate, scalable, and demographically representative models, improving patient stratification and reducing late-stage drug failures.