Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.

More information: Longsheng Feng et al, Integrated Framework to Model Microstructure Evolution and Decipher the Microstructure–Property Relationship in Polymeric Porous Materials, ACS Applied ...

One way to study this microstructure is by using dMRI, a non-invasive imaging method that uses water molecule diffusion to reveal structural connectivity. A specialized application of dMRI known ...

Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception ...

Healthy volunteers were scanned on a 7T Siemens scanner with the following protocol: T1-, T2- and PD-weighted structural MRI with resolution 0.3x0.3x0.6mm3; diffusion MRI with 0.6x0.6mm2 in-plane ...

In diffusion, a model learns how to gradually subtract noise from a starting image made entirely of noise, moving it closer step by step to the target prompt. This approach has enabled today’s ...

One way to study this microstructure is by using dMRI, a non-invasive method imaging method that uses water molecule diffusion to reveal structural connectivity. A specialized application of dMRI ...

"This allows us to simulate microstructures of a cell," says Bucher. The researchers were able to successfully analyze the diffusion of water molecules within the microstructure. In the next step ...