Interestingly, we found that for the two largest event clusters, their induced modularity exceeded what was expected under both null models (1000 permutation tests;p < 10−3for the independent permutation model; maximump-value ofp = 0.03 for the geometry-preserving model; Fig.4). For...
Specifically, neural networks are trained to generate Signed Distance Fields (SDFs) for stamping geometries, where the zero-level-set of each SDF implicitly represents the generated geometry. A new training approach is proposed for generating SDFs of stamping geometries, which involves supervising ...
Up to 144GB of HBM3e + 480GB of LPDDR5X unified memory suitable for cloud-scale, high-volume, low-latency, and high batch size inference, able to fit a 70B+ parameter model in one node. 400G InfiniBand or 400GbE Ethernet switch fabrics with highly scalable spine-leaf network topology ...
8. A multi-scale system for modeling cancer progression comprising: i) a processor instructed by a computer-readable medium, wherein said processor comprises: a) a first module modeling cellular behavior based on molecular-scale measurements of cancerous and cancer free samples; b) a second modul...
At first glance, these results suggest that there is no reliable orientation tuning to be modeled. However, since the full model has many more free parameters than the constrained model (57 vs. 8 parameters), we expect that, for voxels with low SNR, the full model would likely result in ...
22 Cloudera Data Platform Private Cloud Base with IBM Spectrum Scale IBM Elastic Storage System models IBM Elastic Storage System supports many high capacity and high IOPS model variations to fit your workload (see Figure 20). Select the model that best supports your overall capacity, performance,...
these closed field lines convect earthward and finally return to the dayside. A two-dimensional version of this model for an open magnetosphere was first published by Dungey (1962) in a free-hand sketch. However, the model in fact dates back to Dungey’s PhD thesis (Dungey1950). A fascinat...
This approach does not explicitly carry out fits of the model to the data; instead, it assumes that a “good” fit to the data has already been achieved, and it then provides an estimate of the uncertainty in each of the fitted parameters via a second-order expansion of the logarithmic ...
2.1. Numerical Multi-Scale Model Numerical multi-scale models are of special relevance for the analysis of structures with a complex micro-structural behaviour, such as composites. In these cases, it is very difficult to define a constitutive law that captures accurately the mechanical performance of...
The hard contact model avoids the necessity to resolve the collision micro-dynamics and the time-stepping scheme avoids the necessity to resolve impulsive events in time. The one-step integration can be split into the integration of the velocities and the subsequent integration of the positions and...