Purpose: Is used to train the machine learning model. Function: Think of it as the study material for the model. It provides examples and patterns for the model to learn from and build its internal ...
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science. However, ...
The AI and HPC industries are rapidly shifting toward chiplet-based designs to achieve unprecedented levels of performance, as traditional monolithic system-on-chip (SoC) architectures face scaling ...
Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results