Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...

Abstract: Spectral variations pose a common challenge in analyzing hyperspectral images (HSI). To address this, low-rank tensor representation has emerged as a robust strategy, leveraging inherent ...

Abstract: Dynamic mode decomposition (DMD) has emerged as a powerful data-driven technique for extracting dominant spatiotemporal patterns from complex signals. However, conventional DMD methods are ...

But julia must be installed on the machine. Julia is not a necessary dependency (the calculator will work anyway) but it may be very slow for computing energies of big systems. If you are not using ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.