Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...

New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative ...

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

However, it seems that research on non-mainstream methods of unifying physics (and Alena Tensor is one) may require much more time and perseverance. The hope remains that future generations of ...