Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Lots of microcontrollers will accept Python these days, with CircuitPython and MicroPython becoming ever more popular in recent years. However, there’s now a new player in town. Enter PyXL, a project ...

Prime factorization is the process of breaking down a number into its prime factors. Prime factors are prime numbers that, when multiplied together, produce the original number. For 24, the prime ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Given Shout’s business plan, it seems likely they will mount a new special edition Blu-ray of ...

State preparation is an important class of quantum circuits: given the complex amplitude state vector/wave function, synthesize a quantum circuit to prepare that state. An alternative approach is to ...