Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is one of the key operators in many fields, showing dynamic features in terms of sparsity, element distribution, and data dependency. Previous ...

Python implementation of several sequence alignment algorithms such as Waterman-Smith-Beyer, Gotoh, and Needleman-Wunsch intended to calculate distance, show alignment, and display the underlying ...

This repo includes the MATLAB codes for a Dynamic Matrix Control (DMC) and an Extended Predictive Functional Controller (EPFC) controller.

When The Matrix premiered in 1999, the film not only changed movies forever, it changed the way people saw the world around them. Now, more than 25 years later, Cosm has partnered with Warner Bros.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...