MiniMax M3 launched June 1, 2026 with a 1-million-token context window and company-reported SWE-Bench Pro scores that edge ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

The main aim of the project is to develop a web-based application that is going to make it possible for the customer to place an order of food by using this app . In this we are also creating food ...

Abstract: We address in this paper a case study of sparse matrix multiplication product (SMP) optimization i.e. where both matrices are sparse. We first study initial versions of loop nest structured ...

Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. However, owing to the physical limitation of the crossbar ...

This project is the result of training, which lasted 3 weeks. The task was to implement, known to many, the analogue of the game 2048 to vanilla Javascript with the use of the maximum number of design ...