Matrix has acquired Wallaroo.ai, a maker of software for deploying and orchestrating AI inference, in a deal the Santa Clara ...

Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through feedforward layers that account for over two-thirds ...

Without patch: d/dx [x^7 + x] = 0 With patch: d/dx [x^7 + x] = 7x^6 + 1 Without patch: Is 113 prime? No, 113 is not prime With patch: Is 113 prime? Yes, 113 is a prime number True 1-bit LLMs have no ...

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Microbes—the most abundant organisms on Earth—form complex communities with a profound influence on many problems, from human health to ecosystem management. Understanding species interactions is of ...

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...

To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype by environment ...

Abstract: Fuzzy clustering techniques, especially fuzzy C-means (FCM) and its weighted variants, are typical partitive clustering models that are widely used for revealing possible hidden structures ...