Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

This issue is an evolving document describing the design and implementation of using sparse matrix instructions for optimizing skinny GEMM on AMDGPU in IREE. Using FP8 as an example: currently skinny ...

Structure Therapeutics is developing a daily GLP-1 receptor pill called aleniglipron. Structure Therapeutics' stock soared toward an 18-month high in early Monday trading, after mid-stage data for its ...

SAN JOSE, Calif., Sept. 2, 2025 /PRNewswire/ -- Tredence, a global leader in data science and AI solutions, has been recognized as a Leader and a Star Performer in Everest Group's Data and AI Services ...

A ground-breaking approach using "small data" machine learning could revolutionize mental healthcare by predicting individual crises before they escalate. Published in Med Research, the study ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

Arkansas is on track to see construction of three proposed data center projects in the next year valued at a combined $12 billion. Plans for the huge centers, which are not yet set in stone, come as ...

Lance datasets storing sparse matrix data in coordinate (COO) format achieve minimal compression compared to other columnar formats like Parquet. This results in storage sizes that are nearly ...