Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...

Explains how Section 65 assessments operate, the conditions for valid invocation, and why strict compliance with procedure and natural justice is ...

Abstract: General sparse matrix–matrix multiplication (SpGEMM) is integral to many high-performance computing (HPC) and machine learning applications. However, prior field-programmable gate array ...

Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

The Long Multiplication Benchmark evaluates Large Language Models (LLMs) on their ability to handle and utilize long contexts to solve multiplication problems. Despite long multiplication requiring ...

Unless you plan to lock yourself in a room for the rest of your life, it’s impossible to exist without at least some level of stress every day, even while you’re on vacation. And that’s okay. Stress ...

WAIKOLOA, Hawaii — In a panel discussion at Orthopedics Today Hawaii, Aaron J. Krych, MD, reviewed three papers on meniscus tears published in 2025 that have impacted his practice.