If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Abstract: Sparsification technology is crucial for deploying convolutional neural networks in resource-constrained environments. However, the efficiency of sparse models is hampered by irregular ...

Abstract: General Matrix Multiplication (GEMM) is one of the most common kernels in high-performance computing (HPC) and machine-learning (ML) applications, frequently dominating their execution time, ...