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How to run R-style linear regressions in Python the easy way

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

Berkeley boffins build better load balancing algo with AI

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.
Indiatimes

Janhvi Kapoor reacts to fans’ 'ship' name for her and Shikhar Pahariya, ‘Multiplication ka abhi koi time nahi hai mere paas'

Amid promotions for her new film Sunny Sanskari Ki Tulsi Kumari with Varun Dhawan, Janhvi Kapoor recently had a hilarious moment during a recent interview, and it wasn’t about the movie. Fans tried ...
IEEE

GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
IEEE

Accelerating Sparse Matrix-Matrix Multiplication by Adaptive Batching Strategy on MGPUSim

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 ...