Moving past speculation: How deterministic CPUs deliver predictable AI performance

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the ...
Devdiscourse

Quantum deep learning decades away from practical breakthrough

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
How-To Geek on MSN

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 ...
MrExcel on MSN

Excel Multiplication Made Easy: 8 Examples You Must Know

Discover eight practical ways to multiply in Excel, from basic formulas to advanced tips. Perfect for beginners and Excel ...
Colorado Public Radio

As AI data centers multiply across the Mountain West, so do fears over water use

"Directions to 255 USA Parkway," Brian Armon asked his phone's AI assistant, which responded with a virtual map and a traffic report. Armon, a commercial real estate broker, was driving to the Tahoe ...
Seeking Alpha

ASML Results Update: Price Power Remains Key In A Growing Market

ASML is rated Hold, reflecting strong fundamentals, cash generation, and unique market dominance in advanced lithography for AI-driven chip demand. ASML benefits from robust pricing power and ...
MacRumors

M4 vs. M5 Chip Buyer's Guide: How Much Better Really Is M5?

Apple's newly introduced M5 chip takes Apple silicon to the next level, delivering meaningful gains across CPU, GPU, and AI workloads, but how does it compare to the M4? With the M5, Apple is heavily ...
IEEE

Performance Analysis of the Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...