InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
IEEE

A Fully Row/Column-Parallel MRAM in-Memory Computing Macro With Memory-Resistance Boosting and Weighted Multi-Column ADC Readout

Abstract: This work demonstrates a 256(row) ${\times } 512$ (col.) fully row/column-parallel in-memory computing (IMC) macro employing foundry MRAM in 22-nm FD-SOI CMOS. Embedded nonvolatile memory ...
IEEE

Time Complexity of Training DNNs With Parallel Computing for Wireless Communications

Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
eWeek

How the Transition from FIRE to IRIS Is Impacting Finance Teams

Finance teams moving from IRS FIRE to IRIS need more than a new filing process. Learn how the shift affects workflows, data validation, compliance readiness, and year-end reporting.
GitHub

Pychop: efficient reduced-precision quantization library

Lower-precision floating-point arithmetic is becoming more common, moving beyond the usual IEEE 64-bit double-precision and 32-bit single-precision formats. Today, hardware accelerators and software ...
The Indian Express

JEE Main: Mathematics and Computing is the most opted course at IIT-Jammu

The choice count data for the Indian Institute of Technology (IIT) Jammu in 2025 points to a broad-based increase in student interest across undergraduate engineering programmes. The upward trend in ...
GitHub

guiyi886/szu_grab_course

szu_grab_course是基于python的深圳大学抢课脚本，下载后简单配置即可使用。 复刻于https://github.com/Lewin671/YourLesson ...