This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

Geopolitics have entered the AI space, most notably limiting Nvidia's AI opportunities in China. We are skeptical that Nvidia's China AI business will be allowed to recover, regardless of the US ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

New architectures and manufacturing methods draw investors; 75 startups raise $1.9 billion.

Explore the BHEL Artisan Syllabus 2025, including exam pattern, post-wise syllabus, prep tips, and other details on this page ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

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

In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, the column ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...