For decades, Java has been the enterprise world's go-to programming language—the reliable, if somewhat verbose, workhorse powering everything from banking systems to e-commerce platforms. But when the ...

Compute-In-memory (CIM) has shown significant potential in efficiently accelerating deep neural networks (DNNs) at the edge, particularly in speeding up quantized models for inference applications.

Computing-in-memory (CIM) chips have demonstrated promising high energy efficiency on multiply–accumulate (MAC) operations for artificial intelligence (AI) applications. Though integral (INT) CIM ...

This repository contains Java projects showcasing object-oriented principles, algorithms, and real-world applications. Ideal for learners and developers aiming to build scalable, cross-platform ...

To fully exploit the potential of parallel computing while minimizing hardware costs, floating-point multiply-add (FMA) units that support multiple precisions are widely used in deep learning. However ...