IEEE

Multiple Precision Floating-Point Fused-Multiply-Add Processor with Hardware Reuse Architecture

Abstract: Neural Networks face challenges with traditional floating-point computing architectures due to complexity, power, and latency. This work presents a general-purpose multiple precision ...
IEEE

A Hierarchical Approximate Floating Point MAC Unit with Precision-Adaptive Self-Configuration

Abstract: The floating point Multiply-Add-Computing (FP-MAC) is one of the most resource-consuming and frequently used operation in image processing. In this paper, a precision-adaptive FP-MAC unit is ...
Hacker

Float vs Int Confidence Scores: Why LLM Output Format Changes Model Behavior

I am an AI Master’s student and the founder of EcomIntercept, proffesional LLM deep diver. I am an AI Master’s student and the founder of EcomIntercept, proffesional LLM deep diver. I am an AI ...