Field Programmable Gate Arrays with Natural Language Processing

Introduction

In this paper we examine how using field programmable gate arrays (FPGA) with Natural Language Processing (NLP) software can increase throughput speeds by a factor of over 30 with 133x less power consumption as compared to a traditional enterprise-scale infrastructure using Cloud resources. Read Full Text Here

 


Recent posts

Related Posts

"The Journal on Terrorism and Security Analysis."  From Strategy to Tactics: Analyzing al-Qaeda in the Arabian Peninsula’s Inspire Magazine, Issue 17

Rosoka is proud to be partnered with Norwich University, whose students have recently been...

CONTINUE READING

Quote Analysis Using the Rosoka Python API

Introduction

In this paper we describe how Rosoka’s Python API can be used to easily extract...

CONTINUE READING

Rosoka’s Hybrid AI Approach

Abstract

This paper describes how Rosoka uses AI to expand the language models during both...

CONTINUE READING