This paper proposes a multi agent system by compiling two technologies, query processing optimization and agents which contains features of personalized queries and adaption with changing of requirements. This system uses a new algorithm based on m...
Jan 14, 2026 · The Trump administration has indefinitely suspended immigrant visa processing for people from 75 countries, marking one of its most expansive efforts yet to restrict legal pathways to …
In this paper, we present electromagnetic signal and information theory (ESIT). ESIT is an interdisciplinary scientific discipline, which amalgamates electromagnetic theory, signal processing theory, and information theory. ESIT is aimed at studying...
Dataflow networks have application in various forms of stream processing, for example for parallel processing of multimedia data. The description of dataflow graphs, including their firing behavior, is typically non-compositional and not amenable to...
In this paper, we introduce the Fully Homomorphic Integrity Model (HIM), a novel approach designed to enhance security, efficiency, and reliability in encrypted data processing, primarily within the health care industry. HIM addresses the key challen...
Neural networks trained on large datasets by minimizing a loss have become the state-of-the-art approach for resolving data science problems, particularly in computer vision, image processing and natural language processing. In spite of their strikin...
Jun 6, 2025 · As companies invest in the infrastructure needed to run artificial intelligence, Google’s tensor processing unit (TPU) has become even more valuable. Here’s what to know about TPUs and …
Nov 20, 2025 · Tensor processing units (TPUs) are specially designed AI accelerators. They are a type of application-specific integrated circuit (ASIC), or chips designed for specific tasks. For TPUs, that …
Jul 30, 2025 · Understanding Google’s Tensor Processing Units (TPUs) – the specialized chips reshaping AI capabilities in today's data center environments.
Python functions that are used to process SSB datasets (⭐ 0)
This study provides an overview of the history of the development of Natural Language Processing (NLP) in the context of the Indonesian language, with a focus on the basic technologies, methods, and practical applications that have been developed. Th...
This article investigates the question, if it is economically feasible for a large publishing house to waive article processing charges for the group of 47 so called least developed countries (LDC). As an example Springer-Nature is selected. The anal...
T-Rex is a general purpose Complex Event Processing (CEP) Infrastructure designed to support an expressive language for rule definition while offering efficient processing mechanisms. (⭐ 42)
BNLP is an open source language processing toolkit for Bengali language consisting with tokenization, word embedding, POS tagging, NER tagging facilities. BNLP provides pre-trained model with high accuracy to do model based tokenization, embedding, P...
Imgix - Image Processing On-Demand, Served By CDN Dashboard Website
It is the cornerstone upon which signal and image processing is built. This short chapter can not be a comprehensive survey of linear algebra; it is meant only as a brief introduction and re-view.
Nvidia Tesla is the former name for a line of products developed by Nvidia targeted at stream processing or general-purpose graphics processing units (GPGPU)
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition. (⭐ 664)
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AI Intelligent Document Processing, IDP, ID Verification, KYC and Compliant Customer Journeys for Banks, Auto Finance, Telecoms.