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  The Future of AI Chips Might Not Be GPU

In the layout of AI computing architectures, the model of CPUs working in collaboration with accelerator chips has become a typical AI deployment solution. CPUs act as providers of basic computing power, while accelerator chips are responsible for enhancing computational performance, aiding in the efficient execution of algorithms. Common AI accelerator chips can be categorized into three main types based on their technological paths: GPU, FPGA, and ASIC. In this competition, GPUs have emerged a...

   MICROSOFT,ARM,INTEL,NVIDIA,GPU,OPENAI,CUDA     2024-06-21 22:43:00

  9 Ways to Create Thread Pools with Java Executors

In Java, the Executors class provides a variety of static factory methods to create different types of thread pools. When learning about thread pools, the Executors class is indispensable. Mastering its usage, principles, and scenarios will enable you to apply it smoothly in actual project development. Here are some commonly used methods, which I will explain one by one: newCachedThreadPool(): Creates a cached thread pool. If a thread has not been used for 60 seconds, it will be terminated and ...

   TUTORIAL,JAVA THREAD     2024-07-19 23:07:09

  Cleansing data with Pig and storing JSON format to HBase with Pig UDF

Introduction This post will explain you the way to clean data and store JSON format to HBase. Hadoop architect experts also explain Apache Pig and its advantages in Hadoop in this post. Read more and find out how they do it. This post contains steps to do some basic clean the duplication data and convert the data to JSON format to store to HBase. Actually, we have some built-in lib to parse JSON in Pig but it is important to manipulate the JSON data in Java code before store to HBase. Apache Pig...

   JSON,HADOOP ARCHITECT,APACHE HBASE,PIG UDF     2016-06-10 01:13:41

  Deploying DeepSeek-R1 Locally with a Custom RAG Knowledge Data Base

Project Design Purpose : The primary goal of this article is to explore how to deploy DeepSeek-R1 an open-source large language model (LLM), and integrate it with a customized Retrieval-Augmented Generation (RAG) knowledge base on your local machine (PC/server). This setup enables the model to utilize domain-specific knowledge for expert-level responses while maintaining data privacy and customization flexibility. By doing so, users can enhance the model’s expertise in specific technical ...

   LLM,RAG,DEPLOYMENT     2025-02-10 00:17:37

  2D Indoor CQB Robot Simulation

Program Design Purpose: The integration of robots in Close Quarters Battle (CQB) represents a significant advancement in modern military and law enforcement tactics. These robots, designed to navigate tight spaces, gather real-time intelligence, and engage threats, are invaluable assets in high-stakes scenarios. Our goal is to develop a 2D tactical board simulation system, similar to a computer game, that can load building floor blueprints, display CQB squad (robot) positions, enemy locations, ...

       2024-08-11 08:40:31

  SIEM Big Data Visualization [03]:Graph-Based SIEM Log Analysis Dashboard

Program Design Purpose: The purpose of this program is to develop a Graph-Based SIEM (System Information and Event Management) dashboard that visualizes network communication patterns by processing and analyzing logs from IDS, firewalls, host computers, and other security devices. This dashboard will help security analysts quickly identify and investigate potential threats by using a Cytoscape-style Node-Edge graph for intuitive data representation. The program is an angular plug in which can i...

       2024-10-26 04:31:11

  IT System Cyber Attack Case Study 01: Malicious Macro and Backdoor Trojan Attack on IT-Network

Project Design Purpose: The objective of this cyber attack case study is to develop a workshop showcasing a practical demonstration of a red team attacker implementing an IT system/network attack via a Malicious Macro MS-Office-Word file (CVE-2015-1641) and phishing email generation program to penetrate multiple layers of firewall defenses and implant a backdoor trojan into the railway system's OT network. Related Links: GitHub Project Link , LinkedIn Post Link Attacker Vector: Malicious Macro ...

       2024-08-03 08:21:49

  IoT System Cyber Attack Case Study 02: Python Deserialization Attack and Library Hijacking Attack

Project Design Purpose: The objective of this cyber attack case study is to develop a workshop that demonstrates how a red team attacker can permanently compromise a people detection radar IoT device. The attack path is achieved through a series of attacks, including traffic eavesdropping, data deserialization attacks, web shell attacks, remote command/code execution, and Python library hijacking attacks. This case study is intended for IoT and data security professional training, aiming to ill...

       2024-07-14 01:40:09

  The four key figures behind the success of JavaScript - Douglas Crockford

JavaScript's success can be attributed to at least four key figures: Brendan Eich, the creator of JavaScript Douglas Crockford, the creator of JSLint and JSON John Resig, the creator of jQuery Ryan Dahl, the creator of Node.js. We are already very familiar with Brendan Eich and the invention process of JavaScript, so let's start with Douglas Crockford, the second in command of JavaScript. Alliance In the 1990s, Microsoft's dominance overshadowed the whole world. At this time, two challengers e...

   JAVASCRIPT,DOUGLAS CROCKFORD,HISTORY     2023-05-07 06:42:30

  Your Ultimate Guide to Restoring Database Backups in SQL Server 2012

Summary: Let’s learn how to restore a SQL Server database backup for SQL Server 2012. There are various methods of taking database backups, which include using T-SQL code, SQL Server Management Studio, or third-party applications. These backups taken are purposely saved to be restored when the database becomes corrupt or crashes, migrating the database, making a copy of the database, and other business requirements. In this crash course, we will be focusing on how to restore SQL Server da...

   BACKUP,MSSQL     2024-09-24 09:38:09

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