コンピューター

Brain-machine interface utilization and OpenBCI

Brain Machine Interface applications and OpenBCI (Galea, VR, steam deck, Valve, Steam, EEG, EOG, EMG, EDA, PPG, Panatronix, UX, meditation, stress, Shimadzu, NIRS, rehabilitation, exoskeletal robots, and BMI neurorehabilitation, Blackrock Microsystems, LLC, functional compensatory, functional restorative, non-invasive, fMRI, invasive, magnetic brain field measurement, near infrared photometry, NIRD, EEG, EEG sensor, prosthetic hand)

2022.11.30

IOT技術:IOT TechnologyStream Data Processingコンピューターハードウェアユーザーインターフェース/データビジュアライゼーション

Use of ElasticStash for monitoring system operations, including microservices

Leveraging ElasticStash for system operations monitoring, including microservices leveraged for digital transformation artificial intelligence, and machine learning tasks Riemann, rollup, throttle structure, KafKa plugin, UTC, timbre LogStash, log4j, tools.logging, structured logging, common log formats, visualization features, dashboards, Kibana, pipeline, UDP, Collectd, RRD, stdin, stdout, ELK Stack, Elastic Stack Apache Kafka

2022.11.28

Clojureアーキテクチャコンピューターセキュリティデータベース技術:DataBase Technologyマルチエージェントシステム

KI 2019: Advances in Artificial Intelligence Papers

KI2019 In the previous article, we discussed KI 2018. In this issue, we describe the 42nd German Con...

2022.11.27

コンピューター人工知能:Artificial Intelligence

Installation and operation of Apache server and LAMP

Installation and operation of Apache server and LAMP (MariaDB, PHP, CentOS, Mac, Windows) utilized for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks

2022.11.18

アーキテクチャコンピューター

Introduction to FPGAs for Software Engineers Machine Learning

Summary An FPGA (Field Programmable Gate Array) is a programmable hardware device that can perform high-...

2022.11.13

コンピューターハードウェア機械学習:Machine Learning

Protected: Transition from monolithic services to microservices and service design

Overview of migration from monolithic services and design guidelines for microservices leveraged for digital transformation, artificial intelligence, and machine learning tasks (release cycle and deployment process, boundary context, productivity, components, service-oriented architecture, database isolation)

2022.10.29

アーキテクチャコンピューターマルチエージェントシステム

REST API for Microservices Overview

REST API and RESTful services, key elemental technologies of microservices used for digital transformation and artificial intelligence tasks

2022.09.17

web技術:web technologyコンピューター非同期/並行処理:Asynchronous/parallel processing

Protected: Microservices Architecture

The ideal enterprise system would be tightly integrated and provide all business functions as a single unit optimized for a particular technology stack and hardware. Such monolithic systems often become more complex over time and difficult to understand as a single unit by a single team. Domain-driven design advocates decomposing such systems into smaller modular components and assigning them to teams that focus on a single business capability in a limited context.

2022.09.05

web技術:web technologyアーキテクチャコンピューターデータベース技術:DataBase Technology

Thinking Machines Machine Learning and its Hardware Implementation

Summary Many hardware implementations of machine learning are dedicated hardware. These means include the f...

2022.09.03

コンピューターハードウェア機械学習:Machine Learning

Microservices system using Clojure

Microservices system using Clojure From Microservices with Clojure. Microservices architecture ...

2022.08.10

Clojureweb技術:web technologyコンピューターデータベース技術:DataBase Technologyマルチエージェントシステムユーザーインターフェース/データビジュアライゼーション