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Overview of Semiconductor Manufacturing Technology and Application of AI Technology

Overview of semiconductor manufacturing technology and application of AI technology front-end process, wafer fabrication, cleaning process, deposition process, lithography process, etching process, impurity diffusion process, etc.; back-end process, dicing, mounting, bonding, molding, marking, bumping process, packaging, diffusion, ion implantation Annealing, wet etching, dry etching, immersion lithography system, EUV, AR excimer laser, Moore's law, 2nm, photosensitizer, photoengraving technology, stepper, thermal oxidation, CVD, sputter, Choklarsky method, ingot, Si wafer
IOT技術:IOT Technology

Hardware in Computers

Hardware in Computers Hardware in computers generally refers to physical parts and devices. Computer hard...
web技術:web technology

Overview of Container Technology and Docker for Cloud Native

Overview of container technologies that enable cloud-native utilized for digital transformation, artificial intelligence, and machine learning tasks and Docker container images, build/push functionality, cri-o, container execution, Kubernetes, the containerd, CRI-Containerd, low-level container runtime, high-level container runtime, kernel functionality, Open Container Initiative, OCI, Runtime Specification, Format Specification, Copy-on-Write, COW, cgroups, hierarchies, file systems, namespaces, virtual OS, Paas, Linux
IOT技術:IOT Technology

Operating system e.g. Linux

Operating system e.g. Linux An operating system is a type of software that manages the entire system, imple...
web技術:web technology

Cloud Computing Technology

Cloud Computing Technology Cloud computing will be a service that provides computing resources using multip...
アーキテクチャ

The computing elements and semiconductor chips that make up a computer

Computational elements and semiconductor chips that make up computers utilized for digital transformation, artificial intelligence, and machine learning tasks (switching, MOSFETs, disjunction, conjunction, negation, silicon, statistical physics, dopants, periodic table, binary operations, Boolean algebra, bits, bytes)
web技術:web technology

Server Technologies

Server technologies (nginx, Microsoft Internet Information Server (IIS), LightSpeed, lighthttpd, CERN httpd, NCSA HTTPd, Apache server, LAMP, event-driven, prefork-type) used for digital transformation, artificial intelligence, machine learning tasks
アーキテクチャ

AWS Cloud Service Design Patterns (3)

AWS Cloud Service Design Patterns utilized for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Operations and Maintenance Patterns, Bootstrap, Cloud DI, Stack Development, Server Swapping, Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, and Operational Activation). Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, Operational Firewall, Multi Load Balancer, WAF Proxy, CloudHub, Sorry Page, Self Registration, RDP Proxy, Floating Gateway, Shared Service, High Availability NAT)
web技術:web technology

Protected: On cloud-native and service-centric development

On cloud-native and service-centric development leveraged for digital transformation, artificial intelligence, and machine learning tasks inter-organizational, siloed, KPIs, business value, Conway's Law, organizational restructuring, process reform, CNCF Incubating Stage, CNCF Graduate Stage, CNCF Sandbox Stage, Technical Oversight Committee, End User Advisory Board, Cloud Native Application Development, Kubernetes Application Modernization, The Twelve-Factor App, 12 Application Principles, Container Orchestration, APIs, Service Based Architecture, SOA, Service Oriented Architecture, Microservices, Sparse Coupling, Delivery Performance, MTTR, Lead Time, Change Loss Rate, Deployment Frequency, Docker
アーキテクチャ

AWS Cloud Service Design Patterns (2)

AWS Cloud Service Design Patterns used for Digital Transformation, Artificial Intelligence and Machine Learning tasks (Data Upload Patterns, Write Proxy, Storage Index, Direct Object Upload, Relational Database Patterns, DB Replication, Read Replica, Inmemory DB Cache, Sharing Write, Asynchronous Processing, Batch Processing Patterns, Queuing Chain, Priority Queue, Job Observer, Fanout)
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