Prototyping Wiki Archive - Page 3 of 10 - Rock the Prototype

Cybercrime

Sascha Block2025-01-06T20:53:32+01:00Tags: Cyber fraud, Cyber theft, Cybercrime, Cyberespionage, Cyberstalking, Cyberterrorism, Hacking, Identity theft, Internet fraud|

What is cybercrime? Cybercrime refers to illegal activities that are carried out using the internet or other forms of digital communication. This includes a variety of cybercrimes such as cyber fraud, cyber theft of digital identities, the spread of malware, unauthorized access to data and systems, and attacks on network infrastructures. Cybercrime uses digital technologies as a means to an end. Find out more now!

Jetzt weiterlesen

Deep learning frameworks

Sascha Block2025-02-01T17:01:23+01:00Tags: Activation Functions, AI benchmarking, AI deployment in the cloud, AI ethics, AI for autonomous systems, AI for companies, AI for image recognition, AI for language models, AI for recommendation systems, AI for robotics, AI for word processing, AI Frameworks, AI in medicine, AI in production, AI in the automotive industry, AI in the financial sector, AI infrastructure, AI optimization, AI Performance, AI Pipeline, AI Research, AI toolkits, AI training, Algorithmic fairness, Algorithmic optimization, Artificial intelligence, artificial neural networks, Autoencoder, AutoML, Backpropagation, Batch Normalization, BERT, Bias in AI, Big Data, Caffe, Cloud-based AI, Clustering, CNTK, Computer Vision, Convolutional Neural Networks, Cross Validation, Data Augmentation, Data Parallelism, Data Science, Deep learning, Deep reinforcement learning, DeepMind, Deployment of AI models, Deployment strategies, Dropout, Edge AI, Edge Computing, Explainable AI, Feature engineering, Federated Learning, Few-Shot Learning, FPGAs, Generative Adversarial Networks, GPT, GPU acceleration, Gradient Descent, Graph Neural Networks, Hardware acceleration for AI, High-Performance Computing, Hyperparameter optimization, Hyperparameter tuning, Image classification, Industrial applications for AI, Inference, Interpretability of models, JAX, Keras, Language processing, Loss function, LSTM, machine learning, Machine Learning Operations, MobileNet, Model compatibility, Model compression, Model management, Model Parallelism, Model Quantization, Model Serving, Model validation, MXNet, natural language processing, neural networks, neuronal architecture, NVIDIA CUDA, Object recognition, ONNX, Open Source, OpenAI, OpenAI Gym, Optimization, PyTorch, Recurrent Neural Networks, Regularization, Reinforcement Learning, ResNet, Scalability, TensorFlow, Theano, TPUs, Training of models, Training Pipelines, Transfer Learning, Transformer models, VGG, Zero-shot learning|

What are deep learning frameworks? Deep learning frameworks are

Jetzt weiterlesen

Design Pattern

Sascha Block2023-12-06T14:35:04+01:00Tags: Design Pattern, Programming, Software Architecture, Software Design|

A design pattern is a design pattern for software as an abstract description. In programming, design patterns are usually object-oriented code drafts. Design patterns solve a class of problems.

Jetzt weiterlesen

Domain Driven Design (DDD)

Sascha Block2025-02-06T09:57:54+01:00Tags: .NET DDD, Aggregate root, Aggregates, Anticorruption Layer, API coupling, API design, Application Services, Architectural decisions, Architectural principles, Bounded Context, Business logic, Communication between contexts, Complexity reduction, Context boundaries, Context Mapping, CQRS, DDD, DDD and microservices, DDD Best Practices, DDD Frameworks, DDD Implementation, DDD Patterns, Dependency Injection, Domain Events, Domain logic, Domain Model, Domain Services, Domain-Driven Design, Entities, Eric Evans, Event Sourcing, Event Storming, Event-driven architecture, Factories, Hexagonal architecture, Interfaces, Legacy systems, Microservices, Modeling techniques, Modularization, Open Host Service, Persistence layer, Published Language, Refactoring, Repositories, Separated Ways, Shared Kernel, Software Architecture, Software components, Software development, Software modeling, Spring Boot DDD, Strategic Design, System Design, Tactical design, Technical debt, Ubiquitous Language, Value Objects|

Domain-Driven Design (DDD) is a strategic approach to software development that focuses on placing the functional domain of a system at the center of the architecture. Instead of focusing primarily on technical aspects such as databases, frameworks or infrastructure, DDD relies on close interaction between developers and domain experts.

Jetzt weiterlesen

Framework

Sascha Block2025-01-10T15:31:04+01:00Tags: Blueprint, Design Pattern, Frameworks, Guidelines, Programming, Programming language, Rules, Software Architecture, Software Design, Software development|

A framework is a set of guidelines or rules that provides a structure for the organization and development of code in a particular programming language or platform. The framework serves as a basis or blueprint on which to build when developing software applications.

Jetzt weiterlesen

Gemini AI model

Sascha Block2023-12-09T19:11:54+01:00Tags: AI development, AI ethics, AI innovation, AI integration, AI model, AI regulation, AI technology, Artificial intelligence, Audio processing, Code generation, Data security, Deep learning, ethical AI, Gemini, Google DeepMind, Image analysis, Language processing, machine learning, Multimodality, neural networks, Privacy, Reinforcement Learning, Research and development, Supervised Learning, Technology innovation, Text analysis, Unsupervised Learning, Video analysis|

Gemini is an advanced AI language model developed by Google DeepMind. It serves as the successor to the earlier AI models LaMDA and PaLM 2 and was presented by google in December 2023. Gemini is characterized as an AI model by its multimodality, which means that it can process different types of data, including text, images, audio, video and computer source code. What can the gemini AI do? Gemini will be integrated into Google's search engine, the google advertising products and the Chrome browser. Learn all about google AI now...

Jetzt weiterlesen

Generative pretrained transformer (GPT) – AI tech & AI learning models

Sascha Block2024-04-01T22:39:39+02:00Tags: AI, AI, Alan Turing, AlexNet, Backpropagation, Context limitations, Dartmouth Conference, Deep Blue, Deep learning, Distortions, Embeddings, Fine tuning, Generative Pretrained Transformer, GPT, GPT-2, GPT-3, ImageNet, machine learning, neural networks, neural networks, OpenAI, Positional Encoding, Self-Attention, Text generation, Tokenization, Top-k Sampling, Transformer architecture, Turing test, Unsupervised Learning, unsupervised learning|

What is a generative pretrained transformer (GPT)? A Generative Pre-Trained Transform - GPT for short - is an advanced machine learning AI model based on the Transformer architecture. This AI technology was developed by OpenAI and is known for its ability to generate high-quality texts that are similar to those of a human being. The core of GPT technology lies in the use of large amounts of data to pre-train the model before it is fine-tuned for specific tasks.

Jetzt weiterlesen

Genetic algorithms

Sascha Block2023-12-08T12:10:16+01:00Tags: Adaptability in AI, AI decision making, AI development, AI modeling, algorithmic innovations, algorithmic models, algorithmic pattern recognition, Algorithms in AI, Artificial intelligence, Automation in AI, Climate change prediction, Data-driven optimization, digital maps, Ecological data analysis, Effects of climate change, Environmental informatics, Environmental management, Environmental planning, Environmental strategies, evolutionary algorithms, Feature selection, genetic algorithm, Genetic programming, Hyperparameter tuning, Learning algorithms, machine learning, machine learning training, Nature conservation, neural networks, Optimization, Optimization algorithms, Resource management, Simulation, Sustainable decision-making, Sustainable use of resources|

Genetic algorithms are a class of optimization methods based on the principles of natural evolution and genetics. A genetic algorithm is ideal for finding solutions to complex problems by mimicking evolutionary processes such as selection, crossover and mutation. In the field of machine learning, genetic algorithms offer a unique and effective approach, especially when it comes to optimizing learning models and selecting features.

Jetzt weiterlesen

GitHub

Sascha Block2024-12-09T08:40:16+01:00Tags: App, Apps, Code versioning, Commit, Frameworks, Git, Git element, Git environment, Git-VCS, GitLab, Programming, Release versioning, Remote repositories, Remote repository, Repo, Repository, Repository directory, Software Architecture, Software Design, Software versioning, Source code versioning, Stage, Track, VCS, Version control, Version Control System, version controlled, Web App, Web Apps|

What is GitHub? GitHub is a cloud-based platform for versioning software based on Git versioning. GitHub online repositories are very popular and therefore widely used. GitHub is a version control system

Jetzt weiterlesen

Prototyping Wiki

Cookies von Drittanbietern