Robotics Archive - Rock the Prototype - Softwareentwicklung & Prototyping

AI & Us – Software development & artificial intelligence

Sascha Block2024-06-28T12:38:58+02:00Categories: Artificial intelligence (AI)|Tags: AI, AI, AI applications, AI Applications, AI Frameworks, AI Future, AI software development, AI technologies, AI Technologies, AI Tools, AI Tools, Artificial intelligence, Artificial intelligence, Automation, Automation, Career IT, Coding, Deep learning, Digital transformation, Digital transformation, Innovation, IT Career, machine learning, neural networks, neural networks, neural networks, Programming, Robotics, Robotics, Software development AI, Technology trends|

Artificial intelligence and us Welcome to the first episode

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AI Frameworks

Sascha Block2023-12-16T10:14:26+01:00Tags: Algorithms, Apache MXNet, Automation, Caffe, Cloud services, Data analysis, Deep learning, E-learning, Edge Computing, Ethics, Fast.ai, Fraud detection, Game development, IoT, IT Security, Keras, machine learning, medical diagnostics, Microsoft Cognitive Toolkit (CNTK), Model management, natural language processing, NLP, OpenAI Gym, Privacy, PyTorch, Robotics, Scikit-learn, TensorFlow, Theano|

AI frameworks are collections of software libraries, tools and guidelines that are specifically designed for the development of artificial intelligence (AI) are designed. Such frameworks provide developers with a structured starting point with a powerful AI environmentin which they can develop and implement algorithms for machine learning (ML), deep learning, natural language processing (NLP) and other AI-related technologies. Top 10 AI frameworks, Types of AI frameworks, Technological aspects of AI frameworks Application areas and use cases of AI frameworks

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Reinforcement Learning

Sascha Block2025-01-26T18:51:25+01:00Tags: Actor-Critic Models, algorithmic trading, AlphaGo, autonomous vehicles, computational complexity, Deep Q-Networks, DQN, energy optimization, ethics in AI, Exploration vs. exploitation, Google Dopamine, Markov Decision Process, MDP, OpenAI Five, OpenAI Gym, overfitting, Policy-Based Methods, Portfolio Optimization, PyTorch, Q-Learning, Reinforcement Learning, Reward Design, reward maximization, RL, RLlib, Robotics, safety in AI, Scalability, Smart grids, sparse rewards, Stable baselines, Supervised Learning, TensorFlow, Unsupervised Learning|

Reinforcement learning is a branch of machine learning that trains agents to make optimal decisions by interacting with their environment. Reinforcement learning is used in autonomous vehicles, robotics, games such as AlphaGo and AlphaZero and the optimization of resources in energy systems.

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Robotics

AI & Us – Software development & artificial intelligence

AI Frameworks

Reinforcement Learning

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