Free Information Center
DeepMind is a British artificial intelligence company known for its advancements in machine learning and neural networks. Founded in 2010 and acquired by Google in 2015, it focuses on developing AI technologies with applications in various scientific and practical domains.
The European Laboratory for Learning and Intelligent Systems (ELLIS) is a pan-European initiative focused on advancing research in artificial intelligence and machine learning. It aims to foster collaboration among European researchers and institutions to compete globally in AI innovation.
Feature engineering is the process of using domain knowledge to select, modify, or create features from raw data to improve the performance of machine learning models. It involves techniques such as transformation, extraction, and selection of attributes to enhance predictive accuracy.
Sparse autoencoders are a type of neural network that enhances interpretability by encouraging sparsity in the hidden layers, facilitating better feature extraction.
Style transfer is a technique in neural networks that applies the stylistic elements of one image to the content of another, merging aesthetics and structure.
AI research at Microsoft encompasses the company’s extensive efforts to develop and advance artificial intelligence technologies across various domains. It involves foundational research, applied projects, and collaborations aimed at integrating AI into Microsoft products and services.
Block neural autoregressive flow (BNAF) is a type of normalizing flow model used in machine learning for flexible density estimation and generative modeling. It extends neural autoregressive flows by structuring transformations in blocks, enabling efficient computation and increased expressiveness.
Information-theoretic exploration is a strategy in machine learning and artificial intelligence that guides agents to explore their environment by maximizing information gain. It leverages concepts from information theory to improve learning efficiency and decision-making in uncertain or unknown environments.
Artificial intelligence in Europe encompasses the development, regulation, and application of AI technologies across European countries. The region emphasizes ethical guidelines, research collaboration, and policy frameworks to foster AI innovation while balancing societal impacts.
Deep ensembles are a machine learning technique that combines multiple independently trained neural networks to improve predictive performance and uncertainty estimation. They are widely used to enhance model robustness and provide more reliable confidence measures in predictions.