Multidimensional scaling (MDS)
Multidimensional scaling (MDS) is a statistical technique used for visualizing the level of similarity of individual cases in a dataset.
Technology & Innovation
CUDA
CUDA is a parallel computing platform and programming model developed by NVIDIA that enables developers to utilize graphics processing units (GPUs) for general purpose computing tasks. It is widely used in fields such as scientific computing, machine learning, and computer graphics.
BGE (BAAI general embedding)
BGE (BAAI General Embedding) is a large-scale pre-trained embedding model developed by the Beijing Academy of Artificial Intelligence (BAAI) designed to generate high-quality vector representations for various data types. It serves as a foundational model for natural language processing and other AI applications.
DeepMind
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.
European Laboratory for Learning and Intelligent Systems (ELLIS)
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
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 autoencoder for interpretability
Sparse autoencoders are a type of neural network that enhances interpretability by encouraging sparsity in the hidden layers, facilitating better feature extraction.
Style transfer (neural network)
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
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)
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.