Machine learning

Google is integrating AR into many Google products, from Google Lens to multisearch, scene exploration, and Live and immersive views in Maps. Google I/O 2022, [… Read more ]

Federated learning is a machine learning technique that trains a model over several dispersed nodes or hosts, as the name suggests. Each node utilizes its [… Read more ]

Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them. Modern machine-learning models, such as neural networks, [… Read more ]

MIT research scientists Pablo Rodriguez-Fernandez and Nathan Howard have just completed one of the most demanding calculations in fusion science — predicting the temperature and [… Read more ]

Data limitations, evaluation issues, and publishing incentives may be slowing the clinical progress of machine learning in medical imaging, a new study finds. April 13, [… Read more ]

The base rate fallacy is a kind of fallacy that is also known as base rate bias and base rate neglect. This kind of fallacy [… Read more ]

Reinforcement learning is one of the fascinating fields of computer science, and it has proven useful in solving some of the toughest challenges of artificial [… Read more ]

The growing digitization of nearly every aspect of our world and lives has created immense opportunities for the productive application of machine learning and data science. Organizations [… Read more ]

Many machine learning tasks require high-quality data, such as assessing damage in a satellite that negatively affects a model’s performance. Datasets can cost millions of [… Read more ]

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms. [… Read more ]

Machine learning can help mitigate the biases present within organisations’ recruiting practices Artificial intelligence has often been portrayed as dystopian when it comes to human resources. [… Read more ]

Databases are fundamental to training all sorts of machine learning and artificial intelligence (AI) models. Over the last two decades, there has been an explosion of datasets [… Read more ]

A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced. If a machine-learning model is [… Read more ]

There’s no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to [… Read more ]