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, Google’s largest developer conference, ki...
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 own training data. If the model parameters ar...
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, a...
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 density profiles of a ...
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, 2022 – Though research on...
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 has information about the base rate and specific information. There can be i...
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 intelligence and robotics. Some scientist...
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 and institut...
Most workers want AI to help them get their jobs done. But attitudes toward how they experience AI in their lives, where they prefer to find it and who they trust to sell them its value vary across ge...
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 dollars to create if useable...
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. lgorit...
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. In one ...
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 available on the market,...
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 trained using an unbalanced dataset, such as one that c...
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 the type of output you are looking for. This guide o...