This paper develops a distribution-on-scalar single-index quantile regression modeling framework to investigate the relationship between cancer imaging responses and scalar covariates of interest ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering Earth system mechanisms. To overcome the spatiotemporal resolution ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...

Generative artificial intelligence enthusiasts are always on the lookout for brand-new AI models released for public testing ahead of their commercial launch, and in the past few weeks, they have ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

R Symons Electric Vehicles, a U.K.-based electric vehicle dealer, drove two nearly identical Tesla Model 3s 200 miles for a range and efficiency test. Despite one car having 225,000 miles, it was just ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...