Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...

We provide R code to apply our current implementations of TMLE for estimation of causal parameters in survival and competing risks settings; this includes the iterative and the one-step targeting ...

YouTube on Tuesday announced it’s beginning to roll out age-estimation technology in the U.S. to identify teen users in order to provide a more age-appropriate experience. The company says it will use ...

CNBC’s Deirdre Bosa joins 'Money Movers' to discuss AI usage surge fueling Nvidia. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to ...

Canada experiences a relatively large number of tornadoes, which can cause a significant amount of damage and fatalities. In this study, a preferred prediction model for the spatially varying tornado ...