What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
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 ...
Qualcomm’s answer to Nvidia’s dominance in the artificial acceleration market is a pair of new chips for server racks, the A1200 and A1250, based on its existing neural processing unit (NPU) ...
TCT 857: National Trends in Nonrheumatic Valvular Heart Disease Mortality Before and After the COVID-19 Pandemic in the United States Receive the the latest news, research, and presentations from ...
If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...
As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...
How do you shape perception ethically when storytelling beats facts? One compelling framework that offers clarity is Bayesian persuasion, introduced by economists Kamenica and Gentzkow in 2011, —a ...
ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...
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