Rare species can be mapped more accurately with new statistical approach

Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
CU Boulder News & Events

Data Science Foundations: Statistical Inference Specialization

This online data science specialization is designed to provide you with a solid foundation in probability theory in preparation for the broader study of statistics. The specialization also introduces ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
JSTOR Daily

FACTOR MODELING FOR HIGH-DIMENSIONAL TIME SERIES: INFERENCE FOR THE NUMBER OF FACTORS

This paper deals with the factor modeling for high-dimensional time series based on a dimension-reduction viewpoint. Under stationary settings, the inference is simple in the sense that both the ...

Clarifai’s new reasoning engine makes AI models faster and less expensive

The AI platform Clarifai has launched a new reasoning engine that it claims will make running AI models twice as fast and 40% ...
JSTOR Daily

Inference for the Poly-Weibull Model

We consider inference for the poly-Weibull model, which arises in competing risk scenarios when the risks have independent Weibull distributions and it is not known which is responsible for the ...