A/B Test Advanced Toolkit is an experimental Python library designed for advanced A/B testing analysis. It leverages statistical techniques and machine learning, including variance reduction through ...

Abstract: This letter studies the synthesis of an active perception policy that maximizes the information leakage of the initial state in a stochastic system modeled as a hidden Markov model (HMM).

The US government is launching an early career hiring and talent development program to bring more technology and artificial intelligence employees to the public sector, as part of the Trump ...

The data centers used for work on artificial intelligence can cost tens of billions to build. Tech giants are finding ways to avoid being on the hook for some of those costs. By Karen Weise and Eli ...

A significant proportion of firms have yet to implement new audit technologies and methods, citing poor training, lack of quality data, lack of systems access and lack of funds as the primary reasons.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like ...

Abstract: We study the problem of blind super-resolution, which can be formulated as a low-rank matrix recovery problem via vectorized Hankel lift (VHL). The previous gradient descent method based on ...