Leaked Docs Reveal CDC Is Backing Modern-Day Tuskegee Study

The Trump administration’s CDC is funding a heavily flawed vaccine trial in west Africa that is being described as “another ...

First on CNN: Experimental brain therapy brings new hope for treatment-resistant depression

At Stanford, a treatment that aims magnetic pulses at the brain is showing results for people with treatment-resistant ...
IEEE

Maintaining Driver Arousal With Warning Sounds Under Habituation: Effects of Sound Type, Novelty, and Conditioning-Based Learning

Abstract: This study investigated methods to sustain driver arousal in driver-assist systems by considering habituation to repeated warning stimuli. Two experiments examined three approaches: using ...
Honolulu Star-Advertiser

Instacart ends AI-driven price experiments after criticism

Instacart is ending price tests that resulted in ‌different shoppers being shown different prices ‌for groceries, the online retail platform said today after criticism of its artificial ...
GitHub

Randomized Benchmarking

A randomized benchmarking (RB) experiment consists of the generation of random Clifford circuits on the given qubits such that the unitary computed by the circuits is ...
ABC7

Instacart responds to new report on grocery store price experiments

New research has put a spotlight on how new technology has changed the way retailers may start setting grocery prices, with one study finding that some shoppers are paying different prices for the ...
The New York Times

Book Review: ‘The Experiment,’ by Rebecca Stead, and ‘Outside,’ by Jennifer L. Holm

Jennifer L. Holm’s “Outside” and Rebecca Stead’s “The Experiment” both feature well-meaning grown-ups who do everything to protect their kids — and fail. By Gayle Forman Gayle Forman is the author of ...
IEEE

Valuing Training Data via Causal Inference for In-Context Learning

Abstract: In-context learning (ICL) empowers large pre-trained language models (PLMs) to predict outcomes for unseen inputs without parameter updates. However, the efficacy of ICL heavily relies on ...
www.hks.harvard.edu

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

April 2024, Paper: "A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework ...
Frontiers

ML-based validation of experimental randomization in learning games

1 Department of Computer Science, College of Informatics, National Chengchi University, Taipei, Taiwan 2 College of Education, National Chengchi University, Taipei, Taiwan Randomization is a standard ...