Media Hits

Ken Brown adds context to various recent reports of advances in error correction for quantum computing

Emily Wenger explains that if you feed an AI its own dog images enough times, errors in those images will eventually prevent it from being able to produce images that look like dogs at all.

Cynthia Rudin says travelers should not worry too much about new security measures at airports given the rules governing their use and storage.

Emily Wenger emphasizes the risks associated with recursive self-improvement in AI models. She highlights that without careful oversight, these systems might amplify their own mistakes, leading to unpredictable and potentially harmful outcomes.

Yiran Chen discusses China's initiatives to bridge the gap in AI development and the influence of open-source AI models on the US-China competition.

An AI model developed by Cynthia Rudin that can quickly interpret the complicated signals generated by EEGs may help hospitals take better care of critically ill patients at risk for seizures

Guillermo Sapiro and colleagues demonstrated that a tablet-based app could accurately classify children with autism compared to neurotypical children

Cynthia Rudin created an assisted machine learning model that significantly enhances the ability of medical personnel to read the electroencephalography (EEG) charts of patients in intensive care

Chris Monroe comments on work to create quantum entanglement between two nodes in a network

Kenneth Brown comments on an algorithm for quantum computing that recently had its greatest theoretical advance in more than 25 years

Without changes, thousands of academic papers could be sent to chatbots as reviewers without the knowledge of the authors, Cynthia Rudin warns.

Yiran Chen says that the US's ban on selling the latest computer chips that enable generative AI could leave China behind and unable to catch up