Codesign for Industrial Robotics and the Startup Pivot
Dan Sorin discusses his work at Realtime Robotics, which has pushed the boundaries of autonomous motion planning, enabling real-time decision-making in dynamic environments.
Dan Sorin discusses his work at Realtime Robotics, which has pushed the boundaries of autonomous motion planning, enabling real-time decision-making in dynamic environments.
Chris Monroe says that the hype around Google's new quantum computing chip "Willow" is mostly overblown
Robert Calderbank makes the case for a different approach to waveforms for the next iteration of wireless communication
Professor Steve Cummer says, "There is way more going on in thunderstorms than we ever imagined. As it turns out, essentially all big thunderstorms generate gamma rays all day long in many different forms.”
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