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.
Vivek Rao is a guest on a podcast talking about the impact of AI and other emerging technology on the future of design and design leadership.
Amanda Randles has developed computational methods that create ultra-realistic 3D simulations of biological processes within the human body down to the cellular level.
Olivier Delaire comments about research that could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat
Kafui Dzirasa advised the first study published by the African Ancestry Neuroscience Research Initiative
Lee Ferguson and collaborators from Texas Tech find that lithium ion battery production and disposal is a major contributor to a type of PFAS contamination in the environment
Mike Bergin and David Carlson show a method for statistically compensating for a lack of heat data in underserved urban areas
Lee Ferguson talks about his work to find PFAS chemicals in the environment across the countries and trace their sources
Doug Nowacek says there are no links whatsoever between the offshore wind development activity and especially the humpback whale mortalities.
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
