Kevin Yager—leader of the electronic nanomaterials group at the Center for Functional Nanomaterials (CFN), a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory—has imagined how recent advances in artificial intelligence (AI) and machine learning (ML) could aid scientific brainstorming and ideation.
It’s a story that’s become all too familiar — high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst.
In October, President Biden signed an executive order outlining how the United States will promote safe, secure and trustworthy AI.
In a new study published on 14 October 2023, in the journal Human-Centric Intelligent Systems, researchers from University Teknikal Malaysia Melaka (UTeM), have unveiled a novel approach to Human Activity Recognition (HAR) that transcends traditional limitations.
Scientists have created tiny moving biological robots from human tracheal cells that can encourage the growth of neurons across artificial ‘wounds’ in the lab. Using patients’ own cells could permit growth of Anthrobots that assist healing and regeneration in the future with no need for immune suppression
Researchers from the McKelvey School of Engineering demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence (AI) computing.
Large-language models could soon become essential tools for diagnosing diseases. To protect people’s privacy, medical professionals must drive the development and deployment of such models.
Traditional remote sensing satellites have struggled to meet the growing demand for real-time, popular applications of geospatial data. LuoJia3-01, launched on January 15, 2023, addresses this by establishing a novel, open-mode experimental verification platform that integrates remote sensing and communication.
Facial palsy can now be detected using a digital camera and an algorithm, thanks to a new tool developed by researchers from the University of South Australia and Middle Technical University in Iraq. .The tool promises to reduce diagnostic errors that often occur with this condition.
In a time when the Internet has become the main source of information for many people, the credibility of online content and its sources has reached a critical tipping point.
The Department of Energy’s Oak Ridge National Laboratory has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for scientific discovery.
A new AI-assisted molecular diagnostic platform capable of identifying variants of COVID-19 and other infectious diseases has been developed by scientists in the UK. The low cost, portable device could play a crucial role in preventing future pandemics due to its accuracy and versatility.
New calculations from Google DeepMind grow Berkeley Lab's Materials Project, an open-access resource that scientists use to develop new materials for future technologies. Some of the computations were used alongside data from the Materials Project to test A-Lab, a facility at Berkeley Lab where artificial intelligence guides robots in making new materials.
University of Washington researchers found that when prompted to make pictures of “a person,” the AI image generator over-represented light-skinned men, failed to equitably represent Indigenous peoples and sexualized images of certain women of color.
Influencing the US election or the UK's political future by using a combination of the personal information posted on Facebook by millions of people and powerful data analysis technology.
Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging.
A multi-institutional team led by Columbia Engineering has won a $5 million National Science Foundation (NSF) grant to address AI systems learning biases we don't want them to have and showing discrimination based on gender, race, religion, or other sensitive attributes.
Computer scientists led by Ning Zhang at the McKelvey School of Engineering developed AntiFake, a tool to protect voice recordings from unauthorized speech synthesis.
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