For up to 30% of patients who are allergic to medical contrast dye or have a dye restriction because of other health conditions, they might find that it takes longer to get a diagnosis when it comes to life-threatening lung issues such as pulmonary embolism.
Researchers from NUS, together with industry partners Soitec and NXP Semiconductors, have demonstrated a new class of silicon systems that promises to enhance the energy efficiency of AI connected devices by leaps and bounds. These technological breakthroughs will significantly advance the capabilities of the semiconductor industry in Singapore and beyond.
Researchers at the UNC School of Medicine, UCSF, Stanford, and Harvard determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.
Noise-canceling headphones automatically identify background sounds and cancel them out for much-needed peace and quiet. However, typical noise-canceling fails to distinguish between unwanted background sounds and crucial information, leaving headphone users unaware of their surroundings.
The Information and Intelligence Group within The Grainger College of Engineering at the University of Illinois Urbana-Champaign is one of more than 200 leading AI stakeholders to help advance the development and deployment of safe, trustworthy AI under new U.S. Government safety institute.
Argonne has awarded five named postdoctoral fellowships to researchers in fields including particle physics, materials science, quantum, artificial intelligence, energy storage, and environmental science.
Unbound Medicine, a pioneer in knowledge management solutions for healthcare, announces the expansion of Unbound Intelligence (UBI), a groundbreaking union of artificial intelligence (AI) and human expertise, into its end-to-end platform.
Restoring motor control and sensation from an artificial hand in a natural way remains a scientific “holy grail.” Researchers have developed a novel biohybrid neuro-prosthetic research platform comprised of a dexterous artificial hand electrically interfaced with biological neural networks. Ultimately, this could lead to a better understanding of the complex sensation of touch, which is necessary for refined control of the hand.
An innovative new capability being developed by the Johns Hopkins Applied Physics Laboratory (APL) that combines the abilities of human medics with virtual and robotic assistants has been recognized with an honorable mention in the Rapid Response category of Fast Company’s 2024 World Changing Ideas Awards.
NAU’s Arizona Institute for Education and the Economy shared a free, downloadable document that provides guidance on teaching and learning with generative AI, developed in collaboration with teachers, parents and technology experts across the state and nation.
A collaborative NIH-funded team is using AI to mine common chest CT scans to predict mortality. Their research identified a collection of cardiac factors that were predictive of death in a large group of patients, potentially setting the stage for improved cardiac screening.
Information systems professor Kunpeng Zhang will direct a deep dive into the technical framework behind the large language model in an initiative tailored for professionals in public-facing and commercial sectors.
A team led by researchers at the Department of Energy’s Oak Ridge National Laboratory explored training strategies for one of the largest artificial intelligence models to date with help from Frontier, the world’s fastest supercomputer.
Sleep Consortium, in partnership with leading sleep-related patient advocacy organizations, the global patient community, and key industry stakeholders, is thrilled to announce the launch of the Sleep Data Collection Platform (DCP).
In a new research commentary, the Artificial Intelligence in Sleep Medicine Committee of the American Academy of Sleep Medicine highlights how artificial intelligence stands on the threshold of making monumental contributions to the field of sleep medicine.
Researchers at the Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods.
The U.S. Department of Energy’s (DOE) Aurora supercomputer has officially broken the exascale barrier. Today at the 2024 ISC High Performance conference in Hamburg, Germany, the 63rd edition of the high performance computing Top500 list announced that DOE holds the #1 and #2 positions for most powerful supercomputers in the world. The Top500’s benchmark has long been the world’s measuring stick for large scale supercomputing performance.
Understanding the human exposome — a person’s myriad health exposures over a lifetime — can reveal unknowns about diseases not explained fully by our DNA. Artificial intelligence will be indispensable in efforts to understand the role of biology and environment in disease and health.
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