Artificial Intelligence News Source

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Dr. Hyang-Tag Lim's research team at the KIST has implemented a quantum computing algorithm that can estimate interatomic bond distances and ground state energies with chemical accuracy using fewer resources than conventional methods, and has succeeded in performing accurate calculations without the need for additional quantum error mitigation techniques.

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Algorithms that can detect subtle changes in a person’s voice are emerging as a potential new diagnostic tool for Parkinson’s disease, according to researchers from Iraq and Australia.

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University of Washington researchers developed a system for detecting subtle biases in AI models. They found seven of the eight popular AI models they tested in conversations around race and caste generated significant amounts of biased text in interactions — particularly when discussing caste. Open-source models fared far worse than two proprietary ChatGPT models.

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The recent boom in artificial intelligence technology, such as ChatGPT, has raised many questions about the real potential of these tools in the business world. In a new paper, Felipe Csaszar, professor of strategy, explores several ways AI can be used to make critical strategic decisions.

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Alessandro Vasciaveo, PhD, joined Sanford Burnham Prebys as an assistant professor in computational biology and artificial intelligence in fall 2024. He uses his training and experience as a scientist and engineer to advance knowledge of human biology through research, and to identify novel treatments and cures for diseases.

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Developed by AI and data scientist Professor Georgina Cosma and human factors and complex systems expert Professor Patrick Waterson, the tool analyses maternity incident reports to highlight key human factors – such as communication, teamwork, and decision-making – that may have impacted care outcomes, providing insights into areas that could benefit from additional support.

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In this week’s Physics of Fluids, researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on supercomputers incorporating mountains of observational data, and they still often result in inaccurate or incomplete predictions. In contrast, the author’s machine learning algorithm is equipped with atmospheric physics equations that can produce more accurate results faster and with less data.

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A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence (AI) method to make launching cancer clinical trials easier and faster.

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The HPE Cray EX supercomputing system reported new highs for problem-solving speeds this week. The score earned Frontier the No. 2 spot on the November 2024 TOP500 list.

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Parkinson’s research, a genetic commonality among very different species that learn how to vocalize, an AI-based water treatment training simulator, and a national AI collaboration underlie four annual HPCwire Awards won by PSC this year.

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UW assistant professor Sheng Wang discusses BiomedParse, an AI medical image analysis model that works across nine types of medical images to better predict systemic diseases. Medical professionals can load images into the system and ask the AI tool questions about them in plain English.

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Researchers at Washington University School of Medicine in St. Louis have used AI tools to describe three sub-types of Chiari type-1 malformation, which will help guide clinicians to make the most effective treatment decisions for their patients. Chiari type-1 malformation is a condition in which the cerebellum extends beyond the gap in the skull where it connects to the spinal cord.

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Consumer behavior researcher weighs in on why people have reacted negatively to the brand's 2024 holiday ads.

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Banks of computer screens stacked two and three high line the walls. The screens are covered with numbers and graphs that are unintelligible to an untrained eye. But they tell a story to the operators staffing the particle accelerator control room. The numbers describe how the accelerator is speeding up tiny particles to smash into targets or other particles.

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Study in the Journal of Medical Internet Research introduces the EDAI framework to integrate equity, diversity, and inclusion in AI for health and oral health care.

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A study by researchers at the Icahn School of Medicine at Mount Sinai has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost efficiency and performance. The findings, published in the November 18 online issue of npj Digital Medicine, provide insights into how health systems can leverage advanced AI tools to automate tasks efficiently, saving time and reducing operational costs while ensuring these models remain reliable even under high task loads.

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As scientists across every field grapple with what AI will mean for their work, physician scientist Michael Halassa, an associate professor of neuroscience at Tufts University School of Medicine, is focused on how it could transform the study of cognitive processing, mental illness, and psychiatric medicine.