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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.

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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.

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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.

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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.

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Argonne has awarded five named postdoctoral fellowships to researchers in fields including particle physics, materials science, quantum, artificial intelligence, energy storage, and environmental science.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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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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Argonne’s Aurora system has officially entered the exascale era with its latest submission to the Top500 list of the world’s most powerful supercomputers.

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Actually, sometimes consumers don’t want to talk to a real person when they’re shopping online, a new study suggests. In fact, what they really want is a chatbot that makes it clear that it is not human at all.

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New research suggests that people perform better if they think they have an AI assistant – even when they’ve been told it’s unreliable and won’t help them.

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Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

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In a major breakthrough for the field of artificial intelligence (AI), researchers have developed a new class of organic semiconductors with narrow bandgaps that greatly improve the performance of infrared (IR) photodetectors and image arrays.

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Cedars-Sinai investigators are using artificial intelligence (AI) to reduce serious health risks associated with pregnancy and childbirth and improve screening for some gynecological cancers.

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Sylvester Comprehensive Cancer Center today announced establishment of the Sylvester Brain Tumor Institute. It will focus on personalized medicine approaches for treating all patients with brain tumors.

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A study that used artificial intelligence (AI) and social media posts to assess the rates of depression and anxiety in nearly half of American counties found that the AI-generated measurements produced more reliable assessments than population surveys. The findings are published in Nature Digital Medicine.

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The May issue of The American Journal of Gastroenterology highlights new clinical science and reviews on hepatic encephalopathy management using a smartphone app’s artificial intelligence, cyclic vomiting syndrome prevalence and incidence, alcohol-associated liver disease and alcohol use disorder in young women, and polypectomy technique.

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Rensselaer Polytechnic Institute (RPI) today announced two special honorands for its Bicentennial Commencement celebrations. Astronaut and Artemis II Commander Reid Wiseman ’97 will return to RPI as the Bicentennial Commencement Speaker, and Emily Warren Roebling, who led the construction of the Brooklyn Bridge to completion, will receive a posthumous honorary degree, the first to be awarded in the history of RPI.

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ChatGPT, the artificial intelligence (AI) chatbot designed to assist with language-based tasks, can effectively extract data for research purposes from physicians' clinical notes, UT Southwestern Medical Center researchers report in a new study. Their findings, published in NPJ Digital Medicine, could significantly accelerate clinical research and lead to new innovations in computerized clinical decision-making aids.

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In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving Lawrence Livermore National Laboratory researchers has successfully combined an artificial intelligence-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromised by viral evolution. The work was published in the journal Nature.

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Using artificial intelligence, Ludwig Cancer Research scientists have developed a powerful predictive model for identifying the most potent cancer killing immune cells for use in cancer immunotherapies.

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The Korea Institute of Science and Technology (KIST) announced that Dr. Sang Soo, Han and Dr. Donghun, Kim of the Computational Science Research Center and Professor Kwan-Young Lee of the Department of Chemical Engineering and Biotechnology at Korea University (President Kim Dong-won) have developed a bespoke synthesis platform of nanomaterials using AI and robotics, called Smart Lab.

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An artificial intelligence (AI) program developed by investigators in the Smidt Heart Institute and their Cedars-Sinai colleagues can detect a type of abnormal heart rhythm that can go unnoticed during medical appointments, according to a new study.

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A team led by Iowa State researchers is one of the first recipients of advanced computing support from the new National Artificial Intelligence Research Resource Pilot. The team will use one million "node hours" on a supercomputer to develop large, vision-based artificial intelligence tools to identify agricultural pests.

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Memorial Sloan Kettering Cancer Center (MSK) today announced an innovative set of initiatives to support underserved communities in New York City who lack access to cancer screening and early detection. With critical support from longtime MSK Board Member Bruce Ratner, the Ratner Early Detection Initiative (REDI) draws from MSK’s deep experience in cancer science and discovery, community engagement, and compassionate patient care.

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Researchers from University of California San Diego have developed a new AI tool to that generate new drug candidates for cancer, which could help streamline the typically laborious drug discovery process.

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A research and teaching initiative from the University of Maryland’s business school will bolster AI-enabled design and governance frameworks for businesses and policymakers.

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The artificial intelligence (AI) chatbot called ChatGPT is a powerful way for Black women to educate themselves about HIV prevention, as it provides reliable and culturally sensitive information, according to a study in The Journal of the Association of Nurses in AIDS Care (JANAC), the official journal of the Association of Nurses in AIDS Care.

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The newly established department will focus on three key areas: biomaterials and tissue engineering; smart health systems; and bio-robotics.

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Four proposed state-of-the art image search engines for automating search and retrieval of digital histopathology slides were found to be of inadequate performance for routine clinical care. Some had less than 50% accuracy, which is not suitable for clinical practice.

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Physician-scientists from the Department of Urology at Cedars-Sinai will be attending the American Urological Association (AUA) Annual Meeting May 3-6 in San Antonio, Texas, and are available to discuss the latest research and innovations in urological care.

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Executive education, an interdisciplinary focus, and global visibility will be among the top priorities for new dean Paul A. Pavlou, an AI and data science specialist who aims to propel the University of Miami Patti and Allan Herbert Business School forward.

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Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions. The roadmap was recently published in the journal Nature Reviews Chemistry.

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Scientists have designed a new artificial intelligence model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease.

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Event at National Press Club features nutrition, food safety scientists and leaders addressing major issues with a research and regulatory lens.

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Artificial intelligence experts at Cedars-Sinai and the Smidt Heart Institute created a dataset with more than 1 million echocardiograms, or cardiac ultrasound videos, and their corresponding clinical interpretations. Using this database, they created EchoCLIP, a powerful machine learning algorithm that can “interpret” echocardiogram images and assess key findings.

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A roundup of the latest medical discoveries and faculty news at Cedars-Sinai for April 2024.