Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used robots and artificial intelligence to dramatically speed up data collection and analysis in X-ray studies of liquids.
Researchers at Washington University School of Medicine in St. Louis and Whiterabbit.ai showed that AI assistance potentially could improve breast-cancer screening by reducing the number of false positives without missing true positives.
Edgeworks, a new research and service facility launched by the Johnny Carson Center for Emerging Media Arts at the University of Nebraska–Lincoln, is helping scientists, inventors and entrepreneurs transform cutting-edge concepts into game-changing reality.
Researchers have created a software tool that searches for and summarizes content of microscopy images from the scientific literature. These qualities make it a versatile solution for use in a wide range of materials research projects.
The American Association of Neurological Surgeons (AANS) proudly announces the highly anticipated 2024 AANS Annual Scientific Meeting, slated for May 3-6 at the prestigious McCormick Place Convention Center in Chicago.
Researchers have developed an automated workflow that could accelerate the discovery of new pharmaceutical drugs and other useful products. The new approach could enable real-time reaction analysis and identify new chemical-reaction products much faster than current laboratory methods.
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of Department of Energy scientists led by Oak Ridge National Laboratory.
A new study published April 4 in Cancer Cell was led by Yale Cancer Center researchers, who collaborated with investigators nationally to differentiate the molecular subgroups of RCC tumors to better understand how their makeup might affect treatment responses.
Researchers at the University of South Australia are co-designing a chatbot to help formerly incarcerated women re-establish their lives on the outside, and reduce the risk of them returning to prison.
The world of work is a work in progress. Hybrid work arrangements, emerging AI tools, ongoing layoffs, and an increasingly diverse pool of workers who want a voice and a sense of belonging at work—managers have a lot on their plates.
Experts from the Smidt Heart Institute at Cedars-Sinai will share new research and participate in more than 70 discussions during the American College of Cardiology (ACC) Annual Scientific Session April 6-8 in Atlanta.
This study, led by investigators in the Smidt Heart Institute at Cedars-Sinai, applies novel artificial intelligence (AI) methods to measure heart function.
eXeX, a leader in artificial intelligence enhanced surgical logistics software, has achieved a world first by successfully utilizing the Apple Vision Pro in organizing and managing a Reverse Total Shoulder Arthroplasty.
Optical neural networks (ONNs) have drawn much attention in recent years due to their high bandwidth and low heat generation. In order to further enhance the computational power of ONNs, scientists in China introduce optical correlation to ONNs and propose a new type of optical convolutional neural network which can show “quantum speedup”.
Moffitt Cancer Center announced today a collaboration with NVIDIA, Oracle and Deloitte* on an initiative aimed at revolutionizing cancer care delivery through advanced artificial intelligence and machine learning technologies.
A study conducted in University Hospitals of Leicester NHS Trust explored the potential of artificial intelligence (AI) in predicting the risk of lethal heart rhythm disturbances, known as ventricular arrhythmias (VA).
The seven funded projects range from an investigation of the potential benefits of virtual reality-based “nature” experiences for hospital patients, to tools that allow scientists to make full use of huge databases of biomedical information.
ChatGPT-4, an artificial intelligence program designed to understand and generate human-like text, outperformed internal medicine residents and attending physicians at two academic medical centers at processing medical data and demonstrating clinical reasoning. In a research letter published in JAMA Internal Medicine, physician-scientists at Beth Israel Deaconess Medical Center (BIDMC) compared a large language model’s (LLM) reasoning abilities directly against human performance using standards developed to assess physicians.
A new study tracked 10 years of data to capture shifts in how corporate interests and the public discussed a complex legal situation – and how those dynamics related to stock price. The bottom line? When the company took an aggressive stance, its stock price dropped.
The Speech Accessibility Project, which aims to train voice recognition technologies to understand people with diverse speech patterns and disabilities, is recruiting U.S. and Puerto Rican adults with cerebral palsy.
As researchers explore potential applications for AI, they have found scenarios where AI could be really useful but there’s not enough data to accurately train the algorithms. Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues.
In a survey of more than 200 U.S. oncologists, vast majority indicate that oncologists should be able to explain how AI works to their patients. Respondents say AI developers, more than oncologists or hospitals, have responsibility for legal issues arising from AI use in cancer care.
Un nuevo estudio de Mayo Clinic constató que la gente socialmente aislada tiene más probabilidad de presentar signos de que sea biologicamente más vieja que su verdadera edad y más probabilidad de morir por una variedad de causas.
The Korea Institute of Fusion Energy(KFE) announced that it successfully sustained the plasma with ion temperatures of 100 million degrees Celsius for 48 seconds during the last KSTAR plasma campaign run from December 2023 to February 2024. Additionally, it achieved the high confinement mode(H-mode) for over 100 seconds.
Artificial intelligence (AI) may serve as a future tool for neurologists to help locate where in the brain a stroke occurred. In a new study, AI processed text from health histories and neurologic examinations to locate lesions in the brain. The study, which looked specifically at the large language model called generative pre-trained transformer 4 (GPT-4), is published in the March 27, 2024, online issue of Neurology® Clinical Practice, an official journal of the American Academy of Neurology.
The UK Department for Science, Innovation and Technology (DSIT), through the UK Research and Innovation (UKRI) Infrastructure Fund, has announced its commitment to support UK personnel involved in research, development, and major equipment contributions towards the Electron-Ion Collider (EIC).
AI tools may outperform human doctors in predicting some medical outcomes, accounting for patients’ unique circumstances while reducing costs for those who don’t need specialized care. What are the risks of using AI to help make medical decisions—and are they worse than the risks we already face?
Bloomberg L.P. co-founder and Binghamton University alumnus Tom Secunda ’76, MA ’79 today announced a landmark $5 million donation to Binghamton University to attract, recruit and retain tech talent, creating a pipeline for students to participate in the artificial intelligence economy of the future.
Registration is open for what promises to be an exciting scientific program with important technical updates for those curious about science in the food and beverage sector.
Muitas vezes, o primeiro sinal de uma doença cardiovascular pode ser um evento importante como um ataque cardíaco, um acidente vascular cerebral ou uma parada cardíaca. Hoje, pesquisadores e médicos da Mayo Clinic estão utilizando a tecnologia da inteligência artificial (IA) para sinalizar problemas cardíacos precocemente, aumentando as capacidades de um teste de diagnóstico que existe há mais de um século — o eletrocardiograma (ECG).
A menudo, el primer signo de una enfermedad cardiovascular puede ser un evento importante como un ataque cardíaco, un derrame cerebral o un paro cardíaco. Hoy, investigadores y médicos de Mayo Clinic están utilizando la tecnología de inteligencia artificial (IA) para señalar los problemas cardíacos temprano, aumentando las capacidades de una prueba de diagnóstico que ha existido durante más de un siglo — el electrocardiograma (ECG o EKG).
Community Health Network, a leading provider of healthcare services in the state of Indiana, has announced an exciting partnership with Ferrum Health, a pioneer in healthcare artificial intelligence solutions aimed at enhancing patient care and outcomes through cutting-edge technology.
في الغالب، تكون أول علامة على وجود مرض في القلب والأوعية الدموية هي حدوث جلطة قلبية أو سكتة دماغية أو قلبية. في الوقت الحالي، يستخدم الباحثون والأطباء في مايو كلينك تقنية الذكاء الاصطناعي (AI) للتنبيه بوجود مشاكل قلبية في وقت مبكر، مما يعزز قدرات الفحص التشخيصي المعروف منذ أكثر من قرن - جهاز تخطيط كهربائية القلب (ECG).
From fortifying supply chain resilience against global disruptions and enhancing safety and resilience of energy systems to intelligent urban transport systems, personalised services and healthcare revolution – artificial intelligence (AI) is emerging as a force with the capacity to transform facets of our daily living and the society.
Leading computer scientists from around the world have shared their vision for the future of artificial intelligence – and it resembles the capabilities of Star Trek character 'The Borg'.
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Rapid moving advances in artificial intelligence have stirred controversy and debate, but they have all raised enticing prospects for supercharged technological innovation. Researchers at Virginia Tech who are exploring these frontiers can offer previews of the potential positive developments that could derive from AI.
A new AI model developed at PNNL can identify patterns in electron microscope images of materials without requiring human intervention, allowing for more accurate and consistent materials science.
A new study co-led by Georgia Institute of Technology's Anna (Anya) Ivanova uncovers the relationship between language and thought in artificial intelligence models like ChatGPT, leveraging cognitive neuroscience research on the human brain. The results are a roadmap to developing new AIs — and to better understanding how we think and communicate.
An artificial intelligence tool West Virginia University health data scientists are developing could lessen medication errors that send recently discharged patients back to the hospital while reducing health care costs.
From artificial intelligence (AI) and data integration to natural language processing and statistics, the Cedars-Sinai Department of Computational Biomedicine is utilizing the latest technological advances to find solutions to some of the most complex healthcare issues.
UT Southwestern Medical Center has joined more than a dozen leading medical centers and Microsoft to form the Trustworthy & Responsible AI Network (TRAIN), a national group designed to set standards and safely explore applications of artificial intelligence (AI) in health care.