Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion

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.

Women’s Health Month: Artificial Intelligence Can Improve OB-GYN Care

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.

National AI Research Resource Pilot Awards First Round Access to 35 Projects in Partnership with DOE

The U.S. Department of Energy (DOE) and the U.S. National Science Foundation (NSF) are thrilled to announce the first 35 projects that will be supported with computational time through the National Artificial Intelligence Research Resource (NAIRR) Pilot, marking a significant milestone in fostering responsible AI research across the nation.

Researchers win AI grant to develop tool to help farmers identify pests, protect crops

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.

ChatGPT can be helpful for Black women’s self-education about HIV, PrEP

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.

AI Algorithms Can Determine How Well Newborns Nurse, Study Shows

A modified pacifier and AI algorithms to analyze the data it produces could determine if newborns are learning the proper mechanics of nursing, a recent study shows. Specifically, the researchers from the University of California San Diego measured if babies are generating enough suckling strength to breastfeed and whether they are suckling in a regular pattern based on eight independent parameters.

Sweet potato quality analysis is enhanced with hyperspectral imaging and AI

Sweet potato quality assessment is crucial for producers and processors because features influence texture and taste, consumer preferences, and viability for different purposes. A new study from the University of Illinois Urbana-Champaign explores the use of hyperspectral imaging and explainable artificial intelligence (AI) to assess sweet potato attributes.

Artificial Intelligence Can Evaluate Cardiovascular Risk During CT Scan

A recent study designed and implemented by investigators at Cedars-Sinai found that artificial intelligence (AI) can accurately evaluate cardiovascular risk during a routine chest computed tomography (CT) scan without contrast.

metaphacts and Dimensions launch the Dimensions Knowledge Graph, powered by metaphactory

Digital Science solutions metaphacts and Dimensions announce the launch of the Dimensions Knowledge Graph, a large ready-made knowledge graph powering AI solutions in the pharmaceutical and life sciences industries.

NCCN 2024 Annual Conference Shares Cancer Care Updates for Practical, Immediate Use in Practice

More than 1,700 oncology professionals attended National Comprehensive Cancer Network meeting in Orlando and online, featuring clinical and administrative updates for improving cancer care worldwide, plenary sessions on Lynch syndrome and drug shortages, plus nearly 200 poster abstracts with new research.

Cedars-Sinai Joins 40 Health Systems in White House Effort on AI

Cedars-Sinai has joined a White House initiative aimed at ensuring healthcare providers and companies use artificial intelligence (AI) ethically and responsibly. Together with the U.S. Department of Health and Human Services, the AI effort—announced in late 2023—is a consortium involving nearly 40 health systems and insurers.

How Scientists Are Accelerating Chemistry Discoveries With Automation

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.

Chatbot outperformed physicians in clinical reasoning in head-to-head study

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.

Marketing and legal experts caution seeing is not believing with everything online

Two West Virginia University experts with extensive knowledge of deepfakes and AI-assisted technologies are sounding the alarm about their prevalence in our daily lives at a time when headlines about potential AI-generated photos and videos, and questions by the public about what’s…

Binghamton University set to receive $5 million landmark gift to pursue AI research and development

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.

Researchers Reveal Roadmap for AI Innovation in Brain and Language Learning

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.

The Time Is Now for Artificial Intelligence, Machine Learning

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.

Working Towards Toxic-Free AI

Unlike existing work, which relies on training data from social media examples, a new benchmark, named ToxicChat, is based on examples gathered from real-world interactions between users and an AI-powered chatbot. ToxicChat is able to weed out queries that use seemingly harmless language but are actually harmful, which would pass muster with most current models.

New Studies: AI Captures Electrocardiogram Patterns That Could Signal a Future Sudden Cardiac Arrest

Two new studies by Cedars-Sinai investigators support using artificial intelligence (AI) to predict sudden cardiac arrest—a health emergency that in 90% of cases leads to death within minutes.

Spotlight on early detection of 3 heart diseases using ECG-AI

Too often, the first sign of cardiovascular disease may be a major event like a heart attack, stroke or cardiac arrest. Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century — the electrocardiogram (ECG).

U of T-led study finds positive support from parents and clinicians for pediatric cancer pain management app

A recent study led by Assistant Professor Lindsay Jibb of the Lawrence Bloomberg Faculty of Nursing and Scientist at The Hospital for Sick Children (SickKids) found that parents of young children with cancer, along with pediatric cancer clinicians are in favour of an app-based solution that Jibb and her team are creating, to help parents manage their child’s cancer pain at home.

Shuffling the deck for privacy

By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals