In collaboration with the Thurgood Marshall College Fund, Binghamton University, State University of New York has announced a New Educational and Research Alliance (New ERA) with six historically Black colleges and universities (HBCUs): Alabama A&M University, Central State University, Tuskegee University, Prairie-View A&M University, the University of the District of Columbia and Virginia State University.
Tag: Artificial Intelligence
Could smart watches and wearable devices protect our military?
Could smart watches and wearable devices give our military the edge when it comes to protecting defence personnel against biological and chemical warfare threats?
Loneliness, insomnia linked to work with AI systems
Employees who frequently interact with artificial intelligence systems are more likely to experience loneliness that can lead to insomnia and increased after-work drinking, according to research published by the American Psychological Association.
An AI tool that could help prevent wildfires
Wildfires are becoming more common, but machine learning can help cut them short
The quest to develop fair and ethical algorithms in medical imaging
This interview with Maryellen Giger, PhD, delves into the creation of the MIDRC imaging repository, how its data can be used to develop and evaluate AI algorithms, ways that bias can be introduced—and potentially mitigated—in medical imaging models, and what the future may hold.
Digital Science boosts pharma industry support following OntoChem acquisition
Digital Science is positioning itself to play an even greater role in the pharmaceutical industry’s all-important drug discovery, by helping industry sift through a sea of information and focus on the research that matters.
ChatGPT flunks self-assessment test for urologists
At a time of growing interest in the potential role of artificial intelligence (AI) technology in medicine and healthcare, a new study finds that the groundbreaking ChatGPT chatbot performs poorly on a major specialty self-assessment tool, reports Urology Practice®, an Official Journal of the American Urological Association (AUA). The journal is published in the Lippincott portfolio by Wolters Kluwer.
How the combination of advanced ultrasound and AI could upgrade cancer diagnostics
Researchers have shown that an automated cancer diagnostic method, which pairs cutting-edge ultrasound techniques with artificial intelligence, can accurately diagnose thyroid cancer, of which there are more than 40,000 new cases every year.
Meeting Preview: Hot Topics at NUTRITION 2023
Reporters and bloggers are invited to join top nutrition experts for a dynamic program at NUTRITION 2023. The annual flagship meeting of the American Society for Nutrition runs July 22-25 at the Sheraton Boston and features research announcements, expert discussions, and more.
New superconducting diode could improve performance of quantum computers and artificial intelligence
A University of Minnesota Twin Cities-led team has developed a more energy-efficient, tunable superconducting diode—a promising component for future electronic devices—that could help scale up quantum computers for industry and improve artificial intelligence systems.
Mount Sinai Researchers Use New Deep Learning Approach to Enable Analysis of Electrocardiograms as Language
Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train. In a study published in the June 6 online issue of npj Digital Medicine DOI: 10.1038/s41746-023-00840-9, the team reported that its new deep learning model, known as HeartBEiT, forms a foundation upon which specialized diagnostic models can be created. The team noted that in comparison tests, models created using HeartBEiT surpassed established methods for ECG analysis.
June 2023 Issue of Neurosurgical Focus: “Machine Learning in Neurosurgery”
Announcement of contents of the June 2023 issue of Neurosurgical Focus
Using AI to create better, more potent medicines
While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development process.
AI makes it harder to spot deep fakes than ever before, but awareness is key, says expert
As artificial intelligence programs continue to develop and access is easier than ever, it’s making it harder to separate fact from fiction. Just this week, an AI-generated image of an explosion near the Pentagon made headlines online and even slightly impacted the stock market until it was quickly deemed a hoax.
GW Expert: How will AI change the future of shopping and searching?
This week, Microsoft co-founder Bill Gates said he sees the end of Google Search, Amazon and Shopify if artificial intelligence continues to evolve at its current pace. According to Quartz, Gates believes these tools will soon be outdated, as AI is…
New Use for A.I.: Correctly Estimating Fish Stocks
For the first time, a newly published artificial intelligence (AI) algorithm is allowing researchers to quickly and accurately estimate coastal fish stocks without ever entering the water.
AI voice coach shows promise in depression, anxiety treatment
A study led by the University of Illinois Chicago researchers found changes in patients’ brain activity along with improved depression and anxiety symptoms after using Lumen.
Computational biology superstar Sanju Sinha joins Sanford Burnham Prebys
Sanju Sinha, Ph.D., has joined Sanford Burnham Prebys as an assistant professor in the Cancer Molecular Therapeutics Program to continue his research on cancer development and drug discovery. He comes to Sanford Burnham Prebys from the Cancer Data Science Lab at the National Cancer Institute (NCI), where he trained to leverage the power of artificial intelligence to discover new drugs to prevent cancer.
AI study finds that patients with Parkinson’s disease speak differently to healthy patients
Using artificial intelligence (AI) to process natural language, a research group evaluated the characteristics of speech among patients with Parkinson’s disease (PD).
Rensselaer Researcher Uses Artificial Intelligence To Discover New Materials for Advanced Computing
A team of researchers led by Rensselaer Polytechnic Institute’s Trevor David Rhone, assistant professor in the Department of Physics, Applied Physics, and Astronomy, has identified novel van der Waals (vdW) magnets using cutting-edge tools in artificial intelligence (AI). In particular, the team identified transition metal halide vdW materials with large magnetic moments that are predicted to be chemically stable using semi-supervised learning.
Future workers will need to master AI “dark arts”
Workers of the near future have less to fear from AI than they think if they are open to learning how to use AI as a tool that extends their capabilities. Becoming a proficient user of AI “magic” will be a key skill, according to Digital Science CEO Dr Daniel Hook.
AI helps create better, simpler hepatitis, COVID-19 tests
Going beyond pregnancy and COVID-19, the world could someday soon come to rely on at-home tests for many diseases thanks in part to AI-fueled improvements.
Hey Siri, Can You Hear Me? #ASA184
At the 184th ASA Meeting, Georgia Zellou and Michelle Cohn of the University of California, Davis will describe experiments to investigate how speech and comprehension change when humans communicate with AI. They examined how people adjust their voice when communicating with an AI system compared to talking with another human and, on the listening side, how what a device sounds like impacts how well listeners will understand it.
Cedars-Sinai Establishes Center for Artificial Intelligence Research and Education
The Cedars-Sinai Department of Computational Biomedicine recently sharpened its focus on advancing artificial intelligence and machine learning by establishing the Center for Artificial Intelligence Research and Education.
The influence of AI on trust in human interaction
In one scenario, a would-be scammer, believing he is calling an elderly man, is instead connected to a computer system that communicates through pre-recorded loops.
AI in Medical Imaging Could Magnify Health Inequities, Study Finds
Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine researchers found that most did not include patient demographics and none evaluated for inherent biases. That means they have no way of knowing whether these images contain representative samples of the population such as Blacks, Asians, and Indigenous Americans.
Acoustical Society of America Press Conferences Livestreamed from Chicago, May 9 #ASA184
The 184th ASA Meeting will include three press conferences on Tuesday, May 9. The in-person presentations will also be livestreamed and recorded. Topics will focus on a wide range of newsworthy sessions, including 3D-printing head simulators, tracking immune cells with ultrasound, investigating the impact of skin color on breast cancer diagnosis, mimicking insects to create miniature microphones, and locating leaks in water networks. Reporters can register for in-person or virtual attendance.
University of Minnesota to lead $2 million federal grant to study human-centered AI for news recommender systems
The University of Minnesota Twin Cities is one of five institutions leading National Science Foundation-funded projects to support artificial intelligence research infrastructure that will help scientists better understand and study AI for applications like news recommendation systems.
Scientists develop pioneering artificial intelligence method to fight urban air pollution
99% of the world’s population breathes air that exceeds the limits recommended by the World Health Organization (WHO). This scenario is exacerbated in urban areas where more than 50% of the world’s population is concentrated.
AI-collected data could compromise childhood sleep disorder diagnoses
A dearth of paediatric data collected using artificial intelligence (AI) tools could compromise the understanding of early sleep patterns.
Research to Prevent Blindness Announces New Sight-Saving Vision Research Grants
Research to Prevent Blindness (RPB) announces two new grants to support high-impact vision research. The new grants are the: RPB / Tom Wertheimer Career Development Award in Data Science and RPB / Mary Tyler Moore Vision Initiative Physician-Scientist Award.
Environmental impact of AI and its sustainability
Artificial intelligence’s rapid growth has led to advancements like autonomous vehicles, virtual reality, and ChatGPT. But AI technologies and the training of AI models require a lot of energy, increasing concerns about the environmental impact of AI and its sustainability. To put AI’s energy usage into perspective: it took nine days to train one of OpenAI’s early model chatbots known as MegatronLM.
Acoustical Society of America Invites Media to Chicago Meeting, May 8-12
ASA will hold its 184th meeting May 8-12 in Chicago, offering in-person and hybrid sessions throughout the week. The scientific conference brings together acousticians, researchers, musicians, and more from around the world, who will describe their work on topics that include measuring the calls of Puerto Rican coqui frogs, communicating with artificial intelligence, capturing the sounds of the stratosphere, simulating sounds on other planets, and ensuring linguistic justice by considering the unique aspects of African American English. Conference highlights can be found on social media by searching the #ASA184 hashtag and reporters are invited to attend in-person and hybrid sessions at no cost.
Optimizing sepsis treatment timing with a machine learning model
A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say.
Registration Opens for Food and Nutrition Institute’s Annual Conference on Science, Regulation
A June 13-14 gathering of scientific and regulatory experts at the National Press Club
Click Away the Bias: New System to Make AI Training Easier and More Accurate
In the past few years, “AI” has become a major buzzword in technology. The prospect of a computer being able to do tasks which only a human could perform is a captivating thought indeed! AIs can be created using multiple different methods, but one of the most popular ones right now involves the use of deep neural networks (DNNs).
Dana-Farber and Gustave Roussy to hold Second Transatlantic Exchanges, a scientific Conference in Oncology
The second TransAtlantic Exchanges program between Dana-Farber Cancer Institute (Boston, MA, USA) and Gustave Roussy (Villejuif, France) will be held on May 5th in Paris and will focus on artificial intelligence (AI) and data science in oncology.
MD Anderson Research Highlights for March 29, 2023
The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention.
ORNL malware ‘vaccine’ generator licensed for Evasive.ai platform
A technology developed at Oak Ridge National Laboratory and used by the U.S. Naval Information Warfare Systems Command to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform.
Artificial intelligence predicts genetics of cancerous brain tumors in under 90 seconds
Using artificial intelligence, researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 seconds — and possibly streamline the diagnosis and treatment of gliomas, a study suggests. The newly developed system, DeepGlioma, identified mutations used by the World Health Organization to define molecular subgroups of diffuse glioma with an average accuracy over 90%.
JMIR Research Protocols | What is the Role of Human Decision-making in an AI–driven Future in Health?
Australian researchers have established a set of protocols for a research project in JMIR Research Protocols that aims to explore whether humans will continue in meaningful decision-making roles in an AI-driven future.
AI-based systems can help identify rapidly advancing age-related macular degeneration
Researchers supported by the National Eye Institute are developing artificial intelligence/machine learning (AI/ML)-based systems that not only screen for AMD but also predict which patients will likely progress to late within two years. The systems also evaluate separately one’s risk for developing late wet (neovascular) AMD from one’s risk for late dry (geographic atrophy) AMD.
Chula’s AICute Innovation – An Assessment Tool for Ischemic Stroke Risk to Reduce Disability and Death
A research team from the Faculty of Medicine and Faculty of Engineering, Chulalongkorn University has jointly developed AICute, an innovative program to assess the chances of stroke caused by heart disease (Ischemic Stroke), aimed at helping hospitals that lack cardiologists to enhance the effectiveness of stroke treatment, reduce congestion in hospitals and medical schools.
JMIR Medical Education Launches Special Issue on the Use of ChatGPT in Medical Education, After New Study Finds ChatGPT Passes the United States Medical Licensing Examination
A study published on February 8, 2023, in JMIR Medical Education, a leading open access journal on digital medical education, evaluated the potential of ChatGPT, a natural language processing model, as a medical education tool. The study found that ChatGPT reaches the equivalent of a passing score for a third-year medical student.
Expert Available on Artificial Intelligence, ChatGPT
Rensselaer Polytechnic Institute’s James Hendler is the Director of the Future of Computing Institute; Tetherless World Professor of Computer, Web and Cognitive Sciences; and Director of the RPI-IBM Artificial Intelligence Research Collaboration. “In a nutshell, ChatGPT creates something not dissimilar…
Rutgers Researchers Use Artificial Intelligence to Predict Cardiovascular Disease
According to a new study from Rutgers Institute for Health, researchers may be able to predict cardiovascular disease in patients by using artificial intelligence to examine the genes in their DNA.
Let’s get wasted and apply some deep thinking to rubbish
Artificial intelligence has made a giant leap into our rubbish bins, with smart bin sensors now providing useful information that can be fed into a neural model, helping authorities to make waste collection more efficient, sustainable, and healthier.
Technical adequacy of artificial intelligence body composition assessed in external CT
According to an accepted manuscript published in ARRS’ American Journal of Roentgenology (AJR), certain reasons for AI tool failure relating to technical factors may be largely preventable through proper acquisition and reconstruction protocols.
Argonne training program introduces AI for science to a new crowd
The Intro to AI-Driven Science on Supercomputers training series gives students hands-on experience using the Lab’s high performance computing resources.
Do the math: ChatGPT sometimes can’t, expert says.
ASU Associate Professor Paulo Shakarian details results of a study in which he tested ChatGPT on 1,000 mathematical word problems. He’s not sold on its reasoning ability.