A new study introduces the Topological Tail Dependence Theory, merging topology with finance. Empirical tests confirm that this novel theory significantly enhances the accuracy of non-linear and neural network models in forecasting stock market volatility during turbulent periods, offering a promising new approach for financial forecasting.
A team of Dr. Hyekyoung Choi and Min Ju Yun of Energy Conversion Materials Research Center, Korea Electrotechnology Research Institute (KERI) has developed a technology that can increase the flexibility and efficiency of thermoelectric generator to the world's highest level by using 'mechanical metamaterials' that do not exist in nature.
Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs. Using 700 years’ worth of wave data from more than a billion waves, scientists at the University of Copenhagen and University of Victoria have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. The new knowledge can make shipping safer.
The emergence of artificial intelligence has caused differing reactions from tech leaders, politicians and the public. While some excitedly tout AI technology such as ChatGPT as an advantageous tool with the potential to transform society, others are alarmed that any tool with the word “intelligent” in its name also has the potential to overtake humankind.
Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are.
Dr. Bryan L Mesmer, an associate professor and researcher at the University of Alabama in Huntsville’s College of Engineering, will be teaming up with academics, other researchers and postgraduate science and technology students from four countries on a $1.26 million project supported by the North Atlantic Treaty Organization (NATO) Science for Peace and Security (SPS) Programme to develop pioneering solutions for disaster relief using multi-agent drone systems.
While artificial intelligence tools offer great potential for improving health care delivery, practitioners and scientists warn of their risk for perpetuating racial inequities. Published Friday in the Nature journal Digital Medicine, the paper is the first to evaluate fairness among these tools in connection to a women’s health issue.
In 2021, a water treatment facility in Oldsmar, Florida, was hacked by an unknown adversary. It was a cyberattack, and the sensor responsible for measuring how much sodium hydroxide is in the water was compromised. Within seconds, the hacker attempted to change the water supply's levels of sodium hydroxide, moving the setting from 100 parts per million to 11,100 parts per million.
Researchers propose a new framework to evaluate AI reasoning abilities, moving beyond the Turing test's focus on mimicry and towards a deeper understanding of machine cognition.
Cambridge researchers created an artificial system that mimics the human brain and found that applying physical constraints to the system led to the development of features similar to those found in human brains.
Input from humans helps when deciding whether to trust the recommendations and decisions of a machine-learning system.
Researchers use deep learning to predict dam water levels and understand decision-making processes, potentially averting future flooding.
Argonne National Laboratory to partner with minority-serving institutions to mentor students in artificial intelligence research as part of DOE’s effort to advance diversity in STEM.
NYC Media Lab (NYCML) and Bertelsmann unveiled the latest cohort joining the AI & the Creative Industries Challenge, a nine-week program in which teams explore new ways to use artificial intelligence (AI) to create digital content and reach new audiences for three Bertelsmann companies: Fremantle, Penguin Random House, and BMG.
In the background of image recognition software that can ID our friends on social media and wildflowers in our yard are neural networks, a type of artificial intelligence inspired by how own our brains process data.
Using artificial intelligence tools to analyze years of biomedical data, researchers at Rensselaer Polytechnic Institute have discovered a possible connection between sleep, gastrointestinal health, and two potentially harmful behaviors often associated with profound autism: self-injury and aggression. Their study is published in the Journal of Personalized Medicine.
Researchers from UC San Diego have developed an easily-implemented toolkit for genomics researchers that simplifies the process of analyzing data with deep learning, a type of artificial intelligence capable of improving itself with limited user input.
The Biden Administration’s recent Executive Order on AI meets a perceivable growing consensus in both the tech industry and academia for a need for clear federal guidance in AI, especially with the looming 2024 elections.
Investigators from the UCLA Health Jonsson Comprehensive Cancer Center have developed an artificial intelligence (AI) model based on epigenetic factors that is able to predict patient outcomes successfully across multiple cancer types.
Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands.
McWilliams School of Biomedical Informatics at UTHealth Houston reached a funding landmark with 15 faculty members awarded 16 different grants totaling more than $31 million between August and October 2023. Each grant has a focus on medical artificial intelligence (AI) innovations and advancements in research or health care.
A new Columbia Nursing study reveals the importance of integrating patient-nurse verbal communication data into patient risk identification models for home health care.
Researchers develop deep learning AI tool that generates life-like birdsongs to train bird identification tools. This helps ecologists monitor rare species in the wild.
A team of scientists from Jefferson Lab and the University of Virginia have turned to machine learning in the quest to streamline beam tuning on the Continuous Electron Beam Accelerator Facility – and reduce accelerator downtime.
The world’s total population is expected to reach 9.9 billion by 2050. This rapid increase in population is boosting the demand for agriculture to cater for the increased demand. Below are some of the latest research and features on agriculture and farming in the Agriculture channel on Newswise.
Now that ChatGPT has revealed connections in meaning that can emerge from the simple premise of predicting the next word, a team of researchers led by the University of Michigan aims to do the same for atoms strung together to build molecules.
The team that built Frontier set out to break the exascale barrier, but the supercomputer’s record-breaking didn’t stop there.“The exascale number marks a major milestone itself, but it also marks the beginning of a new chapter in high-speed computing,” said Feiyi Wang, an Oak Ridge National Laboratory computer scientist who leads research into artificial intelligence and analytics.
In the eighth annual The State of Open Data report released today, almost three quarters of surveyed researchers overwhelmingly said they are still not getting the support they need to share their data openly. Such data highlights the increased need for greater community collaboration and tools to support researchers in the move to sustainable open science practices.
Khaled Abdelghany, a professor of civil and environmental engineering at SMU (Southern Methodist University), has been awarded a three-year, $1.2 million grant by the Federal Highway Administration. The grant aims to develop a computer program that utilizes artificial intelligence to enhance the safety and efficiency of intersections for both vehicles and pedestrians.
A new AI technique could guide real-time GBM treatment. Researchers are using MRI-guided radiation therapy that pairs daily MRIs with radiation treatment -- automatically tracing tumors in large MRI datasets.
AI-generated white faces are now perceived as more real than human faces, but not AI-generated faces of people of color. This is because AI algorithms are trained on disproportionately white faces.
A new international consortium brings together teams of researchers to create trustworthy and reliable generative AI models to address critical scientific and engineering challenges.
The use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.
Jefferson Lab and Old Dominion University are launching a unique joint institute that will leverage the lab’s specialties in data science and computing in an effort to tackle the most pressing problems and disparities at the intersection of health and the environment in Hampton Roads.
A team led by researchers at the University of Washington has developed deep-learning algorithms that let users pick which sounds filter through their headphones in real time. Either through voice commands or a smartphone app, headphone wearers can select which sounds they want to include from 20 classes, such as sirens, baby cries, speech, vacuum cleaners and bird chirps.
Scientists at Oak Ridge National Laboratory used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
A variation of sonar technology – in miniature form, developed by Cornell University researchers – is proving a game-changer in wearable body-sensing technology.
n a new study being presented at this year’s ACAAI Annual Scientific Meeting in Anaheim, Calif., ChatGPT was asked to rate 10 common allergy myths, and it judged their accuracy correctly 91% of the time.
Yong-Lak Park, professor of entomology at the West Virginia University Davis College of Agriculture, Natural Resources and Design, is researching the efficacy of dropping natural enemy insects on invasive plants using drone technology and artificial intelligence as a means of destroying these plants more efficiently.
Vanderbilt University Medical Center (VUMC) and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation for the project “Measuring Artificial Intelligence (AI) Maturity in Healthcare Organizations.”
FINDINGS GPT-4 conversational artificial intelligence (AI) has the ability to diagnose and triage health conditions comparable to that provided by board certified physicians, and its performance does not vary by patient race and ethnicity. BACKGROUND While GPT-4, a conversational artificial intelligence, “learns” from information on the internet, the accuracy of this form of AI for diagnosis and triage, and whether AI’s recommendations include racial and ethnic biases possibly gleaned from that information, have not been investigated even as the technology’s use in health care settings has grown in recent years.
Marketing Association of Thailand, in partnership with Asia Marketing Federation, is delighted to present the prestigious "3rd World Marketing Forum."
University of Houston researchers use machine learning and SHAP analysis to pinpoint air pollution sources
AI analysis shows pollution levels, extreme weather events and increasing temperatures devastates biodiversity in freshwater lakes.
Technology is edging closer and closer to the super-speed world of computing with artificial intelligence. But is the world equipped with the proper hardware to be able to handle the workload of new AI technological breakthroughs?
Rakuten Medical, Inc., a global biotechnology company developing and commercializing precision, cell-targeted therapies based on its proprietary Alluminox™ platform today announced the presentation of two posters of AI-based analyses at the 38th Annual Meeting of the Society for Immunotherapy of Cancer (SITC), held November 3-5, 2023, in San Diego, CA (SITC 2023).
Argonne scientists recognized for use of exascale computing tools to achieve high-fidelity simulations of advanced nuclear reactor systems and high-resolution simulations that reduce uncertainty in climate model predictions.
A hardware accelerator initially developed for artificial intelligence operations successfully speeds up the alignment of protein and DNA molecules, making the process up to 10 times faster than state-of-the-art methods.
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