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UrduScientists elaborated algorithm that much better detects epilepsy on EEG recordings, than other automated methods. To achieve this, authors combined two approaches to analysis of signals of brain activity – classifier, that doesn’t require education, and trainable neural network. The project will enable to automate analysis of EEG and so simplify the process of detecting of epilepsy. Results of the research, supported by the grant of Presidential program of Russian Scientific Foundation, are published in the magazine IEEE Access.
Tag: Algorithm
New tool detects fake, AI-produced scientific articles
A team including faculty at Binghamton University, State University of New York has created a machine-learning algorithm that can detect up to 94% of bogus academic papers — nearly twice as successfully as more common data-mining techniques.
Say ‘aah’ and get a diagnosis on the spot: is this the future of health?
A computer algorithm has achieved a 98% accuracy in predicting different diseases by analysing the colour of the human tongue.
Decoding consumer hearts: advanced algorithms enhance brand loyalty
A new study introduces a user preference mining algorithm that leverages data mining and social behavior analysis to bolster brand building efforts. This innovative approach aims to assist small and medium-sized enterprises (SMEs) in understanding and engaging with their consumer base more effectively.
Advanced DeepLabv3+ Algorithm Enhances Safflower Filament Harvesting with High Accuracy
A research team has developed an improved DeepLabv3+ algorithm for accurately detecting and localizing safflower filament picking points.
How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability
Abstract Despite the advancement of algorithm-based AI transforming business and society, there is growing evidence of service failures caused by algorithmic mistakes. Due to the “black box” nature of algorithmic decisions, consumers are frustrated not only by the mistakes themselves…
‘Fit2Drive’ Transforms Assessing Older Drivers with Cognitive Decline
With the help of an evidence-based calculator called “Fit2Drive,” researchers have made it easy to administer and evaluate an in-office test to predict an older individual’s probability of passing an on-road driving test. Based upon brief, easily administered cognitive tests, Fit2Drive provides an objective estimation of the ability to drive for those with cognitive concerns. Results show that the Fit2Drive algorithm demonstrated a strong 91.5% predictive accuracy.
Algorithm Improves Blood Sugar Control in Hospitalized Patients
Hospitalized patients with complex dietary restrictions often develop hyperglycemia (high blood sugar), leading to serious complications particularly in those with preexisting diabetes. UCSF endocrinologist Robert J. Rushakoff, MD, and his team developed a self-adjusting subcutaneous insulin algorithm (SQIA) for automatically adjusted dosing.
FAU CA-AI Research Highlighted in ‘Nature Reviews’
Equipped with a breakthrough algorithmic solution, researchers have “cracked the code” on interference when machines need to talk with each other – and people. Their method, which is a first, dynamically fine-tunes multiple-input multiple-output (MIMO) links, a cornerstone of modern-day wireless systems such as Wi-Fi and cellular networks.
To hire the right job candidate, humans and machines should clear up this simple miscommunication
Hiring teams need to teach machine learning algorithms how hiring works to find the best candidates.
Next-gen satellites: a leap in autonomous timekeeping with LSTM algorithm
A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping capabilities of next-generation navigation satellites, ensuring more stable and precise space-based time scales. The research addresses critical challenges in satellite navigation by improving long-term clock error predictions.
The AI paradox: Building creativity to protect against AI
A new machine-learning model developed by the University of South Australia is providing teachers with access to high-quality, fit-for-purpose creativity tests, that can score assessments in a fraction of the time and a fraction of the cost.
Building a Better Sarcasm Detector #ASA186
Sarcasm is notoriously tricky to convey through text, and the subtle changes in tone that convey sarcasm often confuse computer algorithms as well, limiting virtual assistants and content analysis tools.
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.
AI May Help Physicians Detect Abnormal Heart Rhythms Earlier
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.
ADLM releases guidance to help healthcare professionals navigate respiratory virus testing in a post-COVID world
The Association for Diagnostics & Laboratory Medicine (ADLM, formerly AACC) has issued a new guidance document that provides expert recommendations on fundamental areas of clinical testing for respiratory viral infections. As respiratory virus testing continues to evolve rapidly in the wake of the COVID-19 pandemic, this guidance aims to ensure that patients benefit fully from emerging technologies in this field.
Scientists harness the wind as a tool to move objects
Researchers have developed a technique to move objects around with a jet of wind. The new approach makes it possible to manipulate objects at a distance and could be integrated into robots to give machines ethereal fingers.
Q&A: How to train AI when you don’t have enough data
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.
AI technique ‘decodes’ microscope images, overcoming fundamental limit
Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope’s probe. A new AI technique overcomes this limitation and allows microscopes to resolve material features smaller than the probe’s tip.
RUDN mathematicians build an algorithm for 5G network slicing
RUDN University mathematicians have built an algorithm for effectively segmenting a 5G network. It will help optimally distribute resources between tasks.
New AI Technique Significantly Boosts Medicare Fraud Detection
In Medicare insurance fraud detection, handling imbalanced big data and high dimensionality remains a significant challenge. Systematically testing two imbalanced big Medicare datasets, researchers demonstrate that intelligent data reduction techniques improve the classification of high imbalanced big Medicare data.
Optimizing continuous-variable functions with quantum annealing
Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems dealing with discrete-variable functions).
Virtual drug quiets noise in heart tissue images
Researchers at Washington University in St. Louis have developed a new computational approach to removing movement in images of expanding and contracting heart cells and tissues. By computationally removing movement, the algorithm mimics a drug’s action in stopping the heart, without compromising cellular structure or tissue contractility.
New algorithm ensnares its first ‘potentially hazardous’ asteroid
An asteroid discovery algorithm — designed to uncover near-Earth asteroids for the Vera C. Rubin Observatory’s upcoming 10-year survey of the night sky — has identified its first “potentially hazardous” asteroid, a term for space rocks in Earth’s vicinity that scientists like to keep an eye on.
New algorithm may fuel vaccine development
Immune system researchers have designed a computational tool to boost pandemic preparedness. Scientists can use this new algorithm to compare data from vastly different experiments and better predict how individuals may respond to disease.
Robotic Glove that ‘Feels’ Lends a ‘Hand’ to Relearn Playing Piano After a Stroke
A soft robotic glove is lending a “hand” and providing hope to piano players who have suffered a disabling stroke. Combining flexible tactile sensors, soft actuators and AI, this robotic glove is the first to “feel” the difference between correct and incorrect versions of the same song and to combine these features into a single hand exoskeleton. Unlike prior exoskeletons, this new technology provides precise force and guidance in recovering the fine finger movements required for piano playing and other complex tasks.
Novel algorithm improves understanding of plasma shock waves in space
Scientists have used a recently developed technique to improve predictions of the timing and intensity of the solar wind’s strikes, which sometimes disrupt telecommunications satellites and damage electrical grids.
Create an independent body to regulate AI and prevent it from discriminating against disadvantaged groups
Qihang Lin, associate professor of business analytics at the University of Iowa’s Tippie College of Business, studies artificial intelligence and discrimination with a National Science Foundation grant. Based on his research, he believes an independent third-party organization must be created…
Cleaning Up the Atmosphere with Quantum Computing
Practical carbon capture technologies are still in the early stages of development, with the most promising involving a class of compounds called amines that can chemically bind with carbon dioxide. In AVS Quantum Science, researchers deploy an algorithm to study amine reactions through quantum computing. An existing quantum computer cab run the algorithm to find useful amine compounds for carbon capture more quickly, analyzing larger molecules and more complex reactions than a traditional computer can.
Ming Ye: Then and Now / 2012 Early Career Award Winner
The DOE Early Career Research Program Award allowed Ming Ye at Florida State University to develop interdisciplinary approaches to quantify and reduce uncertainty in environmental studies.
Novel Wearable Belt with Sensors Accurately Monitors Heart Failure 24/7
There is a critical need for non-invasive solutions to monitor heart failure progression around the clock. This novel wearable device is based on sensors embedded in a lightweight belt that monitors thoracic impedance, electrocardiogram (ECG), heart rate and motion activity detection. The device was tested in different conditions including sitting, standing, lying down and walking. Findings showed that all of sensors kept track of the changes for all of the different conditions.
AI model using daily step counts predicts unplanned hospitalizations during cancer therapy
An artificial intelligence (AI) model developed by researchers can predict the likelihood that a patient may have an unplanned hospitalization during their radiation treatments for cancer. The machine-learning model uses daily step counts as a proxy to monitor patients’ health as they go through cancer therapy, offering clinicians a real-time method to provide personalized care. Findings will be presented today at the American Society for Radiation Oncology (ASTRO) Annual Meeting.
BRIDGE Study Finds Disparities Caused by Algorithm in Healthcare Systems
Patients from historically medically underserved groups, including patients of color and those who are Spanish-speaking, have less cancer family history information available to them. In addition, existing health records are less comprehensive, according to a study published October 4 in the Journal of the American Medical Association Network Open.
Rensselaer Researchers to Address Big Data Challenges
Dr. Yangyang Xu, assistant professor of mathematical sciences at Rensselaer Polytechnic Institute, has received a $250,000 grant from the National Science Foundation (NSF) to research challenges associated with distributed big data in machine learning.Machine learning algorithms allow computers to make decisions, predictions, and recommendations on the basis of input training data without being explicitly told what information to look for in the data.
JMIR Biomedical Engineering | Using Machine Learning to Reduce Treatment Burden
JMIR Publications recently published “Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint” in JMIR Biomedical Engineering which reported that the COVID-19 pandemic has illuminated multiple challenges within the health care system and is unique to those living with chronic conditions.
Techcyte announces the release of their second generation AI for Human Parasites
Techcyte, a leading developer of AI-based image analysis solutions for the diagnostics industry, is proud to announce the release of their second-generation solution for Human Fecal Trichrome (HFT) for human parasites.
Suicide Prediction Method Combines AI and Face-to-Face Screening
A new observational study from Vanderbilt University Medical Center points to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults. Reported May 13 in JAMA Open by Drew Wilimitis, Colin Walsh, MD, MA, and colleagues, the study compares an artificial intelligence algorithm with face-to-face screening.
Self-driving microscopes discover shortcuts to new materials
Researchers at the Department of Energy’s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
Improving Georgia land conservation through algorithms
A team of University of Georgia researchers has created a model to help land developers and public officials identify the land that is best suited for conservation. Led by Fabio Jose Benez-Secanho, a former UGA graduate student, and Puneet Dwivedi, associate professor in the Warnell School of Forestry and Natural Resources, this first-of-its-kind algorithm considers a variety of factors not included in other models when calculating the value of land for conservation.
New study compares algorithms for solving the optimal control problem
The RUDN University scientist compared the performance of several algorithms for solving optimal control problems that arise everywhere, from economics to cosmonautics.
FAU Receives NSF Grant to Explore Trait Evolution Across Species
The NSF grant will enable scientists to elucidate trait evolution across species using statistical and supervised machine learning approaches to vigorously and accurately predict general and specific evolutionary mechanisms that also will be applicable to various genomic and transcriptomic data for evolutionary discovery.
Decades After Toxic Exposure, 9/11 First Responders May Still Lower Their Risk of Lung Injury
Losing weight and treating excess levels of fat in the blood may help prevent lung disease in firefighters exposed to dangerous levels of fine particles from fire, smoke, and toxic chemicals on Sept. 11, 2001, a new study shows.
Computer science, environmental health experts at UIC team up to protect US Navy divers with AI
The U.S. Office of Naval Research has awarded University of Illinois Chicago researchers $725,000 to develop an artificial intelligence system that can help protect divers from waterborne bacteria, parasites, and other harmful pathogens and microbes.
Invention: The Storywrangler
Scientists have invented a first-of-its-kind instrument to peer deeply into billions of Twitter posts–providing an unprecedented, minute-by-minute view of popularity, from rising political movements, to K-pop, to emerging diseases. The tool–called the Storywrangler–gathers phrases across 150 different languages, analyzing the rise and fall of ideas and stories, each day, among people around the world. The Storywrangler quantifies collective attention.
Liquid Metal Sensors and AI Could Help Prosthetic Hands to ‘Feel’
Prosthetics currently lack the sensation of “touch.” To enable a more natural feeling prosthetic hand interface, researchers are the first to incorporate stretchable tactile sensors using liquid metal and machine learning. This hierarchical multi-finger tactile sensation integration could provide a higher level of intelligence for artificial hands by improving control, providing haptic feedback and reconnecting amputees to a previously severed sense of touch.
Will COVID-19 Eventually Become Just a Seasonal Nuisance?
Within the next decade, the novel coronavirus responsible for COVID-19 could become little more than a nuisance, causing no more than common cold-like coughs and sniffles. That possible future is predicted by mathematical models that incorporate lessons learned from the current pandemic on how our body’s immunity changes over time. Scientists at the University of Utah carried out the research, now published in the journal Viruses.
UB pharmacy researcher aims to develop real-time algorithm to lower hospital readmission rates
To lower hospital readmission rates for patients with chronic obstructive pulmonary disease (COPD), University at Buffalo pharmacy researcher David Jacobs has received a $962,000 award from the National Heart, Lung, and Blood Institute to develop a real-time readmission risk prediction algorithm.
With Census data release, algorithms can offer fairer alternatives
On Monday, the U.S. Census Bureau will release population data that will be used to determine the number of congressional seats and Electoral College votes each state receives. David Shmoys, professor in computer science at Cornell University, studies how…
The Ramanujan Machine
Using AI and computer automation, Technion researchers have developed a “conjecture generator” that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems. They have already used it to generate a number of previously unknown formulas.
Story Tips from Johns Hopkins Experts on COVID-19
Vaccines take time to work. After getting a COVID-19 vaccine, it takes a while for the immune system to fully respond and provide protection from the virus. For the Moderna and Pfizer COVID-19 vaccines, it takes up to two weeks after the second shot to become appropriately protected.