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.
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.
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.
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.
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.
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…
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.
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.
With COVID-19 infection rates rising across the country as students return to school for the spring semester, how will schools and colleges control the spread? COVID Back-to-School can help. It’s a free online tool that predicts the outcome of taking…
Computational materials science experts at the U.S. Department of Energy’s Ames Laboratory enhanced an algorithm that borrows its approach from the nesting habits of cuckoo birds, reducing the search time for new high-tech alloys from weeks to mere seconds.
Leaders at Rensselaer Polytechnic Institute relied on a powerful algorithm, COVID Back-to-School – now freely available to the public – to determine that twice-weekly testing of all students would be the optimal regimen for keeping the infection rate on campus safely below 1% for any two-week period.
Researchers from Binghamton University have teamed up with Intel to develop a tool called FakeCatcher, which can detect deepfake videos at an accuracy rate above 90%.
Cornell University systems engineers examined data from a busy New York state food bank and, using a new algorithm, found ways to better allocate food and elevate nutrition in the process.
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure – and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.
Using a new technique originally designed to explore the cosmos, scientists have unveiled structures deep inside the Earth, paving the way towards a new map revealing what Earth’s interior looks like.
Many patients with heart disease face limited treatment options. Fortunately, stem cell biology has enabled researchers to produce large numbers of cardiomyocytes, which may be used in advanced drug screens and cell-based therapies. However, current image analysis techniques don’t allow researchers to analyze heterogeneous, multidirectional, striated myofibrils typical of immature cells. In the Journal of Applied Physics, researchers showcase an algorithm that combines gradient methods with fast Fourier transforms to quantify myofibril structures in heart cells with considerable accuracy.
Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with coronavirus disease (COVID-19).
A new artificial intelligence (AI) algorithm developed by researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) can rapidly and accurately detect age-related macular degeneration (AMD), a leading cause of vision loss in the United States.
A novel algorithm to solve big data resource sharing problems over large networks, developed by researchers in the Penn State College of Engineering, may also have implications for energy savings and data security.
Since 2016, Cornell University assistant professor of communication J. Nathan Matias has tracked the algorithms on Reddit, a massive network of forums where people share content and news, and which claims to have more users than Twitter. As the coronavirus pandemic exploded, Matias began using the tool – called the COVID-19 Algo-Tracker – to monitor Reddit’s virus-related posts and threads, both to inform people about the mechanisms behind the information they’re receiving and to create a large, publicly available dataset for future research.
The dearth of coronavirus tests and the many false negatives confront doctors with a difficult decision this new tool helps them make.
Bias in artificial intelligence is well established. Researchers are now proposing that developers incorporate the concept of “feminist design thinking” into their process as a way of improving equity – particularly in the development of software used in hiring.
Using advanced computational methods to find working designs, researchers created six protein pairs in cells.
As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.
Dr. Maryam Zahabi is leading a team of researchers in an effort to improve prosthetics for upper limb amputees. Her team is looking at the mental demand placed on individuals using prosthetics and how new prosthetic interfaces can help reduce this demand.
To understand why very large molecules behave the way they do inside cells, scientists must first understand the relationship between these molecules’ structure and motion. Engineers created algorithms that provide the physics backbone for a new “microscope in a computer.”
UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes.
Researchers at University of California San Diego School of Medicine, as well as a diverse team of cardiologists and physicists, developed a machine learning algorithm to predict the life expectancy in heart failure patients.
At the AVS 66th International Symposium and Exhibition, Oct. 20-25, Daniel Gunlycke will present a study on using symmetry to reduce the effects of random quantum entanglement in quantum computing applications. When deliberate, quantum entanglement can make algorithms more powerful and efficient, but uncontrolled entanglement adds unnecessary additional complexity to quantum computing, making algorithms suboptimal and more prone to error. Gunlycke says by reducing the frequency of accidental entanglements, quantum computing can be improved.
Roswell Park’s Dr. Clare Twist led an effort to develop and validate a new treatment algorithm for infants and children with neuroblastoma. In a new study in the Journal of Clinical Oncology, the team reports that many patients can safely receive less extensive therapy.
Machine learning could lead to automated processes that would allow soybean producers to diagnose crop stresses more efficiently. A multi-disciplinary team at Iowa State University recently received a grant to develop the technology, which could lead to unmanned aerial vehicles surveying fields and automatically analyzing crop images.
Study Introduces Machine Learning as New Tactic in Assessing Cognitive Brain Health and Patient Care Worldwide, about 44 million people are living with Alzheimer’s disease (AD) or a related form of dementia. Although 82 percent of seniors in the United…