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
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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.
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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.
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A Free App Can Help School and College Administrators Contain COVID-19 This Semester
With COVID-19 infection rates rising across the country as students return to school for the spring semester, how will schools
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Borrowing from birds, experts reduce search times for novel high-entropy alloys to seconds
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.
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App Developed at Rensselaer Can Help Guide COVID-19 Management on Any Campus
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.
Read moreBest way to detect ‘deepfake’ videos? Check for the pulse
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%.
Read moreAlgorithm boosts efficiency, nutrition for food bank ops
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.
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Scientists use reinforcement learning to train quantum algorithm
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
Read moreAlgorithm Created By “Deep Learning” Identifies Potential Therapeutic Targets Throughout Genome
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.
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Looking Up to the Stars Can Reveal What’s Deep Below
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.
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Image Analysis Technique Provides Better Understanding of Heart Cell Defects
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.
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Mount Sinai First in U.S. to Use Artificial Intelligence to Analyze Coronavirus (COVID-19) Patients
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).
Read moreArtificial Intelligence Algorithm Can Rapidly Detect Severity of Common Blinding Eye Disease
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.
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Engineering assistant professor develops safer, quicker data processing method
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.
Read moreAlgorithm tracker monitors Reddit rankings of COVID-19 posts
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.
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Digital Tool Helps Hospital Make Important Coronavirus Retest Decisions
The dearth of coronavirus tests and the many false negatives confront doctors with a difficult decision this new tool helps them make.
Read moreWe Know AI is Biased; This Design Approach May Help Fix It
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.
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Breaking Through Computational Barriers to Create Designer Proteins
Using advanced computational methods to find working designs, researchers created six protein pairs in cells.
Read moreCFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap
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.
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New algorithms improve prosthetics for upper limb amputees
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.
New Algorithms Shed Light on Molecules’ Structure and Motion in Cells
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.”
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New software tool uses AI to help doctors identify cancer cells
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.
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Artificial Intelligence Tool Predicts Life Expectancy in Heart Failure Patients
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.
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Symmetries in Physical Systems Help Optimize Quantum Computing
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.
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Algorithm Reduces Need for Therapy in Children With Intermediate-Risk Neuroblastoma
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.
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Machine learning in agriculture: scientists are teaching computers to diagnose soybean stress
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.
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Artificial Intelligence Could be ‘Game Changer’ in Detecting, Managing Alzheimer’s Disease
Study Introduces Machine Learning as New Tactic in Assessing Cognitive Brain Health and Patient Care Worldwide, about 44 million people
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