Scientists may be a step closer to solving some of anthropology’s biggest mysteries thanks to a machine learning algorithm that can scour through remote sensing data, such as satellite imagery, looking for signs of human settlements, according to an international team of researchers.
Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders. In a new study published in Neuron, a multidisciplinary team showed how brain networks unique to each child can predict cognition. The study is the first to show that functional neuroanatomy can vary greatly among kids, and is refined during development.
Sepsis causes nearly 270,000 deaths in the United States each year. Find out how big data approaches are helping clinicians catch it sooner, treat it better, and help survivors cope with long-term effects.
Snakes live in diverse environments ranging from unbearably hot deserts to lush tropical forests, where they slither up trees, rocks and shrubbery every day. By studying how these serpents move, Johns Hopkins engineers have created a snake robot that can nimbly and stably climb large steps.
Irvine, Calif., Feb. 18, 2020 – A new artificial intelligence-enhanced video compression model developed by computer scientists at the University of California, Irvine and Disney Research has demonstrated that deep learning can compete against established video compression technology. Unveiling their work in December at the Conference on Neural Information Processing Systems in Vancouver, British Columbia, the UCI/Disney Research team members showed that their compressor – while still in an early phase – yielded less distortion and significantly smaller bits-per-pixel rates than classical coding-decoding algorithms such as H.
An approach based on artificial intelligence (AI) may allow EKGs to be used to screen for hypertrophic cardiomyopathy in the future. With hypertrophic cardiomyopathy, the heart walls become thick and may interfere with the heart's ability to function properly. The disease also predisposes some patients to potentially fatal abnormal rhythms. Current EKG technology has limited diagnostic yield for this disease.
Feature highlights PPPL accomplishments over the past 10 years.
The consequences of workplace automation will likely impact just about every aspect of our lives, and scholars and policymakers need to start thinking about it far more broadly if they want to have a say in what the future looks like, according to a new paper co-authored by a Cornell University researcher.
To better leverage cancer data for research, scientists at ORNL are developing an artificial intelligence (AI)-based natural language processing tool to improve information extraction from textual pathology reports. In a first for cancer pathology reports, the team developed a multitask convolutional neural network (CNN)—a deep learning model that learns to perform tasks, such as identifying key words in a body of text, by processing language as a two-dimensional numerical dataset.
Using aerosols as ground truth, researchers at the McKelvey School of Engineering at Washington University in St. Louis have developed a deep learning method that accurately simulates chaotic trajectories — from the spread of poisonous gas to the path of foraging animals.
Argonne scientists are combining one-of-a-kind x-ray experiments with novel computer simulations to help engineers at aerospace and defense companies save time and money.
Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.
What will it take for robot assistants to become more integrated in our daily lives? Assistant Professor Naomi Fitter thinks they’ll need to master the physical aspects of social interactions, while Associate Professor Cindy Grimm cautions against programming them to behave just like us.
Researchers are increasingly using computer models to predict how light will interact with metamaterials. Scientists used machine learning techniques to analyze databases of information. The computer program predicted the ideal metamaterial design for absorbing low-energy light.
Story Tips: Fusion squeeze, global image mapping, computing mental health and sodium batteries
Researchers trained machine learning algorithms on data from more than 62,000 patients with a meningioma. Their goal was to find statistical associations between malignancy, survival, and a series of basic clinical variables including tumour size, tumour location, and surgical procedure.
In the future, robots could take blood samples, benefiting patients and healthcare workers alike. A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device.
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.
A Tufts University team is one of four grand prize winners in the National Science Foundation’s search for big ideas to inform its research agenda for the coming decade.
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.
Can buildings learn to save all by themselves? Empa researchers think so. In their experiments, they fed a new self-learning heating control system with temperature data from the previous year and the current weather forecast. The “smart” control system was then able to assess the building’s behavior and act with good anticipation. The result: greater comfort, lower energy costs.
New York University will feature the latest public interest technology research, including work in the areas of tech law, AI, social science, data science, robotics, investigative journalism, human rights, and more on Thurs., Feb. 6.
Just when it seemed like robots couldn’t get any cooler, Cornell University researchers have created a soft robot muscle that can regulate its temperature through sweating.
The Big Questions series features perspectives from the five recipients of the Department of Energy Office of Science’s 2019 Distinguished Scientists Fellows Award describing their research and what they plan to do with the award. Ian Foster is the director of Argonne National Laboratory’s Data Science and Learning Division.
Virtual assistants don't yet live up to their considerable potential when it comes to providing users with reliable and relevant information on medical emergencies, according to a new study from University of Alberta researchers.
Cactus Communications, a global scientific communications company, announced that it has acquired UNSILO, a Denmark-based Artificial Intelligence (AI) and Natural Language Processing (NLP) company that specializes in text analytics, linguistics, and data science.
Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient’s progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.
A new study by Carey Business School researchers notes that some expert medical diagnosticians may order fewer patient tests as a way to indicate a high level of competence to their peers. They do so despite an increase in diagnostic techniques that can assess patient condition more accurately than former methods.
Artificial intelligence can help cancer patients start their radiation therapy sooner – and thereby decrease the odds of the cancer spreading – by instantly translating complex clinical data into an optimal plan of attack.
Rhinoplasty may make a woman appear to be three years younger, machine learning shows
On February 7 and 8, UC San Diego will bring together experts from data science and the arts and humanities to examine the emerging relationship between data and culture. The symposium will provide a forum for artists, historians, philosophers, literary scholars, political scientists, and computer and data scientists to explore how analytic techniques can unveil new understandings of culture, and how the proliferation of data in everyday life changes how culture is produced, distributed, and influenced.
Irvine, Calif., Jan. 27, 2020 – A neural network-driven Earth system model has led University of California, Irvine oceanographers to a surprising conclusion: Phytoplankton populations in low-latitude waters will expand by the end of the 21st century. The unexpected simulation outcome runs counter to the longstanding belief by many in the environmental science community that global climate change will make tropical oceans inhospitable to phytoplankton, which form the base of the aquatic food web.
Candace Culhane, a program/project director in Los Alamos National Laboratory’s Directorate for Simulation and Computation, has been selected as the general chair for the 2022 SC Conference (SC22).
Algorithms based on artificial intelligence do better at supporting educational and clinical decision-making, according to a new study.
A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation.
The American Physical Society (APS) has recognized a former PPPL summer intern for producing an outstanding research poster at the world-wide APS Division of Plasma Physics (DPP) gathering last October. The student used machine learning to accelerate a leading PPPL computer code known as XGC.
Four experts in diverse aspects of artificial intelligence have joined Rensselaer Polytechnic Institute as part of the Artificial Intelligence Research Collaboration (AIRC), a recently formed joint initiative of Rensselaer and IBM Research.
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.
Kolumbo volcano—which sits 500 meters below the surface within the fault-heavy Hellenic Volcanic Arc just off Santorini—is the Aegean Sea’s most active and potentially dangerous volcano.
Traditional methods of vacuum suction and previous vacuum suction devices cannot maintain suction on rough surfaces due to vacuum leakage, which leads to suction failure. Researchers Xin Li and Kaige Shi developed a zero-pressure difference method to enhance the development of vacuum suction units. Their method overcame leakage limitations by using a high-speed rotating water ring between the surface and suction cup to maintain the vacuum. They discuss their work in Physics of Fluids.
Airport security queues could be slashed and screening for weapons could become much more effective after Queen’s University Belfast researchers have been awarded £1 million to develop a ground-breaking solution.
A new study finds that an interactive voice application using artificial intelligence is as accurate at tracking the wellbeing of patients being treated for serious mental illness as their physicians.
The American Association for Thoracic Surgery (AATS) has adopted an open-source, cloud-based platform led out of the San Diego Supercomputer Center (SDSC) that addresses widely recognized challenges with historical platforms throughout the cardiothoracic surgical community.
The Institute of Electrical and Electronics Engineers (IEEE) has selected Dr. Emil Jovanov, an associate professor of electrical and computer engineering at The University of Alabama in Huntsville (UAH), as a Fellow for his contributions to the field of wearable health monitoring.
Building on three decades of success, the Mayo Clinic Radio team is taking the next step in the evolution of connecting with patients and consumers. The new Mayo Clinic Q&A podcast debuts Wednesday, Jan. 15.
Researchers at Columbia Engineering and Columbia Law School have developed a joint fault-based liability rule that can be used to regulate both self-driving car manufacturers and human drivers. They propose a game-theoretic model that describes the strategic interactions among the law maker, the self-driving car manufacturer, the self-driving car, and human drivers, and examine how, as the market penetration of AVs increases, the liability rule should evolve.
A University at Buffalo neuroimaging researcher has developed a computer model of the human brain that more realistically simulates actual patterns of brain impairment than existing methods. The novel advancement represents the union of two established approaches to create a digital simulation environment that could help stroke victims and patients with other brain injuries by serving as a testing ground for hypotheses about specific neurological damage.
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