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UrduResearch findings published in Nature Communications outline how a national team of researchers supported by the DOE’s Office of Science opens up a new dimension of safe hardware for AI and neuromorphic computing.
Tag: Artificial Intelligence
DHS S&T Awards $142K to Cignal for Artificial Intelligence Model Training
DHS S&T awarded $142,465 in Phase 1 funding to Cignal LLC of Ashburn, Virginia, to create high-fidelity synthetic data used to train artificial intelligence (AI).
UAH boosts search for COVID-19 drugs using HPE Cray Sentinel supercomputer
University of Alabama in Huntsville (UAH) professor of biological science Dr. Jerome Baudry is collaborating with Hewlett Packard Enterprise (HPE) to use HPE’s Cray Sentinel supercomputer to search for natural products that are effective against the COVID-19 virus.
UCI mathematicians use machine intelligence to map gene interactions
Irvine, Calif., April 29, 2020 — Researchers at the University of California, Irvine have developed a new mathematical machine-intelligence-based technique that spatially delineates highly complicated cell-to-cell and gene-gene interactions. The powerful method could help with the diagnosis and treatment of diseases ranging from cancer to COVID-19 through quantifing crosstalks between “good” cells and “bad” cells.
NUS-led team develops artificial intelligence platform to combat infectious diseases
A research team led by Professor Dean Ho from the National University of Singapore has developed a ground-breaking artificial intelligence platform known as ‘IDentif.AI’ which can identify optimal drug combination therapies at unprecedented speeds.
Organic Memory Devices Show Promise for Flexible, Wearable, Personalized Computing
The advent of artificial intelligence, machine learning and the internet of things is expected to change modern electronics. The pressing question for many researchers is how to handle this technological revolution. Brain-inspired electronics with organic memristors could offer a functionally promising and cost- effective platform. Since memristors are functionally analogous to the operation of neurons, the computing units in the brain, they are optimal candidates for brain-inspired computing platforms.
Identifying the Dark Matter of the Molecular World
Scientists have deployed artificial intelligence to identify more of the billions of metabolites that are currently unknown. The small molecules underlie and inform every aspect of our lives, including energy production, the fate of the planet, and our health. “Beast Mode” helps explain how they did it.
Algorithm 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.
UPMC Leads Global Effort to Fast Track Testing of Hydroxychloroquine and other COVID-19 Therapies with ‘Learning While Doing’ Clinical Trial
Novel ‘learning while doing’ clinical trial approach called REMAP helps doctors find the optimal trade-off between quickly adopting new therapies during a pandemic, such as the anti-malarial drug hydroxychloroquine, and waiting until they are tested in longer clinical trials. The trial announced today at UPMC, called UPMC-REMAP-COVID19 learns from similar trials enrolling around the world and uses artificial intelligence to quickly arrive at answers.
IMSA High School Internship advances DUNE project and showcases unexplored potential of physics
Argonne National Laboratory’s Illinois Mathematics and Science Academy (IMSA) High School Internship Program has this year’s exceptionally bright high school students working on the Deep Underground Neutrino Experiment (DUNE)’s world-changing research.
‘CoronaCheck’ website combats spread of misinformation
Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.
AI as mediator: ‘Smart’ replies help humans communicate during pandemic
Daily life during a pandemic means social distancing and finding new ways to remotely connect with friends, family and co-workers. And as we communicate online and by text, artificial intelligence could play a role in keeping our conversations on track, according to new Cornell University research.
Artificial Intelligence Can Help Some Businesses But May Not Work For Others
The temptation for businesses to use artificial intelligence and other technology to improve performance, drive down labor costs, and better the bottom line is understandable. But before pursuing automation that could put the jobs of human employees at risk, it is important that business owners take careful stock of their operations.
Artificial intelligence could help predict future diabetes cases
A type of artificial intelligence called machine learning can help predict which patients will develop diabetes, according to an ENDO 2020 abstract that will be published in a special supplemental section of the Journal of the Endocrine Society.
Artificial intelligence improves X-ray identification of patients with broken bones
Artificial intelligence that can “read” electronic radiology reports and flag patients with broken bones who are at risk of osteoporosis outperformed the traditional manual method of health care professionals reading X-ray reports, a new study finds. The results were accepted for presentation at ENDO 2020, the Endocrine Society’s annual meeting, and will be published in a special supplemental section of the Journal of the Endocrine Society.
Teamwork Triumphs at 2020 Illinois Regional Middle School Science Bowl
The U.S. Department of Energy’s Argonne National Laboratory Educational Programs and Outreach hosted the 2020 Illinois Regional Science Bowl Competition, where 15 different schools competed in trivia across a wide range of STEM topics.
Researchers develop early warning system to fight disinformation online
The Notre Dame project is an effort to combat the rise of coordinated social media campaigns to incite violence, sew discord and threaten the integrity of democratic elections.
Staying Two Steps Ahead of the Coronavirus
A method of predicting the coronavirus spread – pioneered and developed by Weizmann Institute scientists – may enable authorities to focus efforts on areas where an outbreak is anticipated and relieve measures taken in others. Several countries, including the U.S., are adopting the new method
April’s Edition of SLAS Technology is Accessible
Just released is the April edition of SLAS Technology featuring cover article, “CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence,” by Agata Blasiak, Ph.D., Jeffrey Khong, Ph.D., and Theodore Kee, Ph.D., (University of Singapore and The N.1 Institute for Health).
Berkeley Lab Cosmologists Are Top Contenders in Machine Learning Challenge
In a machine learning challenge dubbed the 2020 Large Hadron Collider Olympics, a team of cosmologists from Berkeley Lab developed a code that best identified a mock signal hidden in simulated particle-collision data.
Virtual ENDO 2020 news conferences to highlight advances in technology, thyroid health
Researchers will discuss how artificial intelligence and drones are being incorporated into health care when they share the latest emerging science during the Endocrine Society’s ENDO 2020 virtual news conferences March 30-31.
What Automation Means for Jobs
When was the last time you went to the mall for something you could buy on your phone? Automation is a disruptive force that continues to shape the future. CFR breaks down what automation means for the U.S. workforce.
AI may help spot newborns at risk for most severe form of blinding disease
An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP). AP-ROP is the most severe form of ROP and can be difficult to diagnose in time to save vision.
Artificial Intelligence: Meet the students researching its future
Artificial Intelligence (AI) is changing the world, with its own developments happening every day
Robot Uses Artificial Intelligence and Imaging to Draw Blood
Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on some complex medical tasks.
Computer Scientist Develops the Art of Artificial Intelligence
Dr. Kang Zhang uses artificial intelligence (AI) to teach computers to create illustrations in the style of the famous masters: Jackson Pollock and his paint splatters or Joan Miró and his curved shapes and sharp lines. The process involves feeding computers examples of colors, abstract shapes and layouts so they can learn to produce their own versions of masterpieces.
University of Toledo engineering students as future STEM leaders
On Monday, January 13, engineering students from the University of Toledo’s Roy and Marcia Armes Engineering Leaderships Institute (ELI) visited Argonne National Laboratory to prepare themselves for the leadership challenges facing engineers.
New twist in artificial intelligence could enhance the prediction of fusion disruptions
New application of deep learning allows prediction of disruptions from raw, high-resolution data from fusion energy experiments.
Using eyes in the sky for sustainability: HU research team to harness AI, satellite imagery to create Lean, Smart cities
According to the Institute for Health Metrics and Evaluation, exposure to polluted air, water, and soil caused more than 9 million premature deaths in 2015 – three times more than malaria, AIDS and tuberculosis combined. Other pollution forms, such as noise and light pollution, can cause stress, anxiety, headaches, and sleep loss resulting in decreased productivity.
These alarming statistics recently led a team at HU to begin work toward real solutions aimed at changing the troubling pollution picture. The team intends to develop a blueprint for cities to minimize waste sources in electricity, transportation, water, and more.
Chicago Public School students go beyond coding and explore artificial intelligence with Argonne National Laboratory
The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago initiative.
Beating Cancer – One Patient at a Time
Like most people, John Gifford wasn’t looking forward to a colonoscopy when he arrived on the UCI Medical Center campus in Orange in 2018. The Riverside man, 65, was concerned about his family history of colorectal cancer and had dutifully scheduled an appointment with UCI Health gastroenterologist Dr. William Karnes. The exam turned out to be intriguing and enlightening – a far cry from what one expects during a colonoscopy, Gifford recalls with a laugh.
Computers scour satellite imagery to unveil Madagascar’s mysteries
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.
UCI and Disney Research scientists develop AI-enhanced video compression model
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.
Consider workplace AI’s impact before it’s too late, study says
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.
ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time
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.
Argonne engineers streamline jet engine design
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.
Bridging the gap between AI and the clinic Rapprocher l’IA de la pratique clinique
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.
Des chercheurs ont entraîné des algorithmes d’apprentissage automatique à partir des données de plus de 62 000 patients ayant un méningiome. L’objectif était de déceler des associations statistiques entre la malignité, le temps de survie et d’autres variables cliniques de base telles que la taille de la tumeur, son emplacement et la nature de l’intervention chirurgicale effectuée.
New Robot Does Superior Job Sampling Blood
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.
We 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.
Tufts University Team Wins a Grand Prize in NSF Idea Machine Competition
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.
CFN 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.
Self-learning heating control system saves energy
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.
AI-analyzed blood test can predict the progression of neurodegenerative disease
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.
AI to help monitor behaviour
Algorithms based on artificial intelligence do better at supporting educational and clinical decision-making, according to a new study.
Former PPPL intern honored for outstanding machine learning poster
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.
Spock versus the volcano
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.
Spock versus the volcano
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.
Using voice analysis to track the wellness of patients with mental illness
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.
IEEE selects UAH’s Jovanov as Fellow for wearable health monitoring contributions
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.
New Program Supports Machine Learning in the Chemical Sciences and Engineering
The Camille and Henry Dreyfus Foundation announces the establishment of a new program for Machine Learning in the Chemical Sciences and Engineering. The goal of this program is to further the understanding and applications of machine learning throughout the chemical sciences.