Researchers at Argonne are harnessing the power of machine learning to enhance the safety and efficiency of next-generation nuclear reactors. Using a specialized model, researchers may be able to detect anomalies in reactor operations even when they are masked by other noises, ensuring a safer energy future.
Tag: Artificial Intelligence
Learning to forget – a weapon in the arsenal against harmful AI
In a world increasingly aware of the environmental challenges posed by microplastics, a pioneering study conducted by Ruxandra Malina Petrescu-Mag from Babes-Bolyai University, and published in PeerJ Life & Environment, sheds new light on the impact of media narratives on public perception and awareness of microplastic risks.
GW Experts Available: Britain Hosts World’s First Global AI Safety Summit
Britain is hosting the world’s first global artificial intelligence (AI) safety summit to examine the risks of AI and start an international dialogue on regulating the fast-moving technology, according to Reuters. World leaders, tech executives, academics and non-profits are meeting for…
GW Experts Available: Biden Administration Unveils Highly-Anticipated Executive Order on AI
The Biden Administration unveiled a highly-anticipated executive order on artificial intelligence (AI) today. According to The Washington Post, it marks the U.S. government’s most significant attempt yet to regulate the fast-moving technology. The order streamlines high-skilled immigration and heralds the use of AI…
AI can alert urban planners and policymakers to cities’ decay
As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns. To address this issue, Yong Suk Lee, assistant professor of technology, economy and global affairs in the Keough School of Global Affairs at the University of Notre Dame, and Andrea Vallebueno from Stanford University used machine learning to develop a scalable method to measure urban decay.
A new era for accurate, rapid COVID-19 testing
Research from Osaka University demonstrates a nanopore-based technique that can detect different variants of SARS-CoV-2, the virus that causes COVID-19. The method was very effective in detecting the Omicron variant of the virus in the saliva of people with COVID-19.
AI Insight Forum: Urgency needed to protect data laborers
Low-paid data workers who train AI models sent a letter to lawmakers ahead of a Senate meeting with AI leaders today urging Congress to protect their rights. Aditya Vashistha, assistant professor of information science at Cornell University, studies computing systems with…
Security threats in AIs such as ChatGPT revealed by researchers
Artificial intelligence (AI) tools such as ChatGPT can be tricked into producing malicious code, which could be used to launch cyber attacks, according to research from the University of Sheffield.
Artificial intelligence may help predict infection risks after implant-based breast reconstruction
Artificial intelligence (AI) techniques may provide a more accurate approach to predicting the risk of periprosthetic infection after implant-based breast reconstruction, reports a study in the November issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).
A Cancer Survival Calculator Is Being Developed Using Artificial Intelligence
Researchers have developed an artificial intelligence (AI)–based tool for estimating a newly diagnosed cancer patient’s chances for surviving long term, according to a study presented at the American College of Surgeons (ACS) Clinical Congress 2023.
An algorithm predicts the academic performance of distance education students
A team from the University of Cordoba has designed a model, based on fuzzy logic, that predicts the performance of online education students, dividing them into 4 categories and helping professors give more personalized assistance to each student, tailored to their situations
From square to cube: Hardware processing for AI goes 3D, boosting processing power
In a paper published today in Nature Photonics, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg, and Exeter, report on their development of integrated photonic-electronic hardware capable of processing three-dimensional (3D) data, substantially boosting data processing parallelism for AI tasks.
SMU lab creating large synthetic datasets to reduce bias, preserve privacy in AI facial recognition systems
The quality of any artificial intelligence (AI) model relies on the data it is given. That is why researchers at SMU are creating large datasets to address bias and fairness issues found in facial recognition (FR) technology.
Fourth Mayo Clinic Platform_Accelerate cohort shows depth, variety of AI healthcare startups
Mayo Clinic Platform_Accelerate is excited to announce its fourth cohort consisting of nine innovative health tech startups from around the globe. T
AI identifies antimalarial drug as possible osteoporosis treatment
Artificial intelligence is being harnessed by some scientists to predict which molecules could treat illnesses. Researchers reporting in ACS Central Science have used one such deep learning algorithm, and found that an antimalarial drug could treat osteoporosis.
New photonic chips for high-capacity data transmissions
High-performance thin-film lithium niobate optical modulators have emerged that are highly expected to satisfy the ever-growing demand for high-capacity optical interconnects utilizing multiple channels in parallel.
AI researchers expose critical vulnerabilities within major LLMs
Large Language Models (LLMs) such as ChatGPT and Bard have taken the world by storm this year, with companies investing millions to develop these AI tools, and some leading AI chatbots being valued in the billions.
Researchers measure global consensus over the ethical use of AI
To examine the global state of AI ethics, a team of researchers from Brazil performed a systematic review and meta-analysis of global guidelines for AI use.
Responsible AI Initiative seeks to solve societal problems
The University of Utah is launching a new research initiative focused on AI that aims to responsibly use advanced AI technology to tackle societal issues. President Taylor Randall announced a $100 million investment in the newly created Responsible AI Initiative that will advance AI, led by the U’s Scientific Computing and Imaging Institute.
AI Discussion at International Medical Conference Presented by Sbarro Health Research Organization
Top Italian Scientists join the discussion of AI and Machine Learning presented by the Sbarro Health Research Organization (SHRO) in collaboration with the National Italian American Foundation (NIA) this weekend at the annual NIAF convention and gala.
AI-Driven Earthquake Forecasting Shows Promise in Trials
A new attempt to predict earthquakes with the aid of artificial intelligence has raised hopes that the technology could one day be used to limit earthquakes’ impact on lives and economies.
AI-driven earthquake forecasting shows promise in trials
A new attempt to predict earthquakes with the aid of artificial intelligence has raised hopes that the technology could one day be used to limit earthquakes’ impact on lives and economies. Developed by researchers at The University of Texas at Austin, the AI algorithm correctly predicted 70% of earthquakes a week before they happened during a seven-month trial in China.
Using artificial intelligence, Argonne scientists develop self-driving microscopy technique
Argonne researchers have tapped into the power of AI to create a new form of autonomous microscopy.
RUDN Economist Told How to Increase Future Productivity When Humans are colleagues With Robots
The RUDN University economist explored what the labor market of the future will be like, where humans and itelligent machines will work together. The authors have identified which of them will make the main contribution to productivity growth – and these are not robots.
Department of Energy Announces $16 Million for Research on the DIII-D National User Facility and Small-scale Experiments
Today, the U.S. Department of Energy (DOE) announced $16 million in funding for nine projects that are focused on advancing innovative fusion technology and collaborative research on small-scale experiments and on the DIII-D National Fusion Facility, an Office of Science scientific user facility. The projects will be executed under 16 awards at 13 institutions across the nation.
Mayo Clinic’s AI innovation inspires hope in early detection of pancreatic cancer
Estimated to become the second leading cause of cancer deaths in the U.S. by 2030, pancreatic cancer has a grim prognosis with nearly 70% of patients facing mortality within the first year of diagnosis. Unfortunately, 40% of small pancreatic cancers elude detection on CT scans until they’ve advanced to an incurable stage.
GW Expert Available: President Biden Teases Highly Anticipated Executive Order on AI
This week, U.S. President Joe Biden teased a highly anticipated executive order on artificial intelligence in the coming weeks. There were no details about the order, which was first announced in July. Biden also reiterated the United States’ commitment to working with international…
Perimeter and Haiqu partnership forges new model for quantum computing research
The Perimeter Institute and quantum software startup Haiqu have established a new partnership to more closely connect fundamental research and technological innovation.
ORNL launches Center for AI Security Research to study AI’s impacts on society, security
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of its Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
Western researchers use AI to predict recovery after serious brain injury
Two graduate students from Western University have developed a ground-breaking method for predicting which intensive care unit (ICU) patients will survive a severe brain injury.
EMBARGOED – UTHealth Houston study: Artificial intelligence software improves endovascular thrombectomy treatment times for stroke patients
The implementation of artificial intelligence-powered large vessel occlusion (LVO) detection software for acute stroke triage can improve endovascular thrombectomy treatment times, according to new research from UTHealth Houston.
Ohio State leads new global climate center on AI for biodiversity change
The Ohio State University will lead a new multimillion dollar international center devoted to using artificial intelligence to help understand climate impacts on biodiversity.
In the age of ChatGPT, what’s it like to be accused of cheating?
While the public release of the artificial intelligence-driven large-language chatbot, ChatGPT, has created a great deal of excitement around the promise of the technology and expanded use of AI, it has also seeded a good bit of anxiety around what a program that can churn out a passable college-level essay in seconds means for the future of teaching and learning.
Groundbreaking soft valve technology enabling sensing and control integration in soft robots
Soft inflatable robots have emerged as a promising paradigm for applications that require inherent safety and adaptability. However, the integration of sensing and control systems in these robots has posed significant challenges without compromising their softness, form factor, or capabilities.
$3M grant funds training to harness power of AI for social, environmental challenges
The National Science Foundation (NSF) is investing $3 million over the next five years in the Artificial Intelligence (AI) Advancements and Convergence in Computational, Environmental and Social Sciences (AI-ACCESS) program at Washington University in St. Louis.
Preventing Ground Collapse through New AI-based Monitoring
The Korea Institute of Civil Engineering and Building Technology(KICT) has developed an AI-based predictive model, which is called “AI-based CRPM(Collapse Risk Prediction Model)”, that effectively provides warning for the risk of ground collapse using 3D underground space information.
Not too big: Machine learning tames huge data sets
A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.
Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.
Cultivating Innovative AI Solutions to Enhance Patient Care
As the use of artificial intelligence continues to rapidly evolve, Cedars-Sinai is tapping its own experts to create and deploy AI-driven solutions to real-time healthcare challenges.
AI can help write a message to a friend – but don’t do it
Using artificial intelligence applications to help craft a message to a friend is not a good idea – at least if your friend finds out about the use of AI, a new study suggests. Researchers found that people in the study perceived that a fictional friend who used AI assistance to write them a message didn’t put forth as much effort as a friend who wrote a message themselves.
Internationally recognized computational researcher Spyridon Bakas, PhD, to serve as inaugural director of Division of Computational Pathology
Indiana University School of Medicine Department of Pathology is launching a new Division of Computational Pathology and a Research Center for Federated Learning in Precision Medicine.
Worries about artificial intelligence, surveillance at work may be connected to poor mental health
Employees’ concerns about the use of artificial intelligence and monitoring technologies in the workplace may be negatively related to their psychological well-being and lead them to feel less valued, according to a survey from the American Psychological Association.
UAH receives Stage 1 approval for $24.4M Bevill Center renovation to expand cybersecurity education, training and research
The University of Alabama in Huntsville (UAH) received Stage 1 approval from the University of Alabama System Board of Trustees for a $24.4 million Center for Cybersecurity Research, Education and Advanced Training. The 45,000-square-foot renovation project will establish UAH’s Bevill Center as the new home of the existing UAH Center for Cybersecurity Research and Education (CCRE), and it will modify the building to add modern classroom and training spaces, research laboratories and office space, as well as complete upgrades to the main building lobby.
Department of Energy Announces $29 Million for Research on Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences
WASHINGTON, D.C. – Today, the U.S. Department of Energy (DOE) announced $29 million in funding for seven team awards for research in machine learning, artificial intelligence, and data resources for fusion energy sciences.
Two studies demonstrate the benefits and limitations of artificial intelligence in colonoscopy
New research published in Annals of Internal Medicine explores the possible benefits and limitations of using computer assistance, or artificial intelligence, in detecting lesions and cancer during colonoscopy.
Two networks, two realities, one big problem
National news coverage from the two largest broadcast outlets, CNN and Fox News, not only reflects growing political polarization in America, but in a recent publication, researchers at Virginia Tech have shown that partisan and inflammatory broadcast coverage has increased over time and can exacerbate growing divides in the new public square of social media.
Artificial intelligence can now estimate rice yields, according to new study
Given the expected surge in worldwide demand for staple crops by 2050 due to population growth, higher individual incomes, and increased biofuel usage, the adoption of sustainable agricultural practices is crucial to meet this demand.
Artificial Intelligence Beyond the Clinic
Artificial intelligence’s impact goes beyond clinical medicine. It is reshaping science in more profound ways.
Department of Energy Announces $16 Million for Research on Artificial Intelligence and Machine Learning (AI/ML) for Nuclear Physics Accelerators and Detectors
Today, the U.S. Department of Energy (DOE) announced $16 million for fifteen projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research.
Autonomous discovery defines the next era of science
Argonne National Laboratory is reimagining the lab spaces and scientific careers of the future by harnessing the power of robotics, artificial intelligence and machine learning in the quest for new knowledge.
MSU expert: How to navigate AI and social media in education
As AI-powered technologies like ChatGPT and social media increasingly making their way into our personal lives, education and workplaces, many teachers, parents and other stakeholders have questions. Here are some things to consider for the upcoming school year from Christine Greenhow, a professor in Michigan State University’s College of Education.