New award-winning research from the Cornell Ann S. Bowers College of Computing and Information Science explores how to help nonexperts effectively, efficiently and ethically use machine-learning algorithms to better enable industries beyond the computing field to harness the power of AI.
An expert in applying artificial intelligence (AI) to problems in animal ecology at Rensselaer Polytechnic Institute will join a team of researchers in a new $20 million National Science Foundation (NSF) Artificial Intelligence Research Institute announced on Thursday.
The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego.
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.
The COVID-19 outbreaks in Thailand have seen an ever-increasing number of infections as new clusters are emerging. The faculty members of Sasin School of Management — Prof. Dr. Kua Wongboonsin, Asst. Prof. Dr. Piyachart Phiromswad, Assoc. Prof. Dr. Pattanaporn Chatjuthamard, Asst. Prof. Dr. Pattarake Sarajoti, and Asst. Prof. Dr. Sabin Srivannaboon, with financial support from the National Research Council of Thailand (NRCT), jointly present ways to reduce the spread of COVID-19 sustainably in a study to identify technologies that can instantly and appropriately help professionals who find social distancing difficult.
New study of artificial intelligence tools that analyze tumor images shows how they can make inaccurate predictions based on the institution that submitted the image
With the support of a prestigious $542,813 National Science Foundation Faculty Early Career Development (CAREER) grant, physicist Trevor David Rhone is turning to artificial intelligence to help determine which combination of elements might form new materials with interesting properties for advancing both scientific understanding and technological applications, such as data storage, spintronics, and quantum computing.
New Columbia Engineering study unveils a computer vision technique for giving machines a more intuitive sense for what will happen next by leveraging higher-level associations between people, animals, and objects.“Our algorithm is a step toward machines being able to make better predictions about human behavior, and thus better coordinate their actions with ours,” said Computer Science Professor Carl Vondrick. “Our results open a number of possibilities for human-robot collaboration, autonomous vehicles, and assistive technology.”
Chulalongkorn University’s Faculty of Engineering and the Faculty of Arts have jointly developed the “Thai Speech Emotion Recognition Data Sets and Models”, now available for free downloads, to help enhance sales operations and service systems to better respond to customers’ needs.
DHS SBIR Program recently awarded funding to two small businesses to develop non-contact, inexpensive machine learning training and classification technologies.
PNNL researchers are expanding PNNL’s operational Rapid Analytics for Disaster Response (RADR) image analytics and modeling suite to predict the path of fires, floods and other natural disasters, giving first responders an upper hand. The suite utilizes a combination of image-capturing technology (satellite, airborne, and drone images), artificial intelligence, and cloud computing, to not only assess damage but predict it as well.
Israeli scientists have demonstrated a novel means of diagnosing tuberculosis by means of a sticker patch that catches compounds released by the skin. Using an artificial intelligence (AI) analysis of these compounds, the scientists were able to provide a quick, non-invasive diagnosis.
UW researchers have developed a deep learning method that can produce a seamlessly looping, realistic looking video from a single photo.
UC San Diego School of Medicine researchers discovered gene expression patterns associated with pandemic viral infections, providing a map to help define patients’ immune responses, measure disease severity, predict outcomes and test therapies — for current and future pandemics.
The Mount Sinai Hospital is ranked No. 1 in the New York City metropolitan area and No. 4 globally among the most technologically advanced health care institutions on Newsweek’s list of “The World’s Best Smart Hospitals 2021.”
DHS S&T partnered with the Johns Hopkins University Applied Physics Laboratory and Think-A-Move to develop Automated Speech Recognition technology.
The impact of deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients.
A team of NIH microscopists and computer scientists used a type of artificial intelligence called a neural network to obtain clearer pictures of cells at work even with extremely low, cell-friendly light levels.
Long interested in interactions between robots and humans, Columbia Engineering researchers have created EVA, a new autonomous robot with a soft and expressive face that responds to match the expressions of nearby humans. “The idea for EVA took shape a few years ago, when my students and I began to notice that the robots in our lab were staring back at us through plastic, googly eyes,” said Prof Hod Lipson, who led the team.
Computer scientists at the University of Illinois Chicago are developing a computational artificial intelligence system they hope will serve as a decision support tool for doctors prescribing treatment for head and neck cancer. The work is supported by a $2.8 million grant from the National Institutes of Health.
The current U.S. innovation model has in multiple respects fallen short in the face of today’s technology competition challenges. MITRE calls for a national-level effort between government, industry, and academia to address the most critical S&T priorities.
Cornell University is partnering in a $36 million grant from the Toyota Research Institute (TRI) for its Accelerated Materials Design and Discovery (AMDD) collaborative university research program, which seeks to use artificial intelligence to discover new materials that could help achieve emissions-free driving.
In a collaboration between Pacific Northwest National Laboratory and the University of Washington’s Urban Freight Lab, a prototype webapp has been developed that combines smart sensors and machine learning to predict parking space availability. The prototype is ready for initial testing to help commercial delivery drivers find open spaces without expending fuel and losing time and patience.
For AI to continue to transform cancer diagnoses, researchers will have to prove that the success of their machine-learning tools can be reproduced from site to site and among different patient populations. Biomedical engineering researchers at Case Western Reserve University say they doing just that. They say they have demonstrated that their novel algorithms for distinguishing between benign and malignant lung cancer nodules on CT scan images from one site can now be successfully reproduced with patients from other sites and locations.
Sergei Kalinin, a scientist and inventor at the Department of Energy’s Oak Ridge National Laboratory, has been elected a Fellow of the Microscopy Society of America professional society.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Using satellite photos of three cities and drawing upon methods used to manipulate video and audio files, a team of researchers led by the University of Washington set out to identify new ways of detecting fake satellite photos and warn of the dangers of falsified geospatial data.
“Gun violence in this country is an epidemic, and it’s an international embarrassment,” President Biden recently said. At least 45 mass shootings have occurred in America in the last month, according to reports. In the same time period, news of…
A new machine-learning program accurately identifies COVID-19-related conspiracy theories on social media and models how they evolved over time—a tool that could someday help public health officials combat misinformation online.
Medical researchers from Case Western Reserve University, New York University (NYU), and University Hospitals have been awarded a five-year, $3 million National Cancer Institute grant to develop and apply artificial intelligence (AI) tools for predicting which lung cancer patients will respond to immunotherapy.
Healthy and cancer cells can look similar under a microscope. One way of differentiating them is by examining the level of acidity, or pH level, inside the cells. Tapping on this distinguishing characteristic, a research team from the National University of Singapore (NUS) has developed a technique that uses artificial intelligence (AI) to determine whether a single cell is healthy or cancerous by analysing its pH. Each cancer test can be completed in under 35 minutes, and single cells can be classified with an accuracy rate of more than 95 per cent.
To rapidly advance the field of artificial intelligence and autonomy, FAU’s College of Engineering and Computer Science recently unveiled its “Center for Connected Autonomy and Artificial Intelligence.”
Two researchers from FAU’s College of Engineering and Computer Science have received the coveted National Science Foundation (NSF) Early Career (CAREER) awards totaling more than $1 million. Xiangnan Zhong, Ph.D. and Zhen Ni, Ph.D., assistant professors in the Department of Computer and Electrical Engineering and Computer Science, received the NSF CAREER awards to drive the current artificial intelligence (AI) wave.
Dr. Corey Arnold and his graduate student, Karthik Sarma, explain how federated learning can enable more powerful AI models while enhancing the protection of patient data
Understanding the choices and recommendations of artificial intelligence systems is crucial, especially when the stakes are high, as they are with national security issues like nuclear nonproliferation. A PNNL team is using explainable AI to further the effectiveness of AI systems.
DHS S&T SVIP announces $199,950 in Phase 1 funding to Lauretta AI, LLC, a start-up based in Arlington, Massachusetts, to adapt their video analytic solution to meet TSA’s needs.
Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.
Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
The “birth dearth” of the 2008 economic recession means fewer students will graduate from high school through at least 2032, draining college enrollments and revenues. Admissions research firm, Othot, published a report analyzing how this might affect 454 colleges and universities. As an example, the University of Chicago and the University of Illinois – Chicago which are in the same region, will experience the national and regional declines differently because of where they recruit.
As the COVID-19 death toll mounts and the world hangs its hopes on effective vaccines, what else can we do to save lives in this pandemic? In UniSA’s case, design world-first technology that combines engineering, drones, cameras, and artificial intelligence to monitor people’s vital health signs remotely.
In 2020 the University of South Australia joined forces with the world’s oldest commercial drone manufacturer, Draganfly Inc, to develop technology which remotely detects the key symptoms of COVID-19 – breathing and heart rates, temperature, and blood oxygen levels.
Within months, the technology had moved from drones to security cameras and kiosks, scanning vital health signs in 15 seconds and adding social distancing software to the mix.
In September 2020, Alabama State University became the first higher education institution in the world to use the technology to spot COVID-19 symptoms in its staff and students and enforce social distancing, ensuring they had one of the l
Irvine, Calif., Feb. 9, 2021 — Monoclonal antibodies are showing promise for improving outcomes for COVID-19 patients, but when a hospital is already beyond capacity, administering them can be a challenge. As hospitalizations soared across California, clinicians with UCI Health created a system for delivering monoclonal antibodies that is keeping hospital beds available for patients with the greatest need.
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.
A University of Washington team created Audeo, a system that can generate music using only visual cues of someone playing the piano.
Currently, there are no methods to discern the spectrum of COVID-19’s severity and predict which children with SARS-CoV-2 exposure will develop severe illness, including MIS-C. Because of this, there is an urgent need to develop a diagnostic modality to distinguish the varying phenotypes of disease and risk stratify disease.
A new, free, online course, AI Ethics: Global Perspectives, which started this week, designed for a global audience, seeks to bring together diverse perspectives from the field of ethical AI, to raise awareness and help institutions work towards more responsible use.
The February edition of SLAS Technology is a special collection of articles focused on “Artificial Intelligence in Process Automation” by Guest Editor Cenk Ündey, Ph.D. (Amgen, Thousand Oaks, CA, USA).
Funds from an NSF $500,000 grant will be used to bring together an interdisciplinary team of researchers with complementary expertise in artificial intelligence (AI) and material science to lay the groundwork for an AI-Enabled Materials Discovery, Design, and Synthesis (AIMS) Institute.
Case Western Reserve University computer scientists and energy technology experts are teaming up to leverage the diagnostic power of artificial intelligence (AI) to make solar-power plants more efficient.
A team of computer scientists has developed an artificially intelligent chess engine that doesn’t necessarily seek to beat humans – it’s trained to play like a human.