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UrduComputer 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.
Tag: AI
A “Horizon Strategy” Framework for Science and Technology Policy
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.
Grant to accelerate AI materials discovery for emissions-free driving
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.
From Curb to Doorstep: Driving Efficiencies for Delivering Goods
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.
Bringing medical AI closer to reality
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.
ORNL’s Sergei Kalinin elected Fellow of the Microscopy Society of America
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.
ORNL’s superb materials expertise, data and AI tools propel progress
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.
A growing problem of ‘deepfake geography’: How AI falsifies satellite images
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.
Could Smarter Guns Be the Key To Stopping Mass Shootings and Other Violence?
“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…
New AI tool tracks evolution of COVID-19 conspiracy theories on social media
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.
Case Western Reserve awarded $3 million National Cancer Institute grant to apply AI to immunotherapy in lung cancer patients
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.
NUS researchers harness AI to identify cancer cells by their acidity
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.
FAU Unveils Center for Connected Autonomy and Artificial Intelligence
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.”
FAU Researchers Receive Prestigious NSF CAREER Awards
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.
New AI approach enables research collaboration while protecting patient privacy
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
Explainable AI: A Must for Nuclear Nonproliferation, National Security
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 Awards Arlington, MA, Based Start-up Funding for Self-Screening TSA Checkpoints
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.
GW Receives Funding to Develop Artificial Intelligence Systems Aimed at Helping People with Health Problems Drive Safely
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.
Deep learning may help doctors choose better lung cancer treatments
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.
Institutional Impacts on Enrollment from Forthcoming Demographic Cliff Will Vary Widely
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.
COVID, CAMERAS and AI: the story of a pandemic drone
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
Federal COVID-19 response taps UCI Health as a model for delivering monoclonal antibody therapy
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.
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.
‘Audeo’ teaches artificial intelligence to play the piano
A University of Washington team created Audeo, a system that can generate music using only visual cues of someone playing the piano.
Wayne State research team developing AI model to aid in early detection of SARS-CoV2 in children
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.
Free, online course brings together 20 global experts in the field of ethical AI
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.
SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now
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).
$500,000 grant funds creation of institute to advance AI for materials science
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.
Making solar power more efficient
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.
AI chess engine sacrifices mastery to mimic human play
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.
NeuroReality™: The Future of Telepresence
Dustin Tyler, Founder of Human Fusions Institute at Case Western Reserve University in Cleveland, Ohio, and Shelly Palmer, CEO of The Palmer Group, discuss Human Fusions Institute, NeuroReality™, and the future of human-tech relationships in a virtual meeting.
Artificial intelligence tool for reading MRI scans could transform prostate cancer surgery and treatment
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer.
Jefferson Lab Launches Virtual AI Winter School for Physicists
Artificial intelligence is a game-changer in nuclear physics, able to enhance and accelerate fundamental research and analysis by orders of magnitude. DOE’s Jefferson Lab is exploring the expanding synergy between nuclear physics and computer science as it co-hosts together with The Catholic University of America and the University of Maryland a virtual weeklong series of lectures and hands-on exercises Jan. 11-15 for graduate students, postdoctoral researchers and even “absolute beginners.”
Accelerating AI computing to the speed of light
A University of Washington-led team has come up with a system that could help speed up AI performance and find ways to reduce its energy consumption: an optical computing core prototype that uses phase-change material.
AI algorithms detect diabetic eye disease inconsistently
Diabetes continues to be the leading cause of new cases of blindness among adults in the United States. But the current shortage of eye-care providers would make it impossible to keep up with demand to provide the requisite annual screenings for this population. A new study looks at the effectiveness of seven artificial intelligence-based screening algorithms to diagnose diabetic retinopathy, the most common diabetic eye disease leading to vision loss.
UCI researchers create model to calculate COVID-19 health outcomes
Irvine, Calif., Dec. 17, 2020 —University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online for any healthcare organization to use. “The goal is to give an earlier alert to clinicians to identify patients who may be vulnerable at the onset,” said Daniel S.
Study Details First Artificial Intelligence Tool to Help Laboratories Rule-Out COVID-19
Hospital-based laboratories and doctors at the front line of the COVID-19 pandemic might soon add artificial intelligence to their testing toolkit. A recent study describes the performance of Biocogniv’s new AI-COVID™ software, which showed high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.
AI reveals first direct observation of rupture propagation during slow quakes
Using a trained neural network and data from the North Anatolian Fault in Turkey, a research team led by Los Alamos National Laboratory revealed the first direct observation of rupture propagation during a slow earthquake.
The Smellicopter is an obstacle-avoiding drone that uses a live moth antenna to seek out smells
A University of Washington-led team has developed Smellicopter: an autonomous drone that uses a live antenna from a moth to navigate toward smells. Smellicopter can also sense and avoid obstacles as it travels through the air.
Rutgers Expert Can Discuss AI Advances Linked to RCSB Protein Data Bank
New Brunswick, N.J. (Dec. 3, 2020) – Stephen K. Burley, director of the RCSB Protein Data Bank headquartered at Rutgers University–New Brunswick, is available for interviews on how the bank’s 50 years of data on the 3D biomolecular structures of life and artificial intelligence can lead…
Science Snapshots from Berkeley Lab
Berkeley Lab-developed machine learning tool can also calculate the optical properties of a known structure; CUORE experiment in Italy is designed to find theorized process called neutrinoless double-beta decay
Tackling Ethics Concerns Regarding Use of ‘Carebots’ to Assist Older Adults
A new analysis assesses how emerging artificial intelligence technologies can help older adults preserve their autonomy, and addresses ethical concerns that have been raised about the use of AI in so-called “carebots.”
AI Leadership for Healthcare Certificate Program Forthcoming from Maryland Smith
An 18-week-long AI Leadership for Healthcare certificate launches from the University of Maryland on Jan. 19, 2021. The fully online program requires no IT programming experience and is designed to provide a full perspective of the business of healthcare.
Think you have COVID? This camera could tell you
A key symptom of COVID-19 – oxygen saturation – is now being estimated remotely from a camera, thanks to research from University of South Australia engineers Professor Javaan Chahl, Dr Ali Al-Naji and their team of graduate students.
Machine learning model for COVID-19 drug discovery is a Gordon Bell finalist
A machine learning model developed by a team of Lawrence Livermore National Laboratory (LLNL) scientists to aid in COVID-19 drug discovery efforts is a finalist for the Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
ORNL, partners receive more than $4 million to advance AI control of complex systems
The Department of Energy’s Oak Ridge National Laboratory and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
MTRAC Innovation Hub for Advanced Computing awards $270,000 to Wayne State University artificial intelligence (AI) projects
The Michigan Translational Research and Commercialization (MTRAC) Innovation Hub for Advanced Computing at Wayne State University recently awarded a combined $270,000 in funding to three transformative innovation research projects led by Wayne State researchers. These projects aim to tackle deep technology opportunities in high impact sectors, such as artificial intelligence (AI)/machine learning, augmented reality (AR) and intelligent automation.
New Software Focuses On Better Targeting Mental Health Resources
Researchers have developed a prototype software system that aims to help policymakers and healthcare providers better address mental health challenges facing Hispanic populations across the United States.
Best 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%.
FAU Awarded U.S. Air Force Office of Scientific Research Grant to Improve Learning and Operation of AI Systems
Researchers will develop new theory and methods to curate training data sets for artificial intelligence (AI) learning and screen real-time operational data for AI field deployment. They will develop technology to identify faulty, unusual and irregular information for AI learning and operations that rely on data, and will provide critical alerts to troubleshoot a problem before it occurs. This data-quality evaluation technology is being developed for a number of industries ranging from the military to cybersecurity to medical diagnostics.