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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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

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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.

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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.

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$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.

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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.

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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.”

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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.

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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.

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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.

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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

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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

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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.

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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.

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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.

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AI gets a boost via LLNL, SambaNova collaboration

Lawrence Livermore National Laboratory (LLNL) has installed a state-of-the-art artificial intelligence (AI) accelerator from SambaNova Systems, the National Nuclear Security Administration (NNSA) announced today, allowing researchers to more effectively combine AI and machine learning (ML) with complex scientific workloads.

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Scientists voice concerns, call for transparency and reproducibility in AI research

In an article published in Nature on October 14, 2020, scientists at Princess Margaret Cancer Centre, University of Toronto, Stanford University, Johns Hopkins, Harvard School of Public Health, Massachusetts Institute of Technology, and others, challenge scientific journals to hold computational researchers to higher standards of transparency, and call for their colleagues to share their code, models and computational environments in publications.

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