Now in 3D: Deep learning techniques help visualize X-ray data in three dimensions

A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Department of Energy awards $4.15 million to Argonne to support collaborations with industry

The U.S. Department of Energy has awarded $4.15 million to Argonne National Laboratory to support collaborations with industry aimed at commercializing promising energy technologies.

Novel Method Predicts if COVID-19 Clinical Trials Will Fail or Succeed

Researchers are the first to model COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning. They collected 4,441 COVID-19 trials from ClinicalTrials.gov to build a testbed with 693 dimensional features created to represent each clinical trial. These computational methods can predict whether a COVID-19 clinical trial will be completed or terminated, withdrawn or suspended. Stakeholders can leverage the predictions to plan resources, reduce costs, and minimize the time of the clinical study.

Liquid Metal Sensors and AI Could Help Prosthetic Hands to ‘Feel’

Prosthetics currently lack the sensation of “touch.” To enable a more natural feeling prosthetic hand interface, researchers are the first to incorporate stretchable tactile sensors using liquid metal and machine learning. This hierarchical multi-finger tactile sensation integration could provide a higher level of intelligence for artificial hands by improving control, providing haptic feedback and reconnecting amputees to a previously severed sense of touch.

Scientists use artificial intelligence to detect gravitational waves

Researchers at Argonne have used artificial intelligence to dramatically reduce the time it takes to process data coming from the Laser Interferometer Gravitational-Wave Observatory.

Did your plastic surgeon really turn back the clock? Artificial intelligence may be able to quantify how young you actually look after facelift surgery

For most patients, the reasons for having a facelift are simple: to “turn back the clock” for a younger and more attractive appearance. Even during the pandemic year 2020, more than 234,000 patients underwent facelift surgery, according to American Society of Plastic Surgeons (ASPS) statistics.

Disaster Response and Mitigation in an AI World

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.

Intelligence-Sharing Tools Will Enable Smarter Devices

In the not-so-distant future, artificial intelligence and machine learning tasks will be carried out among connected devices through wireless networks, dramatically enhancing the capabilities of future smartphones, tablets, and sensors, and achieving what’s known as distributed intelligence. As technology stands right now, however, machine learning algorithms are not efficient enough to be run over wireless networks and wireless networks are not yet ready to transmit this type of intelligence.

PNNL AI Expert Harnesses Open-Source Data to Understand Human Behavior

PNNL researchers used natural language processing and deep learning techniques to reveal how and why different types of misinformation and disinformation spread across social platforms. Applied to COVID-19, the team found that misinformation intended to influence politics and incite fear spreads fastest.

Rapid exclusion of COVID-19 infection using AI, EKG technology

Artificial intelligence (AI) may offer a way to accurately determine that a person is not infected with COVID-19. An international retrospective study finds that infection with SARS-CoV-2, the virus that causes COVID-19, creates subtle electrical changes in the heart. An AI-enhanced EKG can detect these changes and potentially be used as a rapid, reliable COVID-19 screening test to rule out COVID-19 infection.

Study Identifies How COVID-19 Linked to Alzheimer’s Disease-like Cognitive Impairment

A new Cleveland Clinic-led study has identified mechanisms by which COVID-19 can lead to Alzheimer’s disease-like dementia. The findings, published in Alzheimer’s Research & Therapy, indicate an overlap between COVID-19 and brain changes common in Alzheimer’s, and may help inform risk management and therapeutic strategies for COVID-19-associated cognitive impairment.

DOE scientists deploy creativity, speed to disrupt COVID-19

An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.

Department of Energy Announces $1 Million in Collaborative Funding for Privacy-Preserving Artificial Intelligence Research

Today, the U.S. Department of Energy (DOE) announced $1 million for collaborations in privacy-preserving artificial intelligence research. The aim of this funding is to bring together researchers from the DOE National Laboratories and the National Institutes of Health (NIH) to jointly develop new flagship datasets and privacy-preserving methods and algorithms to improve healthcare.

Medical AI models rely on ‘shortcuts’ that could lead to misdiagnosis of COVID-19 and other diseases, UW researchers find

University of Washington researchers discovered that AI models ignored clinically significant indicators on X-rays and relied instead on characteristics such as text markers or patient positioning that were specific to each dataset to predict whether someone had COVID-19.

Argonne researchers using artificial intelligence to shape the future of science

Artificial intelligence is being called “the next generation of the way we do science.” At Argonne, researchers are leveraging the lab’s state-of-the-art-facilities and unparalleled expertise to shape the very future of science.

Maximizing cancer survival, minimizing treatment side effects with AI

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.

Study of AI-enabled EKGs finds that a difference between numerical age and biological age significantly affects health, longevity

You might be older ― or younger ― than you think. A new study found that differences between a person’s age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity.

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.

Helping companies use high-performance computing to improve U.S. manufacturing

Argonne is helping U.S. companies solve pressing manufacturing challenges through an innovative program that provides access to Argonne’s world-class computing resources and technical expertise.

Using artificial intelligence to recover energy, nutrients and freshwater from municipal wastewater

The Department of Energy has awarded Argonne and partners $2 million to develop an artificial intelligence-assisted system for energy, nutrient and freshwater recovery from municipal wastewater.

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.

Bioenergy expert available: Meltem Urgun-Demirtas, Argonne National Laboratory

Argonne engineer Meltem Urgun-Demirtas leads the Bioprocesses and Reactive Separations group at Argonne, where she brings more than 20 years of diverse experience in waste and water treatment, biofuels production and materials synthesis for energy and environmental applications. Working with…

Icahn School of Medicine at Mount Sinai Unveils New PhD Concentration in Artificial Intelligence and Emerging Technologies in Medicine

The Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai will offer a new PhD concentration in Artificial Intelligence and Emerging Technologies in Medicine (AIET) as part of its PhD in Biomedical Sciences program. Hayit Greenspan, PhD and Alan C. Seifert, PhD are the newly appointed AIET Co-Directors. Application will be open from late August through December 1, 2021 for enrollment in the fall of 2022.

8 Things Argonne is Doing to Save the Earth

Stepping into their superhero gear, Argonne scientists are using science and the world’s best technology to combat some of Earth’s toughest foes, from pollution to climate change.

Evolution Sets the Stage for More Powerful Spiking Neural Networks

Spiking neural networks (SNNs) closely replicate the structure of the human brain, making them an important step on the road to developing artificial intelligence. Researchers recently advanced a key technique for training SNNs using an evolutionary approach. This approach involves recognizing and making use of the different strengths of individual elements of the SNN.