Computer science researchers at the University of Central Florida have developed a sarcasm detector.
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.
To make drugs and their development safer for children, researchers at Aalto University and the pharmaceutical company Novartis have developed a method to help determine safe drug doses more quickly. The new organ maturation model is more data-driven and consequently less prone to bias.
Researchers at UniSA have developed a world-first automated technique for simultaneously grading almond quality and detecting potentially serious mycotoxin contamination in kernels.
Researchers used microscopy and machine learning to distinguish tau protein aggregates occurring as part of healthy functions from those occurring in disease
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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.
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.
Heart disease can take a number of forms, but some types of heart disease, such as asymptomatic low ejection fraction, can be hard to recognize, especially in the early stages when treatment would be most effective. The ECG AI-Guided Screening for Low Ejection Fraction, or EAGLE, trial set out to determine whether an artificial intelligence (AI) screening tool developed to detect low ejection fraction using data from an EKG could improve the diagnosis of this condition in routine practice. Study findings are published in Nature Medicine.
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.
Researchers have developed a brain-like computing device that is capable of learning by association.
A study being presented at the virtual 2021 Annual Meeting of The Association for Research in Vision and Ophthalmology (ARVO) clarifies and further confirms the relationship between optic nerve cupping and glaucoma using unsupervised artificial intelligence (AI) techniques, unveiling component patterns.
Engineered soft autonomous materials that respond to stimuli hold great potential for a variety of applications from maintaining infrastructure to cleaning the environment.
Scientists are developing new techniques to make the most of limited data in the national security space, using explainable artificial intelligence to extract more meaning from the information in hand.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles.
The American College of Radiology® (ACR®) Data Science Institute® (DSI) and the Cancer Imaging Archive (TCIA), funded by the National Cancer Institute (NCI), have teamed up to connect use cases and datasets to speed medical imaging artificial intelligence (AI) development.
Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research led by Georgia Tech shows that, as magnetic interactions increase, dispersed “dumb robots” — dubbed BOBbots — can abruptly gather in large, compact clusters to accomplish complex tasks.
The human immune defense is based on the ability of white blood cells to accurately identify disease-causing pathogens and to initiate a defense reaction against them
The study, led by professors Michael Shafer and Heidi Feigenbaum, demonstrates that ‘cavatappi’ artificial muscles, which are based on the shape of Italian pasta, exhibit specific work and power metrics 10 and five times higher than human skeletal muscles, respectively, and up to about 45 percent efficiency.
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.
New research that garnered a Best White Paper award at the 2021 Wharton Analytics Conference shows a way to harness artificial intelligence and machine learning tools to build a more equitable workforce.
Augmented reality (AR) is a technology that superimposes virtual objects onto a live view of physical environments, helping users visualize how these objects fit into their physical world.
Exotanium, a cloud resource optimization and management company, completed a $5 million seed funding round led by Walden International and Nepenthe Capital LLC. This latest round of funding builds on an exceptional year for Exotanium, which has seen an increase in demand for cloud-optimization solutions as organizations continue to shift their operations online and search for high-quality, budget-friendly cloud management solutions.
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.
The Halal Science Center, Chulalongkorn University, would like to invite all to join the virtual conference, International Halal Science and Technology Conference (IHSATEC) 2020-2021 and 14th Halal Science Industry and Business (HASIB), on June 1-2, 2021. The conference will be carried out via Zoom from 9.00 – 16.00 hrs. (GMT+7 Bangkok time zone). All participants are to submit articles for the oral or poster presentations for the academic session of Thailand’s Halal Assembly 2021 before May 1, 2021.
Spoken dialogue is the most natural way for people to interact with complex autonomous agents such as robots
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.
As artificial intelligence has attracted interest, researchers are focused on understanding how the brain accomplishes cognition so they can construct systems with general intelligence comparable to humans' intelligence. In Applied Physics Letters, researchers propose an approach to large-scale AI that focuses on integrating photonic components with superconducting electronics; using light for communication and complex electronic circuits for computation could enable artificial cognitive systems of scale and functionality beyond what can be achieved with either light or electronics alone.
David C. Martin, the Karl W. and Renate Böer Chaired Professor of Materials Science and Engineering, has been named a 2021 Fellow of the Materials Research Society (MRS) “for the design, synthesis, and characterization of conjugated polymers for interfacing electronic biomedical devices with living tissue; and for service to the MRS and broader materials community.”
At an increasing pace, artificial intelligence technologies are taking the driver’s seat in global business, consumer engagement, military operations, health, and public institutions. What are the implications of AI for sustainability? Can/will AI (as part of innovation/digitalization) save our planet?
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.
Hertz Fellow Emma Pierson wields machine learning like a Swiss Army knife to investigate a range of problems, including disparities in COVID-19 testing, the treatment of osteoarthritis, and police discrimination.
Innovators and start-up companies working to solve national security challenges through advanced materials, advanced computing, artificial intelligence, biotechnology, and space technology are invited to apply for a two-year entrepreneurial fellowship at Los Alamos National Laboratory.
The digital revolution is built on a foundation of invisible 1s and 0s called bits. As decades pass, and more and more of the world’s information and knowledge morph into streams of 1s and 0s, the notion that computers prefer to “speak” in binary numbers is rarely questioned.
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.
Researchers at the Bloomberg Kimmel Institute for Caner Immunotherapy at the Johns Hopkins Kimmel Cancer Center have developed DeepTCR, a software package that employs deep-learning algorithms to analyze T-cell receptor (TCR) sequencing data. T-cell receptors are found on the surface of immune T cells. These receptors bind to certain antigens, or proteins, found on abnormal cells, such as cancer cells and cells infected with a virus or bacteria, to guide the T cells to attack and destroy the affected cells.
Hackensack Meridian Mountainside Medical Center is advancing the fight against breast cancer with the purchase and installation of MAMMOMAT Revelation, an innovative mammography system designed to overcome barriers to breast cancer detection and ProFound Artificial Intelligence for digital breast tomosynthesis, a deep-learning artificial intelligence software that rapidly and accurate identifies potential malignant lesions.
Video games offer students obvious respite from the stresses of studies and, now, a study from a University of Ottawa medical student has found they could benefit surgical skills training.
A University of Washington-led team has developed a method that uses the camera on a person’s smartphone or computer to take their pulse and breathing rate from a real-time video of their face.
In support of a major collaborative project to store massive amounts of data in DNA molecules, a Los Alamos National Laboratory–led team has developed a key enabling technology that translates digital binary files into the four-letter genetic alphabet needed for molecular storage.
The April edition of SLAS Technology features the cover article “Therapeutic Potential of Reactive Oxygen Species: State of the Art and Recent Advances” by Valeria Graceffa, Ph.D. (Institute of Technology Sligo, Sligo, Ireland).
Scientists at Tufts University and the University of Vermont team up to create the next version of Xenobots – tiny biological robots that self-assemble, carry out tasks, and can repair themselves. Now they can move faster, and record information.
Unbound Medicine® today announced a major upgrade to their digital publishing platform. Unbound developed Unbound Intelligence™‒ exclusive artificial intelligence and machine learning tools to help clinicians keep up to date with current research, as well as discover and fill knowledge gaps.
A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations.