Most Parents Welcome Use of AI in Pediatric Emergency Department, But Reservations Remain

Parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the Emergency Department (ED), according to a survey from Ann & Robert H. Lurie Children’s Hospital of Chicago. However, some demographic subgroups (non-Hispanic Black and younger age parents) had greater reservations about the use of these technologies. These findings point to the importance of involving a broad representation of parents from the earliest stages of development of AI systems for pediatric healthcare. The study was published in the journal Academic Pediatrics.

DeepGI AI – A Thai Innovation for the Precision in Colorectal Polyp Detection

Chula Engineering and Chula Medicine co-invent an innovative device for a rapid gastrointestinal cancer detection that yields accurate results hoping to foster preventive medicine in gastrointestinal malignancy and reduce the number of cancer patients.

AI Could Predict Ideal Chronic Pain Patients for Spinal Cord Stimulation

Spinal cord stimulation is a minimally invasive FDA-approved treatment to manage chronic pain such as back and neck pain. The ability to accurately predict which patients will benefit from this treatment in the long term is unclear and currently relies on the subjective experience of the implanting physician. A study is the first to use machine-learning algorithms in the neuromodulation field to predict long-term patient response to spinal cord stimulation.

PSC and Partners to Lead $7.5-Million Project to Allocate Access on NSF Supercomputers

The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.

Pain in the Neck? New Surgical Method Could be Game-changing

Anterior cervical discectomy and fusion is widely used to treat spinal disorders. The fusion involves placing a bone graft or “cage” and/or implants where the surgically removed damaged disc was originally located to stabilize and strengthen the area. The risk factors for cage migration are multifactorial and include patient, radiological characteristics, surgical techniques and postoperative factors. A study is the first to evaluate the effect of the range of motion, cage migration and penetration using variable angle screws and cervical spine models. The plate developed and tested by the researchers provided directional stability and excellent fusion, showing promising clinical outcomes for patients with degenerative cervical spine disease.

Engineering Researchers Receive $1 Million NSF Grant for First Networked-AI Testbed

Just like humans, autonomous robots need to communicate with one another to learn together and to accomplish a team mission such as search and rescue. Researchers are developing the nation’s first-of-its-kind testbed platform that connects robots using high-frequency radio waves (30 to 300 gigahertz). The robots will be able communicate at ultra-high speeds of gigabits per second by forming and directing ‘beams’ toward each other that also will enable them to see through objects as needed. They will see what the other robots are sensing in real-time, resulting in five times the eyes thanks to the nearly instantaneous exchange of high volumes of data.

Key to resilient energy-efficient AI/machine learning may reside in human brain

A clearer understanding of how a type of brain cell known as astrocytes function and can be emulated in the physics of hardware devices, may result in artificial intelligence (AI) and machine learning that autonomously self-repairs and consumes much less energy than the technologies currently do, according to a team of Penn State researchers.

Turn Your Free Time into Income with “Wang”, An AI/ML Platform by Chula Students

How wonderful would it be if we can make money in our free time while helping researchers enhance AI efficiency at the same time? This is the idea that came to the mind of two young engineers from Chulalongkorn University who successfully developed ‘Wang’ (Free), a multi-award-winning platform that matches your free time with business opportunities and creates benefits for society. Various innovation awards guarantee the platform is the best startup.

Do Passengers Want Self-driving Cars to Behave More or Less Like Them?

Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.

Artificial Intelligence aids in discovery of new prognostic biomarkers for breast cancer

Scientists at Case Western Reserve University have used Artificial Intelligence (AI) to identify new biomarkers for breast cancer that can predict whether the cancer will return after treatment—and which can be identified from routinely acquired tissue biopsy samples of early-stage breast cancer.

NSF makes $20 Million investment in Optimization-focused AI Research Institute led by UC San Diego

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.

Appropriate Technologies: The COVID-19-Era Heroes Yet to Come to “Center Stage”

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.

Harnessing AI To Search for New Materials With Exotic Properties

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.

AI Learns to Predict Human Behavior from Videos

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.”

Human Voice Recognition AI Now a reality — “Thai Speech Emotion Recognition Data Sets and Models” Now Free to Download

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.

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.

AI Predicts How Patients with Viral Infections, Including COVID-19, Will Fare

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 Recognized as No. 4 on Newsweek’s World’s Best Smart Hospital 2021 List

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.”

The Robot Smiled Back

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.

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.

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.

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.

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.