systems

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study published in Radiology: Artificial Intelligence. "This is the first study to address the most common intracranial tumors and to directly determine the tumor … [Read more...] about Deep learning model classifies brain tumors with single MRI scan

Brain-computer interfaces (BCIs) are emerging assistive devices that may one day help people with brain or spinal injuries to move or communicate. BCI systems depend on implantable sensors that record electrical signals in the brain and use those signals to drive external devices like computers or robotic prosthetics. Most current BCI systems use one or two sensors to sample up … [Read more...] about Toward next-generation brain-computer interface systems

A new strategy for modeling the spread of COVID-19 incorporates smartphone-captured data on people's movements and shows promise for aiding development of optimal lockdown policies. Ritabrata Dutta of Warwick University, U.K., and colleagues present these findings in the open-access journal PLOS Computational Biology. Evidence shows that lockdowns are effective in mitigating … [Read more...] about A mobility-based approach to optimize pandemic lockdown strategies: New method for modeling COVID-19 spread incorporates real-time data on people’s movements

Right now, there is a good chance your phone is tracking your location -- even with GPS services turned off. That's because, to receive service, our phones reveal personal identifiers to cell towers owned by major network operators. This has led to vast and largely unregulated data-harvesting industries based around selling users' location data to third parties without … [Read more...] about Is your mobile provider tracking your location? New technology could stop it

Newcastle University research offers important insights into how we could turn to DNA into a green-by-design data structure that organises data like conventional computers. The team, led by researchers from Newcastle University's School of Computing, created new dynamic DNA data structures able to store and recall information in an ordered way from DNA molecules. They also … [Read more...] about New study shows the potential of DNA-based data-structures systems

An anticounterfeiting smart label and security platform which makes forgery fundamentally impossible has been proposed. The device accomplishes this by controlling a variety of information of light including the color, phase, and polarization in one optical device. A POSTECH research team -- led by Professor Junsuk Rho of departments of mechanical engineering and chemical … [Read more...] about Impenetrable optical OTP security platform: Research team develops a pixelated metasurface for an optical security platform

Researchers from King's College London have created a novel interactive VR system to be used by patients when undertaking an MRI. In a new paper published in Scientific Reports, the researchers say they hope this advancement will make it easier for those who find having a MRI scan challenging such as children, people with cognitive difficulties or those who suffer from … [Read more...] about A novel virtual reality technology to make MRI a new experience

If you follow autonomous drone racing, you likely remember the crashes as much as the wins. In drone racing, teams compete to see which vehicle is better trained to fly fastest through an obstacle course. But the faster drones fly, the more unstable they become, and at high speeds their aerodynamics can be too complicated to predict. Crashes, therefore, are a common and often … [Read more...] about System trains drones to fly around obstacles at high speeds

From lake-draining drought in California to bridge-breaking floods in China, extreme weather is wreaking havoc. Preparing for weather extremes in a changing climate remains a challenge, however, because their causes are complex and their response to global warming is often not well understood. Now, Stanford researchers have developed a machine learning tool to identify … [Read more...] about Researchers use artificial intelligence to unlock extreme weather mysteries

Building prediction models for high entropy alloys (HEAs) using material data is challenging, as datasets are often lacking or heavily biased. Now, researchers have developed a new evidence-based recommender system that determines various element combinations for potential HEAs. Unlike conventional data-driven techniques, this method has the added ability to recommend potential … [Read more...] about Building blocks: New evidence-based system predicts element combination forming high entropy alloy: New method overcomes the drawbacks typically associated with data-driven methods such as data bias and poor availability