Researchers Show How You Can Be Tracked Through Your Location DataNews
A new study by MIT researchers finds that the growing practice of compiling massive, anonymized datasets about people’s movement patterns is a double-edged sword: While it can provide deep insights into human behavior for research, it could also put people’s private data at risk.
Seeing Stress With SupercomputersNews
It's easy to take a lot for granted. Scientists do this when they study stress, the force per unit area on an object. Scientists handle stress mathematically by assuming it to have symmetry, but new supercomputer simulations show that at the atomic level, material stress doesn't behave symmetrically. The findings could help scientists design new materials such as glass or metal that doesn't ice up.READ MORE
Deep learning techniques have helped researchers at Tel Aviv University streamline the process of designing and characterizing basic nanophotonic, metamaterial elements, which could help these materials realize their potential in application from remote nanoscale sensing to energy harvesting and medical diagnostics.READ MORE
A ‘brain training’ app developed at the University of Cambridge could help people who suffer from obsessive compulsive disorder (OCD) manage their symptoms, which may typically include excessive handwashing and contamination fears.
Computer bits are binary, with a value of 0 or 1. By contrast, neurons in the brain can have all kinds of different internal states, depending on the input that they received. This allows the brain to process information in a more energy-efficient manner than a computer. A new study hopes to bring the two closer together.
Upon implementing electronic medical record-based interventions, Boston Medical Center reduced unnecessary diagnostic testing and increased the use of postoperative order sets, two markers of providing high-value medical care.
MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets, while keeping the data private. Secure computation done at such a massive scale could enable broad pooling of sensitive pharmacological data for predictive drug discovery.
The architecture of each person’s brain is unique, and differences may influence how quickly people can complete various cognitive tasks.o learn more, scientists are developing a new tool — computational models of the brain — to simulate how the structure of the brain may impact brain activity and, ultimately, human behavior.READ MORE
Based on an analysis of data leakages and opportunities to prevent the potential misuse of genetic information, researchers have developed a new file format for functional genomics data that enables data sharing while protecting the personal information of research participants.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.