Choosing the 'right' brain-computer interface that maximizes reliability of the neural control signal and minimizes fatigue and frustration is critical. Jonathan Brumberg of the University of Kansas will present on this subject and demonstrate a variety of brain-computer interfaces Feb. 17 at the AAAS Annual Meeting in Washington, D.C.
Artificial intelligence is helping to guide and support some 50 breast cancer patients in rural Georgia through a novel mobile application that gives them personalized recommendations on everything from side effects to insurance.
Rice University statistician Genevera Allen is cautioning fellow scientists at the 2019 AAAS Annual Meeting in Washington, D.C., not to make assumptions about the accuracy, uncertainty or reproducibility of scientific discoveries made with today's machine learning models.
Like going from a pinhole camera to a Polaroid, a significant mathematical update to the formula for a popular bioinformatics data visualization method will allow researchers to develop snapshots of single-cell gene expression not only several times faster but also at much higher-resolution. Published in Nature Methods, this innovation by Yale mathematicians will reduce the rendering time of a million-point single-cell RNA-sequencing (scRNA-seq) data set from over three hours down to just fifteen minutes.
Risk Analysis, An International Journal has published a special issue, 'Social Science of Automated Driving,' which features several articles examining the human side of automated driving, focusing on questions about morality, the role of feeling, trust and risk perceptions.
Rice University researchers have created a method to design custom masks that transform 2D fluorescent microscopy images into 3D movies.
Data storage in magnetic media is very energy consuming. Novel materials could reduce the energy needed to control magnetic memories thus contributing to a smaller carbon footprint of the IT sector. Now an international team led by HZB has observed at the HZB lightsource BESSY II a new phenomenon in iron nanograins: whereas normally the magnetic moments of the iron grains are disordered at room temperature, this can be changed by applying an electric field.
Autonomous vehicles relying on light-based image sensors often struggle to see through blinding conditions, such as fog. But MIT researchers have developed a sub-terahertz-radiation receiving system that could help steer driverless cars when traditional methods fail.
A study by German scientists from Jena and Hamburg shows that artificial intelligence (AI) can substantially improve our understanding of the climate and the Earth system. Especially the potential of deep learning has only partially been exhausted so far. In particular, complex dynamic processes can be better described with the help of AI. As a result, climate and Earth system models will be improved, with new models combining AI and physical modeling.
An interdisciplinary team of researchers at NRL and the Air Force Research Laboratory have developed a way to directly write quantum light sources, which emit a single photon of light at a time, into monolayer semiconductors.