A multidisciplinary team from Northwestern University and the Georgia O'Keeffe Museum in Santa Fe, New Mexico has diagnosed the strange paint disease causing Georgia O'Keeffe's paintings to deteriorate. The micron-sized protrusions are metal soaps, resulting from a chemical reaction between the metal ions and fatty acids commonly used as binder in paints.
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.
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.
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.
In a paper published today in Science Robotics, engineers at Brigham Young University detail new technology that allows them to build complex mechanisms into the exterior of a structure without taking up any actual space below the surface. This new class of mechanisms, called 'developable mechanisms,' get their name from developable surfaces, or materials that can take on 3-D shapes from flat conformations without tearing or stretching, like a sheet of paper or metal.
Desert ants are extraordinary solitary navigators. Researchers at CNRS and Aix-Marseille University, in the Institut des Sciences du Mouvement -- Étienne Jules Marey (ISM), were inspired by these ants as they designed AntBot, the first walking robot that can explore its environment randomly and go home automatically, without GPS or mapping. This work, published on Feb. 13, 2019, in Science Robotics, opens up new strategies for navigation in autonomous vehicles and robotics.
The study, published in Science Robotics, is a collaboration between The BioRobotics Institute (Scuola Superiore Sant'Anna, Pisa, Italy) and the Australian Centre for Robotic Vision (Queensland University of Technology, Brisbane, Australia).
Dartmouth researchers have developed and evaluated a machine learning approach of using patient core needle biopsy data to identify the risk that atypical ductal hyperplasia (ADH) breast lesions may upgrade to cancer. This knowledge can potentially help clinicians and low-risk patients decide whether active surveillance and hormonal therapy is a reasonable management approach. Using the method could spare patients with benign lesions from invasive surgeries while maintaining high sensitivity for predicting malignant lesions.
New system of 'strain engineering' can change a material's optical, electrical, and thermal properties.