Researchers have correlated information on drugs, genes and diseases to identify potential candidates for psychiatric and neurological treatment. The methodology they developed will be used to search for drugs against COVID-19.
Fake audio or video content has been ranked by experts as the most worrying use of artificial intelligence in terms of its potential applications for crime or terrorism, according to a new UCL report.
Results from a recent study -- a collaboration between Lehigh University, Lehigh Valley Cancer Institute, and Pennsylvania State University -- demonstrates the potential for a new method of detecting circulating tumor cells. Unlike existing methods, which rely on an expensive and time-consuming process that involves labelling antibodies with fluorescence, this technique uses a powerful label-free detection method.
At Japan Advanced Institute of Science and Technology, researchers have successfully established relationships between games and law of motions in mind through analogy of physics and game refinement theory.
Skoltech scientists have shown that quantum-enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a "fertile ground to develop computational insights into quantum systems".
'Julich-Brain' is the name of the first 3D-atlas of the human brain that reflects the variability of the brain's structure with microscopic resolution.
Research led by the University of East Anglia (UEA) has revealed the daily habits of the endangered Mediterranean sperm whale. The recordings confirmed the whales' widespread presence in the north-western Mediterranean Sea and identified a possible hotspot for sperm whale habitat in the Gulf of Lion, as well as different foraging strategies between different areas.
An Italian-American research conducted by researchers at the IIT-Istituto Italiano di Tecnologia (Italian Institute of Technology) in Rovereto (Italy) and Harvard University in Boston (Usa) explains for the first time the mechanisms used by our brain to recognize specific smells. Thanks to this result, researchers will be able to think about the realization of an artificial sense of smell, to be transferred to robots and other intelligent machines in the future.
A research team from Japan has developed a single-camera machine vision algorithm, making it possible for lightweight hovering indoor robots to guide themselves by identifying and interpreting reference points on a tiled floor. The technology opens the door to a new breed of functional, low-cost drones with potentially wide-ranging uses.
A pair of researchers at the University of California, Riverside, has used machine learning to understand what a chemical smells like -- a research breakthrough with potential applications in the food flavor and fragrance industries.