Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
A team of scientists have developed a model that can predict the likelihood of bat species carrying Ebola and other filoviruses using a machine learning algorithm. Filoviruses are a group of long filament shaped viruses that encode their genome on a single-stranded RNA. Ebola is the most well-known example; other filoviruses include Marburg disease. Both are lethal viruses that are spread by coming into contact with bodily fluids from an infected person. The last Ebola outbreak happened in 2014 and resulted in 11,310 deaths, according to the World Health Organisation.
Computer programs have defeated humans in Jeopardy!, chess and Go. Now a program developed at Case Western Reserve University has outperformed physicians on a more serious matter. The program was nearly twice as accurate as two neuroradiologists in determining whether abnormal tissue seen on magnetic resonance images (MRI) were dead brain cells caused by radiation, called radiation necrosis, or if brain cancer had returned. The direct comparison is part of a feasibility study published in the American Journal of Neuroradiology today. "One of the biggest challenges with the evaluation of brain tumor treatment is distinguishing between the confounding effects of radiation and cancer recurrence," said Pallavi Tiwari, assistant professor of biomedical engineering at Case Western Reserve and leader of the study.
Until we open our mouths to speak, it is possible for most of us to keep our thoughts to ourselves. But computers could soon be able to predict what you are thinking by looking for distinct patterns of activity in your brain that relate to sentences. Researchers have developed a computer program that is able to search for the brain activity related to certain words and then use this to predict a sentence being thought even it hasn't seen it before. Scientists have created a computer model that can predict unspoken sentences by looking at the neural activity in the brain. They say the system is able to get the predictions right around 70 per cent of the time.
Scientists and engineers led by Duke University neuroscientist Miguel A. Nicolelis report that a group of spinal-cord-injury patients who trained to walk using a brain computer interface (BCI) in combination with an Occulus Rift virtual reality device and with a robotic exoskeleton have regained the ability to voluntarily move their leg muscles and to feel touch and pain in their paralyzed limbs. The study, the results of 12 months of training, is the first long-term BCI experiment to show significant recovery from such severe injuries, the researchers say. The researchers reported their results today in the journal Scientific Reports. A non-invasive electroencephelogram-based brain computer interface was central to the therapies. During the virtual reality excercises, patients were told to imagine walking through a virtual scene.