The first astronomers had a limited toolkit: their eyes. They could only observe those stars, planets and celestial events bright enough to pick up unassisted. But today's astronomers use increasingly sensitive and sophisticated instruments to view and track a bevy of cosmic wonders, including objects and events that were too dim or distant for their sky-gazing forebears.
WASHINGTON, DC -- Advanced prosthetic limbs and eyes as well as brain-machine interfaces are harnessing existing neural circuitry to improve the quality of life for people with sensory impairment, according to studies presented today at Neuroscience 2017, the annual meeting of the Society for Neuroscience and the world's largest source of emerging news about brain science and health.
Electrical engineers at the University of California San Diego have developed a faster collision detection algorithm that uses machine learning to help robots avoid moving objects and weave through complex, rapidly changing environments in real time. The algorithm, dubbed "Fastron," runs up to 8 times faster than existing collision detection algorithms.
Researchers at Queen's University Belfast together with the University of Vienna have discovered that treatment for the antibiotic resistant bacteria Klebsiella pneumoniae could lie within our bodies' natural defences.
Multidrug resistance of microbes poses a serious global threat to human health. Globally, 700,000 people die every year due to antimicrobial resistance.
LA JOLLA, Calif. -- Nov. 14, 2017 -- Scientists have performed a successful test of a possible new drug in a mouse model of an autism disorder. The candidate drug, called NitroSynapsin, largely corrected electrical, behavioral and brain abnormalities in the mice.
NitroSynapsin is intended to restore an electrical signaling imbalance in the brain found in virtually all forms of autism spectrum disorder (ASD).
Technology developed at the University of Waterloo is paving the way for artificial intelligence (AI) to break free of the internet and cloud computing.
New deep-learning AI software produced with that technology is compact enough to fit on mobile computer chips for use in everything from smartphones to industrial robots.
That would allow devices to operate independent of the internet while using AI that performs almost as well as tethered neural networks.
ARLINGTON HEIGHTS, IL (Nov. 14, 2017) - Those who treat patients suffering with severe asthma know how frustrating it can be to try to get the disease under control - despite the introduction in recent years of both biologics and bronchial thermoplasty. These treatments have proven effective, but require an understanding of all that is involved before being prescribed or recommended.
People who overdose on paracetamol could be helped by a blood test that shows immediately if they are going to suffer liver damage.
Researchers say the test - which detects levels of specific molecules in blood - will help doctors identify which patients arriving in hospital need more intense treatment.
It will also help speed the development of new therapies for liver damage by targeting patients most likely to benefit.
The test detects three different molecules in the blood that are associated with liver damage - called miR-122, HMGB1 and FL-K18.
CAMBRIDGE, MA -- Researchers at MIT and Paris Descartes University have developed a new optogenetic technique that sculpts light to target individual cells bearing engineered light-sensitive molecules, so that individual neurons can be precisely stimulated.
BEER-SHEVA, Israel, November 13, 2017 - Ben-Gurion University of the Negev (BGU) researchers have achieved a breakthrough in manipulating light to render an object, such as an optical chip, invisible.
According to the recent study published in Nature Scientific Reports, the researchers conceived a new method that deflects and scatters light away from a "cloaking" chip surface so it is not detected.