CIMON says: take me to space! đ.
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Finger pricks and daily insulin injections are currently the leading regimen for those with type 1 diabetes, a condition in which the bodyâs insulin producing cells beta cells are destroyed. And itâs not foolproof.
Patients can often face risks over overcorrecting their blood sugar levels, which can potentially lead to hypoglycemia â low blood sugar â and coma.
Insulin is responsible for regulating the amount of sugar in the blood, and dysfunctions with it can cause diabetes.
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In an experiment with global implications, Australian scientists have successfully wiped out more than 80% of disease-carrying mosquitoes in trial locations across north Queensland.
The experiment, conducted by scientists from the Commonwealth Scientific and Industrial Research Organization (CSIRO) and James Cook University (JCU), targeted Aedes aegypti mosquitoes, which spread deadly diseases such as dengue fever and Zika.
In JCU laboratories, researchers bred almost 20 million mosquitoes, infecting males with bacteria that made them sterile. Then, last summer, they released over three million of them in three towns on the Cassowary Coast.
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What If Earth Spun Twice as Fast
Posted in futurism
5 Incredible VR Experiences
Posted in virtual reality
An international team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby, has developed a revolutionary method that quadratically accelerates artificial intelligence (AI) training algorithms. This gives full AI capability to inexpensive computers, and would make it possible in one to two years for supercomputers to utilize Artificial Neural Networks that quadratically exceed the possibilities of todayâs artificial neural networks. The scientists presented their method on June 19 in the journal Nature Communications.
Artificial Neural Networks (or ANN) are at the very heart of the AI revolution that is shaping every aspect of society and technology. But the ANNs that we have been able to handle so far are nowhere near solving very complex problems. The very latest supercomputers would struggle with a 16 million-neuron network (just about the size of a frog brain), while it would take over a dozen days for a powerful desktop computer to train a mere 100,000-neuron network.
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