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Blog – Page 10024

That’s what we are after, with AI. Understanding intelligence in machines, animals and humans, is one of the great scientific challenges of our times and building intelligent machines is one of the greatest technological challenges of our times. No single entity in industry, academia or public research has a monopoly on the good ideas that will achieve these goals. It’s going to take the combined effort of the entire research community to make progress in the science and technology of intelligence.

Facebook is taking an unusual recruitment model championed in law and medicine and applying it to artificial intelligence — and it’s working.

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Data collected from the Gemini South telescope in Chile has shed light on a nearly-200-year-old stellar eruption.

Gemini spectroscopy shows that ejected material from the blast was the fastest ever seen from a star that remained intact.

Imagine traveling from Earth to the Moon in 20 seconds. That is how quickly material from the 170-year-old explosion scurried away from unstable star Eta Carinae, according to the Gemini Observatory.

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The British government is preparing to launch its first commercial rocket from the country by 2021, and has upped its funding and partnerships with American companies to do so, reports CNBC.

The details: Lockheed Martin has already been allotted the largest chunk of UKSA’s (United Kingdom Space Agency) funding, receiving over $30 million “to develop an orbital launch site for small rockets in Melness, Scotland.” The company told CNBC, “[t]he launcher will be a flight-proven, dedicated small sat vehicle.” Richard Branson’s Virgin Orbit also locked in a deal with UKSA “to launch its LauncherOne rocket from Cosmic Girl,” and plans to be the first to launch a commercial rocket from the island in the next three years.

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In Machine Learning one of the biggest problem faced by the practitioners in the process is choosing the correct set of hyper-parameters. And it takes a lot of time in tuning them accordingly, to stretch the accuracy numbers.

For instance lets take, SVC from well known library Scikit-Learn, class implements the Support Vector Machine algorithm for classification which contains more than 10 hyperparameters, now adjusting all ten to minimize the loss is very difficult just by using hit and trial. Though Scikit-Learn provides Grid Search and Random Search, but the algorithms are brute force and exhaustive, however hyperopt implements distributed asynchronous algorithm for hyperparameter optimization.

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Researchers from St Petersburg’s ITMO University in Russia and Laser Zentrum Hannover in Germany have discovered a fascinating phenomenon regarding the design of the Great Pyramid of Giza.

A theoretical investigation published in the Journal of Applied Physics on July 20 2018 reveals the chambers within the Great Pyramid can “collect and concentrate electromagnetic energy.” Scientists looked at the “excitation of the pyramid’s electromagnetic dipole and quadrupole moments,” or the combinations of outgoing and incoming electromagnetic waves, to determine its capacity for electromagnetic focus. Using numerical simulations to deduce their findings, the research team found that under certain conditions, the pyramid’s internal chambers and the area under its base (where the third, unfinished chamber is located) can concentrate this energy.

Modern physics has provided unprecedented insight into the secrets of the pyramids, which were constructed around 2560 BC. For instance, cosmic ray-based imaging (also known as muon tomography) has been used to see further into the depths of these ancient structures, illuminating a previously unknown “large void” that humans haven’t encountered in several millennia.

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When we think of wind turbines, the first thing that usually comes to mind is the typical Sim City-esque type – 3 blades, gigantic, and wired into the municipal power grid. In truth, the world of wind power generation is far more varied indeed – as [Vittorio]’s vertical-axis wind turbine shows us.

So what exactly is a vertical-axis wind turbine, you ask? Well, rather than the typical setup with blades rotating about a horizontal axis, as in typical utility turbines or a classic electric fan you might use to cool off on a sunny day, instead a vertical axis is used. This necessitates a very different blade design due to the orientation of the rotational axis relative to the flow, so such turbines can be quite visually striking to those unfamiliar with such designs.

[Vittorio]’s design is a great way to get to grips with the type. The blades and supports were initially created out of PVC gutter channel, though 3D printed versions have also been developed. The motion is turned into electricity by using a simple brushed DC motor as a dynamo.

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Evolutionary theory predicts that reproduction entails costs that detract from somatic maintenance, accelerating biological aging. Despite support from studies in human and non-human animals, mechanisms linking ‘costs of reproduction’ (CoR) to aging are poorly understood. Human pregnancy is characterized by major alterations in metabolic regulation, oxidative stress, and immune cell proliferation. We hypothesized that these adaptations could accelerate blood-derived cellular aging. To test this hypothesis, we examined gravidity in relation to telomere length (TL, n = 821) and DNA-methylation age (DNAmAge, n = 397) in a cohort of young (20–22 year-old) Filipino women. Age-corrected TL and accelerated DNAmAge both predict age-related morbidity and mortality, and provide markers of mitotic and non-mitotic cellular aging, respectively. Consistent with theoretical predictions, TL decreased (p = 0.031) and DNAmAge increased (p = 0.007) with gravidity, a relationship that was not contingent upon resource availability. Neither biomarker was associated with subsequent fertility (both p 0.3), broadly consistent with a causal effect of gravidity on cellular aging. Our findings provide evidence that reproduction in women carries costs in the form of accelerated aging through two independent cellular pathways.

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