“HUBERT AIRY first became aware of his affliction in the fall of 1854, when he noticed a small blind spot interfering with his ability to read. “At first it looked just like the spot which you see after having looked at the sun or some bright object,” he later wrote. But the blind spot was growing, its edges taking on a zigzag shape that reminded Airy of the bastions of a fortified medieval town. Only, they were gorgeously colored. And they were moving.
“All the interior of the fortification, so to speak, was boiling and rolling about in a most wonderful manner as if it was some thick liquid all alive,” Airy wrote. What happened next was less wonderful: a splitting headache, what we now call a migraine.”
Powerful advances in genome sequencing technology, informatics, automation, and artificial intelligence, have propelled humankind to the threshold of a new beginning in understanding, utilizing, and conserving biodiversity. For the first time in history, it is possible to efficiently sequence the genomes of all known species, and to use genomics to help discover the remaining 80 to 90 percent of species that are currently hidden from science.
(Phys.org)—A team of researchers with the University of Côte d’Azur in France has found that drops ejected by an oscillating surface can at times travel faster than the surface that ejected them. In their paper published in the journal Physical Review Letters, the team describes experiments they conducted by flinging water from a superhydrophobic surface and what they found.
We investigate the behavior of droplets and soft elastic objects propelled with a catapult. Experiments show that the ejection velocity depends on both the projectile deformation and the catapult acceleration dynamics. With a subtle matching given by a peculiar value of the projectile/catapult frequency ratio, a 250% kinetic energy gain is obtained as compared to the propulsion of a rigid projectile with the same engine. This superpropulsion has strong potentialities: actuation of droplets, sorting of objects according to their elastic properties, and energy saving for propulsion engines.
Transit visibility zones of the Solar system planets
R. Wells K. Poppenhaeger C. A. Watson R. Heller
Monthly Notices of the Royal Astronomical Society, Volume 473, Issue 1, 1 January 2018, Pages 345–354, https://doi.org/10.1093/mnras/stx2077
Published: 14 August 2017 Article history
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The detection of thousands of extrasolar planets by the transit method naturally raises the question of whether potential extrasolar observers could detect the transits of the Solar system planets. We present a comprehensive analysis of the regions in the sky from where transit events of the Solar system planets can be detected. We specify how many different Solar system planets can be observed from any given point in the sky, and find the maximum number to be three. We report the probabilities of a randomly positioned external observer to be able to observe single and multiple Solar system planet transits; specifically, we find a probability of 2.518 per cent to be able to observe at least one transiting planet, 0.229 per cent for at least two transiting planets, and 0.027 per cent for three transiting planets. We identify 68 known exoplanets that have a favourable geometric perspective to allow transit detections in the Solar system and we show how the ongoing K2 mission will extend this list. We use occurrence rates of exoplanets to estimate that there are 3.2 ± 1.2 and
temperate Earth-sized planets orbiting GK and M dwarf stars brighter than V = 13 and 16, respectively, that are located in the Earth’s transit zone.
Lex Fridman, MIT, shows how one day your (semi-)autonomous vehicle may ask you to take over if you’re distracted too much, e.g. by texting instead of driving.
Introducing our shared autonomy research vehicle with a demo of voice-based transfer of control based on whether the driver is paying attention to the road and on risk factors detected in the external environment. Our work aims to reimagine the self-driving car as a shared autonomy system built around the human being. Paper describing key ideas will be out shortly.
First Man to Walk on the Moon but rejected for a credit card in 1974
Along with the rejection letter, the Diners Club sent back the $15 check that Neil Armstrong had included with his application for the credit card.
Actual letter to be sold as part of an auction by the Neil Armstrong family . A batch of about 800 items will be sold on Nov. 1 and 2 in Dallas. As a preview, some will be on exhibit Oct. 1-5 2018 at Heritage Auctions in Manhattan.
Nicole Hone, an industrial designer based in Wellington, New Zealand.
Hydrophytes is a series of futuristic aquatic plants created with multi-material 3D printing. The project explores the design and choreography of movement to bring objects to life through 4D printing. The film is true to life with no effects added in post-processing.
“The team has created a first-of-its-kind algorithm that can interpret and accurately reproduce images seen or imagined by a person,” wrote Alexandru Micu in ZME Science.
Their paper, “Deep image reconstruction from human brain activity,” is on bioRxiv. The authors are Guohua Shen, Tomoyasu Horikawa, Kei Majima, and Yukiyasu Kamitani.
Vanessa Ramirez, associate editor of Singularity Hub, was one of several writers on tech watching sites who reported on the study. The writers noted that this would mark a difference from other research involved in deconstructing images based on pixels and basic shapes.
“Trying to tame a computer to decode mental images isn’t a new idea,” said Micu. “However, all previous systems have been limited in scope and ability. Some can only handle narrow domains like facial shape, while others can only rebuild images from preprogrammed images or categories.”
What is special here, Micu said, is that “their new algorithm can generate new, recognizable images from scratch.”
The study team has been exploring deep image reconstruction. Micu quoted the senior author of the study. “We believe that a deep neural network is good proxy for the brain’s hierarchical processing,” said Yukiyasu Kamitani.
Overview of deep image reconstruction is shown. The pixels’ values of the input image are optimized so that the DNN features of the image are similar to those decoded from fMRI activity. A deep generator network (DGN) is optionally combined with the DNN to produce natural-looking images, in which optimization is performed at the input space of the DGN. Credit: bioRxiv (2017). DOI: 10.1101/240317
Machine learning-based analysis of human functional magnetic resonance imaging (fMRI) patterns has enabled the visualization of perceptual content. However, it has been limited to the reconstruction with low-level image bases (Miyawaki et al., 2008; Wen et al., 2016) or to the matching to exemplars (Naselaris et al., 2009; Nishimoto et al., 2011). Recent work showed that visual cortical activity can be decoded (translated) into hierarchical features of a deep neural network (DNN) for the same input image, providing a way to make use of the information from hierarchical visual features (Horikawa & Kamitani, 2017). Here, we present a novel image reconstruction method, in which the pixel values of an image are optimized to make its DNN features similar to those decoded from human brain activity at multiple layers. We found that the generated images resembled the stimulus images (both natural images and artificial shapes) and the subjective visual content during imagery. While our model was solely trained with natural images, our method successfully generalized the reconstruction to artificial shapes, indicating that our model indeed reconstructs or generates images from brain activity, not simply matches to exemplars. A natural image prior introduced by another deep neural network effectively rendered semantically meaningful details to reconstructions by constraining reconstructed images to be similar to natural images. Furthermore, human judgment of reconstructions suggests the effectiveness of combining multiple DNN layers to enhance visual quality of generated images. The results suggest that hierarchical visual information in the brain can be effectively combined to reconstruct perceptual and subjective images.
Episteme Spacecraft Project & Molecular Historicism
In 2010 I wrote a satire piece about the determinisms of religion and science entitled “How to make a spacecraft” where I proposed the fundamentals of the Episteme Spacecraft Project and the three tests.
The idea is that we could take the life specific data of a living organism and correlate it with its DNA and form a database with as many species as possible and in turn when looking at a new organism (even an alien organism) we could program that database to produce a DNA from other life specific data. The connection point of data from data is symbiosis and the aim is to employ the DNA as a symbiosis based operating system that has ability to convert different types of life specific data to each other.
In this e-book you will also find my philosophical reasoning that I call Molecular Historicism as a basis for and as a result of the Episteme Spacecraft project. Molecular Historicism refers to DNA as the primary element because DNA refers to molecule as future action, as life. I think that every living thing has an individual reality of time and life could be considered the potential of every atom. As such we could talk about a unified field & time of life in the universe pulsing to a universal symbiosis.
Table of Contents
Episteme Spacecraft Project 1) What am I doing here, the undertaking; Visions of the Future from Biological Sciences 2) An Introductive Summary Correspondence with the Editor of Journal of Cosmology 3) The First Test; The Biological Pi Research Related to Approach and Logic of Relation DNA to Image An Example of Correlation of Image to Sound The use of DNA for Purposes other than interaction within the cell DNA imaged with electron microscope for the first time 4) The Second Test; DNA of Earth The Approximation Life Possible Frequency Isolation; DNA of Earth Research Related to Approach and Logic of Relation NASA Earth Science Data Using satellite images to detect cellular organisms Using satellite images to detect bark beetle outbreaks in forests Spectral band discrimination for species observed from hyperspectral remote sensing Example of Reverse Engineering Project Working With Biological Data 5) The Third Test; Standard Deviation for Planets Standard Deviation for a Specific Planet or Moon The Biological Pi; Perfecting the DNA of Earth Symbiosis; The Premise of the Episteme Spacecraft Thesis 6) Blueprint for a Consortium 7) Forum Entries Molecular Historicism The Foundations of the Idea of Molecular Historicism What is life? What is nature? What is the body and particularly the human body? The Critical Applications of the Idea of Molecular Historicism Prof. Stephen Hawking and the question of the brain as a machine Thinking together with life; Justice for the Scope of Life The Question of Entropy; what is Entropy to Life? The boundaries of the body and the reaches of the atomic body Genetically Modified Organisms (GMO’s) Naturality of Nature The Nature Shaped by Humans The Particle Collusion Experiments at LHC at CERN Naturality of Nature The Nature Shaped by Humans A new fate; so where is free will? The Biological Efficiency & Value of Evolution & Reasons for Biomimicry A Hum in a Roaring World