List of emerging technologies Agriculture[edit] Biomedical[edit] Displays[edit] Electronics[edit] Energy[edit] IT and communications[edit] Manufacturing[edit] Materials science[edit] Military[edit] Neuroscience[edit] Robotics[edit] Transport[edit] Other[edit] See also[edit] General Disruptive innovation, Industrial Ecology, List of inventors, List of inventions, Sustainable development, Technology readiness level Nano- Molecular manufacturing, Neurotechnology Bioscience Human Connectome Project Ethics Casuistry, Computer ethics, Engineering ethics, Nanoethics, Bioethics, Neuroethics, Roboethics Other Anthropogenics, Machine guidance, Radio frequency identification, National Science Foundation, Virtual reality Transport List of proposed future transport Further reading[edit] IEEE International Conference on Emerging Technologies and Factory Automation, & Fuertes, J. References[edit] External links[edit]
Ida Craddock Ida C. Craddock (August 1, 1857 – October 16, 1902) was a 19th-century American advocate of free speech and women's rights.[1] Early life[edit] Ida Craddock was born in Philadelphia; her father died when she was four months old. Her mother homeschooled her as an only child and provided her with an extensive Quaker education.[2] In her twenties, Craddock was recommended by the faculty for admission into the University of Pennsylvania as its first female undergraduate student after having passed the required entrance exams. In her thirties, Craddock left her Quaker upbringing behind. Writings[edit] ...one of the most remarkable human documents ever produced, and it should certainly find a regular publisher in book form. These sex manuals were all considered obscene by the standards of her day. Her writings on supernatural topics also continued throughout her life. Indictments[edit] Mass distribution of Right Marital Living through the U.S. After death[edit] References[edit] Notes Bibliography
Mind melds move from science fiction to science in rats Heuristic A heuristic technique (/hjʉˈrɪstɨk/; Greek: "Εὑρίσκω", "find" or "discover"), sometimes called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical methodology not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. Examples of this method include using a rule of thumb, an educated guess, an intuitive judgment, stereotyping, profiling, or common sense. More precisely, heuristics are strategies using readily accessible, though loosely applicable, information to control problem solving in human beings and machines.[1] Example[edit] Here are a few other commonly used heuristics, from George Pólya's 1945 book, How to Solve It:[2] Psychology[edit] Well known[edit] Lesser known[edit]
Neuroinformatics Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. Neuroinformaticians provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroscience is a heterogeneous field, consisting of many and various sub-disciplines (e.g., Cognitive Psychology, Behavioral Neuroscience, and Behavioral Genetics). In order for our understanding of the brain to continue to deepen, it is necessary that these sub-disciplines are able to share data and findings in a meaningful way; Neuroinformaticians facilitate this.[1] Neuroinformatics stands at the intersection of neuroscience and information science. There are three main directions where neuroinformatics has to be applied:[2] History[edit]
Coitus reservatus Coitus reservatus (coitus, "sexual intercourse, union" + reservatus, "reserved, saved"),[1] also known as sexual continence, is a form of sexual intercourse in which the penetrative partner does not attempt to ejaculate within the receptive partner, but instead attempts to remain at the plateau phase of intercourse for as long as possible avoiding the seminal emission. Alice Stockham coined the term karezza, derived from the Italian word "carezza" meaning "caress", to describe Coitus reservatus, but the idea was already in practice at the Oneida Community. Alan Watts believed, in error, that karezza was a Persian word.[2] The concept of karezza is loosely akin to maithuna in Hindu Tantra and Sahaja in Hindu Yoga.[3] Control of ejaculation is a key aspect of Taoist sexual practices (known as "cai Yin pu Yang" and "cai Yang pu Yin").[4] The practice of Karezza[edit] Stockham writes, "... General[edit] There is a slight difference between karezza and coitus reservatus. The Rosicrucians[edit]
A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information : Scientific Reports In our training paradigm, animals learned basic elements of the tasks prior to participating in any BTBI experiments. First, prospective encoder rats were trained to respond to either tactile or visual stimuli until they reached 95% correct trials accuracy. Meanwhile, decoder rats were trained to become proficient while receiving ICMS as a stimulus. A train of ICMS pulses instructed the animal to select one of the levers/nose pokes, whereas a single ICMS pulse instructed a response to the other option. Decoder rats reached a 78.77% ± 2.1 correct trials performance level. The next phase of training began with the encoder rat performing ~10 trials of the motor or tactile task, which were used to construct a cortical ensemble template, i.e. the mean cortical neuronal activity for one of the responses. In experiment 1 (Figure 1), encoder rats (N = 3) pressed one of two levers after an LED on top of the lever was turned on. Full size image (222 KB) Full size image (314 KB)
List of cognitive biases In psychology and cognitive science, cognitive biases are systematic patterns of deviation from norm and/or rationality in judgment.[1][2] They are often studied in psychology, sociology and behavioral economics.[1] A memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. Explanations include information-processing rules (i.e., mental shortcuts), called heuristics, that the brain uses to produce decisions or judgments. Biases have a variety of forms and appear as cognitive ("cold") bias, such as mental noise,[3] or motivational ("hot") bias, such as when beliefs are distorted by wishful thinking. There are also controversies over some of these biases as to whether they count as useless or irrational, or whether they result in useful attitudes or behavior. Estimation Association Baseline
Brain-Computer Music Interface - Hacked Gadgets - DIY Tech Blog It is hard to imagine what will be possible with direct mind control in the next dozen years. Will we be driving cars with no steering wheel? Read the research paper (warning it is a PDF). “Researchers at the University of Plymouth created this “Brain-Computer Music Interface”, which uses two laptops to analyze brain waves and composes music based on the results. The BCMI-Piano (Figure 1) falls into the category of BCI computer-oriented systems. Via: TechEBlog
Samuel Beckett One is what one is, partly at least. The only sin is the sin of being born. Samuel Beckett (13 April 1906 – 22 December 1989) was an Irish playwright, novelist, poet and winner of the 1969 Nobel Prize in Literature. He wrote mainly in English and French. Quotes[edit] If by Godot I had meant God I would have said God, and not Godot. Murphy (1938)[edit] The sun shone, having no alternative, on the nothing new. Grove Press, 1994, ISBN 0-802-15037-3 The sun shone, having no alternative, on the nothing new.Part I (p. 1) Watt (1943)[edit] It is rare that the feeling of absurdity is not followed by the feeling of necessity … it is rare that the feeling of necessity is not followed by the feeling of absurdity. Grove Press, 1959, ISBN 0-394-17216-7 God is a witness that cannot be sworn.Part I (p. 4)The long blue days, for his head, for his side, and the little paths for his feet, and all the brightness to touch and gather. The Expelled (1946)[edit] They were most correct, according to their god.
Earthquake algorithm picks up the brain's vibrations There are better ways to shake up your brain (Image: Federica Rainò/Getty) Your brain is buzzing. Analysing those natural vibrations might help spot tumours and other abnormalities, and now an algorithm normally used to study earthquakes has been adapted to do just that. The elasticity of different parts of the body is a useful way to tell if something is wrong. It is more difficult to measure the elasticity of the brain. Catheline’s team, and others around the world, have been working on a way to use modified MRI scanners to measure brain elasticity. Shake it up But such devices haven’t made it to the clinic yet, in part because they aren’t very comfortable to use, says Catheline. Now Catheline is trying another approach. The idea came to Catheline after he spent time working with seismologists, who study how to extract information from the seismic waves created by earthquakes. The body’s noise
Shoe Lacing Methods Mathematics tells us that there are more than 2 Trillion ways of feeding a lace through the six pairs of eyelets on an average shoe. This section presents a fairly extensive selection of 50 shoe lacing tutorials. They include traditional and alternative lacing methods that are either widely used, have a particular feature or benefit, or that I just like the look of. 50 Different Ways To Lace Shoes Criss Cross Lacing This is probably the most common method of lacing normal shoes & boots. Over Under Lacing This method reduces friction, making the lacing easier to tighten and loosen plus reducing wear and tear. Gap Lacing This simple variation of Criss Cross Lacing skips a crossover to create a gap in the middle of the lacing, either to bypass a sensitive area on the instep or to increase ankle flexibility. Straight European Lacing This traditional method of Straight Lacing appears to be more common in Europe. Straight Bar Lacing Hiking / Biking Lacing Quick Tight Lacing Ukrainian Lacing- New!
Biological neural network In neuroscience, a biological neural network (sometimes called a neural pathway) is a series of interconnected neurons whose activation defines a recognizable linear pathway. The interface through which neurons interact with their neighbors usually consists of several axon terminals connected via synapses to dendrites on other neurons. If the sum of the input signals into one neuron surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon. In contrast, a neural circuit is a functional entity of interconnected neurons that is able to regulate its own activity using a feedback loop (similar to a control loop in cybernetics). Early study[edit] Connections between neurons[edit] The connections between neurons are much more complex than those implemented in neural computing architectures. Connections display temporal and spatial characteristics. Representations in neural networks[edit] Study methods[edit]
Color theory In the visual arts, color theory is a body of practical guidance to color mixing and the visual effects of a specific color combination. There are also definitions (or categories) of colors based on the color wheel: primary color, secondary color and tertiary color. Although color theory principles first appeared in the writings of Leone Battista Alberti (c.1435) and the notebooks of Leonardo da Vinci (c.1490), a tradition of "colory theory" began in the 18th century, initially within a partisan controversy around Isaac Newton's theory of color (Opticks, 1704) and the nature of so-called primary colors. From there it developed as an independent artistic tradition with only superficial reference to colorimetry and vision science. Color abstractions[edit] The foundations of pre-20th-century color theory were built around "pure" or ideal colors, characterized by sensory experiences rather than attributes of the physical world. Thus, the visual impact of "yellow" vs. Achromatic colors[edit]