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FORMS is a generative visual music bot.
arselectronicagardenbarcelona.org/en/
Driven by a set of rules based on randomness and probability, it can generate and endless number of graphic scores. This scores are automatically sonified thanks to spectral sound synthesis algorithms, bluring the boundaries between scores and spectrums.
The resulting graphics can be framed within the tradition of graphic notation that gained strength among twentieth-century composers (John Cage, Iannis Xenakis, Karlheinz Stockhausen, Morton Feldman, Mestres Quadreny...), and which allowed music to be released from the rigidity of classic staves.
FORMS has been "dreaming" without interruption for more than 5000 hours and streaming this visual music dreams online: www.twitch.tv/playmodes.
After a well deserved break, and for the Ars Electronica exhibition, FORMS is materialized as a "Screen Ensemble". A triptych of large format screens interpret one instrument each: Rhythm, Harmony or Texture. Thanks to its networked brain, this 3 instruments are coordinated between them, each one playing a part of a real-time generative composition which will never be repeated again.
Credit: Santi Vilanova
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FORMS es un "bot" de música visual generativa.
Conducido por un conjunto de reglas basadas en aleatoriedad y probabilidades, genera un sinfín de partituras gráficas. Estas partituras se sonifican automáticamente gracias a algoritmos de síntesis sonora, difuminando los límites entre partitura y espectrograma.
Las imágenes resultantes pueden enmarcarse dentro de la tradición de la notación gráfica que cobró fuerza entre los compositores del siglo XX (John Cage, Iannis Xenakis, Karlheinz Stockhausen, Morton Feldman, Mestres Quadreny ...), y que permitió a la música liberarse de la rigidez de los pentagramas clásicos.
FORMS ha estado "soñando" sin interrupción durante más de 2000 horas y transmitiendo estos sueños musicales visuales on-line en www.twitch.tv/playmodes.
Después de un merecido descanso, y para la exposición Ars Electronica, FORMS se materializa como un "Screen Ensemble". Un tríptico de pantallas de gran formato interpretan un instrumento cada una: Ritmo, Armonía o Textura. Gracias a su cerebro en red, estos 3 instrumentos se coordinan entre ellos, cada uno interpretando su parte de una composición generativa en tiempo real que nunca más se repetirá.
Credit: Santi Vilanova
"Tube of Mortality" exhibit containing nearly one million beads. This component for Wheaton College shows visually the probability of dying from different causes.
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Friends probability calculation is a very important topic of mathematics which plays an important role in solving statistics problems or statistical analysis. Probability is a way of telling or expressing a knowledge that an event will occur or has occurred. Probability theory plays an important role in various human activities that involves the analysis of a large set of data. The probability of an event occurring given that another event has already occurred is called a Conditional Probability. The Mathematical view of this statement comes with the following equation that an event A occurs , given that an event B is already occurred.
The Spring Valley crews continue site preparation for high probability digging that will begin in September.
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Bayes theorem gives a mathematical way to evaluate the likelihood of a hypothesis on the basis of particular evidence. More precisely, the probability of A given B equals the probability of B given A multiplied by the probability of A divided by the probability of B. Bayesian apparatus seems to account for behaviour from implicit animal cognition all the way to reflective knowledge. Thus, a bayesian approach may help explain the iterative nature of metacognition. But, can Bayesian models do all the work of human understanding and higher thought? Bayesian operations seem incommensurate with some metacognitive functions. If so, what else is there?
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Ceann Ear. Monach Isles.
The land here is so low lying and exposed to the Atlantic , the probability is that a winter storm deposited this old iron buoy on this spot.
Flood Hazard Depth Map for a "medium probability" flood event. This is a predictive flooding created from a hydrodynamic river model run for a 1% AEP (annual exceedance probability) flood event.
Knowing that in all probability this is the last good weekend before winter sets in for 6 months everyone and his brother were in Derbyshire. Luckily I managed to shoe horn my car into a car park a mile or so from the valley I wanted to explore - where the bridge in the distance leads to.
a, Calculated spin-flip transition lineshapes in the ALPHA antihydrogen trap. Transition probability (arbitrary units) is plotted versus microwave frequency. Only the trapping field inhomogeneity is considered in calculating the lineshape. b, Schematic representation of the experimental situation for the on-resonance experiments at magnetic field BA (series 1). The yellow bands represent the frequency ranges over which the microwaves are scanned. c, The situation for off-resonance experiments at magnetic field BB (series 2 and 4). d, The situation for on-resonant experiments at magnetic field BB (series 3). A two-segment frequency sweep lasting 30 s was used to apply microwave fields. This sweep was repeated six times in each trapping attempt for a total microwave application time of 180 s, beginning 60 s after the end of antihydrogen formation. In each case, the first 15-s scan covers the lower yellow band and the second 15-s scan covers the upper yellow band. The bands span 25MHz to 110MHz about the target frequency.
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How the Corps Assesses Its Long-Term Climate Forecast: The precipitation probability levels are: Above Normal (A), shown in shades of green; Below Normal (B) shown in shades of brown; and Equal Chances (EC), equal chance of (A) and (B), shown in white.
In March, the three-month outlook was for Below Normal (B) precipitation in the lower Missouri River basin and Equal Chances (EC) precipitation in the upper Missouri River basin. In April, the outlook was Equal Chance (EC) for precipitation in most of the Missouri River basin and Above Normal (A) in North Dakota and eastern Montana.
Plains Snowpack
Runoff from plains snowpack occurs throughout the Missouri River basin, including above all six Mainstem projects. That snowpack is measured in terms of Snow Water Equivalent (SWE), e.g. how many inches of water the snow equals when melted.
The plains snowpack peaked about Feb. 25, 2011. In general, the plains snowpack in 2011 was "heavy" - similar to 2010, and "very heavy" in some areas of the upper basin.
Mountain Snowpack
The Corps began evacuating floodwaters from the upper reservoirs even before the large May storms. During high water years, the rate at which floodwater is evacuated is calculated monthly, or more frequently if needed, to facilitate a smooth transition in releases.
Because the ability to evacuate water is severely restricted during the winter months, most floodwater evacuation is accomplished during the navigation season (April 1 to Dec. 1). Thus, floodwater evacuation rates are defined as an increment of release above navigation flows.
The floodwater evacuation rate is based on a computation of water supply that considers the volume of water already stored in the mainstem and tributary reservoirs and the forecast runoff for the remainder of the year. The goal is to evacuate floodwater at the lowest rate possible over a long period of time to provide flood damage reduction for downstream communities.
On April 1, the rate of flood water evacuation was set at 10,000 cfs above full service navigation flows. As the
mountain snowpack continued to climb during late April, the evacuation rate was increased to 15,000 cfs above
navigation levels on April 15, and to 25,000 cfs on May 1.
The Corps develops a basic forecast which assumes expected precipitation (snow and rain). The Corps also develops two contingency forecasts that set a plan for reservoir storage and release rates in the event of above and below expected precipitation.
More communication does not necessarily mean better communication. More communication does increase the probability of miscommunication, though.
Minimizing the Probability of Lifetime Drawdown under Constant Consumption. Angoshtari, Bayraktar, Young arxiv.org/abs/1507.08713 #q-fin
Visualization showing distance of each face on the site from a designated "high-density centers". These values are calculated within the Grasshopper definition.
Each year, my precalculus students will play Monopoly as a way of understanding probability and statistics. One of my students went a little nuts with the top hat. It reminds me of Michigan J. Frog from the old Warner Brothers cartoon. I wanted to put these three photos into one, but the computer lab at school was full all day. Not that it would help much...Photoshop confuses me.
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November 18, 2010 - "Roles for Third Parties in Improving Implementation of EPA's and OSHA's Regulations on the Management of Low-Probability, High-Consequence Process Safety Risks" - Penn Program on Regulation, in conjunction with the Wharton Risk Management Center, hosted a conference regarding the usage of third party auditors in the enforcement of regulatory safety measures in high risk industries. Industries which experts call "Low-Probability, High-Consequence," such as nuclear reactors, oil refineries, or chemical processing plants, are specifically hoped to be improved by third party inspections safety. The conference brought together numerous participants from a variety of fields, including from government, industry, insurance, academia, and non-profit sectors. The conference consisted of a day-long discussion spread over three separate panels. Over the course of the conference, participants stressed the importance of implementing a third party system to effectively and thoroughly audit industry despite lack of adequate funds and resources. Other potential scenarios offered for enacting effective third party auditing included making sure that these third party auditors were completely independent from the industries they would be inspecting so as to eliminate bias or a conflict of interest. Another issue to consider is the question of whose authority would the third party auditors be under and what kind of enforcement power would they have to enforce industry change. One of the panel discussions brought up the potential linkage of third party audits with insurance companies so as to provide an incentive for industry to decrease safety risks in order to pay lower insurance premiums. Workshop participants included Isadore "Irv" Rosenthal, a Senior Research Fellow at the Wharton Risk Management and Decision Processes Center; Howard Kunreuther, James G. Dinan Professor of Business and Public Policy at Wharton and Co-Director of the Wharton Risk Center; Laurie Miller, Senior Director of Environment and Process Safety at the American Chemistry Council; Erwann O. Michel-Kerjan, Managing Director of the Wharton Risk Management and Decision Processes Center; Scott Berger, Executive Director of the American Institute of Chemical Engineers; Don Nguyen, a Principal Process Safety Management Engineer at Siemens Energy, Inc.; Mike Marshall, Process Safety Management Coordinator at the Directorate of Enforcement Programs at the Occupational Safety and Health Administration (OSHA) within the United States Department of Labor; Cary Coglianese, Edward B. Shils Professor of Law and Professor of Political Science at the University of Pennsylvania Law School and Director of the Penn Program on Regulation; Bob Whitmore, Former Chief of OSHA Division of Recordkeeping at the United States Department of Labor; Jim Belke, Chemical Engineer at the Office of Emergency Prevention and Member of the Office of Chemical Preparedness within the U.S. Environmental Protection Agency (EPA); William Doerr, FM Global Research Area Director; Manuel Gomez, Director of Recommendations at the U.S. Chemical Safety Board; Tim Cillessen, Manager of Sales and Marketing at Siemens Energy, Inc.; Mike Wright, Director of Health, Safety, and Environment at United Steelworkers; Jennifer Nash, Affiliated Researcher of Nanotechnology and Society Research Group at Northeastern University and the Associate Director of the Mossavar-Rahmani Center for Business and Government, Executive Director of Regulatory Policy Program at Harvard Kennedy School of Government; Michael Perron, Senior Vice President of Willis Re New York.
Bernoulli Trials are the most interesting part of Mathematics. In the theory of probability and statistics, a Bernoulli trial or binomial trial is a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted. Discover the best Bernoulli Trials Online Tutorials with Extramarks. Download the app now to access the best way to understand the Bernoulli Trials.