data-modeling

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kagami / Real-Time Face Generator

Installation by @nobumichiasai can scan and recreate a human face with a mechanical pin frame and apply a projection mapped visual performance:

The face-generative mirror installation. the experience person’s face is scanned in the face scanner, 3D model data is generated on the computer. About 5000 pieces of rod are pushed out by linear actuator(motor), the three-dimensional “face” is generated in real-time. On its “face”, many electric makeup art images are projected and simulated.Theme is “beauties of nature(ka-cho-fu-getsu)“. morning glory ,bamboo, butterfly, kingfisher, japanese crested ibis, sunset, cherry blossom, gold (moon)   

Link

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OK SO… there’s a LOT of things wrong w the model/motion data combo like Reaper’s arms fuck up a LOT as you can kinda see, so I can’t do the actual whole video atm because I this is baby’s first mmd project & idk how to fix that shit yet, so instead here’s some gifs of the good part that thankfully wasn’t TOO messed up

(the motion data is ECHO by the way lmao)

time.com
This Mathematician Says Big Data Punishes Poor People
The math that determines your whole life is racist & predatory, says Cathy O'Neil

I’ve been saying this every time people talk about algorithms on this site.  Things like algorithms saying who the most attractive person is and the like.

They depend on their data.  They model the data, and assume that the data is reality, and predict that things will be more like the data in the future.

So if the crime data is racially biased, so will be the model.

independent.co.uk
Artist who made canoe modelled on her vagina arrested on obscenity
The debate about censorship and women's rights in Japan has been reignited after an artist who made a canoe modelled on her vagina was arrested for the second time on obscenity charges.

I wanted to add this onto the previous post but I still haven’t figured out how to add content to quote-posts, if such a thing is possible, so here you go. This is my favorite Japanese artist. She ended up being fined ~$50,000 CAD over 3D modelling data related to this project, which is a pile of shit, especially in a country that holds a penis festival every year. 

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ARE YOU READY GUUUYS?

Had some trouble to locate ishmaels model data - but finally I managed to!

So yeah……. all what’s left to be done is to trigger some cutscenes and record them! :DDDDD

btw, if someone’s interested in this mod, feel free to throw me a message and I’ll send you the datafiles and give you an instruction how to swap them. You’ll need the PC version of the game, of course.

nytimes.com
Data-Crunching Program Guides Santa Cruz Police Before a Crime - NYTimes.com

In July, Santa Cruz began testing the prediction method for property crimes like car and home burglaries and car thefts. So far, said Zach Friend, the police department’s crime analyst, the program has helped officers pre-empt several crimes and has led to five arrests.

Based on models for predicting aftershocks from earthquakes, it generates projections about which areas and windows of time are at highest risk for future crimes by analyzing and detecting patterns in years of past crime data. The projections are recalibrated daily, as new crimes occur and updated data is fed into the program.

The notion of predictive policing is attracting increasing attention from law enforcement agencies around the country as departments struggle to fight crime at a time when budgets are being slashed.

From Dice to Predictive Analytics

Gambling – the wagering of money or something of material value on an event with an uncertain outcome with the primary intent of winning additional money and/or material goods – has been with us since ancient times; during the Trojan War, Homer wrote about the mythological hero Palamedes – who is credited with inventing the dice – creating games of chance to entertain his troops; Greek mythology tells the story of Poseidon, Zeus and Hades dividing the world between themselves in a dice game; Poseidon won the sea, Zeus the heavens and Hades the underworld. The land, I presume, was left to the rest of us.

From these intriguing beginnings have arisen the opulent gambling temples of today; Las Vegas’s Bellagio, Palazzo and Wynn, Atlantic City’s Taj Mahal, Tropicana and Caesars, and Macau’s Venetian, Grand Lisboa, and, to, ironically, come full circle, the clumsily named casino ‘Greek Mythology’ in Taipa.

Just like executives in every other industry, today’s casino executives are faced with an inherent problem – how do I differentiate myself from my competitors when the tools I have at my disposal are basically the same industry-wide? The answer lies in business intelligence, customer intelligence, data modeling and predictive analytics. Companies now have to be smarter than their competitors in attracting, understanding and marketing to their customers. Although marketing is best when it’s subtle and it taps into a customer’s subconscious wants, desires and needs, the goal of marketing is anything but subtle, its sole objective is to generate revenue. Nothing else matters. ROI trumps all.

There is an old adage in marketing circles that says it is far more cost effective to keep a customer than to acquire a new one. On average, it takes five times as much time and money to find a new customer than it does to retain a current customer. Business intelligence, customer intelligence, data modeling and predictive analytics isn’t just about analyzing data, it is about creating a customer relationship that can be analyzed, scrutinized, and, most importantly, predictive as ROI is all about future return. These tools help predict future patterns of behavior so that a business can create a 360 degree view of its customer. This analysis can include not just a customer’s basic demographics, but also such psychological traits as his or her wants, desires and needs, thereby making any marketing offer much more enticing and, therefore, much more difficult to resist. Today, BI, CI, data modeling and customer analytics can be used to:

  • Anticipate a customer’s needs. 
  • Enhance a customer’s experience, thereby maximizing profitability. 
  • Anticipate a customer’s ultimate profitability to a business.
  • Retain existing customers while also providing knowledge to acquire new ones.
  • Provide the right offer to the right customer at the right time and at the right price.
  • Take market share away from competitors.

In the casino industry today, analytics and data modeling can be used to project the likelihood of a customer’s response to an offer based upon his or her past history, which can help identify the optimum offer to send out to that specific customer. For example, if a customer has shown a history of dining in one of the casino’s finer restaurants, he or she may not respond well to – or actually be offended by – an offer for the buffet. Logistics must also be considered. Too often marketing departments send out '2-for-1’ buffet coupons to patrons who either have to fly or drive several hours to get to that property. In these cases, the buffet offer has to be accompanied by a free hotel night or the offer’s response rates will be exceedingly low.

One key thing that must be factored into these types of analytical data models is not simply to look at whether the customer redeems the offer, but also to look at how much additional revenue the offer generates. For example, if two different patrons receive the same offer and one customer redeems it and also hits the tables and gambles extensively while the other customer just takes the free food and doesn’t generate much additional revenue, the casino will obviously value the former customer over the latter simply because he or she is bringing more revenue into the property. Models that include gambling and overall property spend can help casinos target only their most profitable customers and not waste offers – and valuable hotel rooms – on customers who, comparably, generate less than their counterparts.

Models such as these aren’t unique to the gaming industry. The financial services, telecommunications, retail, insurance and healthcare industries can all benefit from using such data modeling and analytics techniques. Based upon company customer segments and offers selected for a marketing campaign, a company can even project the anticipated redemptions and potential revenue that will be generated from a campaign before it even begins. This gives a company’s marketing department enormous leverage as they will have the opportunity to review an anticipated campaign and make adjustments to meet the desired results of the campaign before it has even started. Following the close of the campaign, an accounting report of the campaign that compares projected responses to actual responses can be generated to discover the true ROI value of the campaign. This comparison feeds into the creation of the next campaign, and so on, and so on.

There is a touch of irony in the fact that casino operators all over the world now use analytics and probability theory to increase their ROI. It was, after all, Blaise Pascal, one of the founding fathers of probability theory, who initially presented a solution to the problem of the division of stakes – how to divide the take of a card game when it is interrupted because one of the players (usually a nobleman) has to leave the game to tend to some other pressing duties. The casino industry’s need for BI, CI, data modeling and customer analytics are substantial; it is a daunting task to fill thousands of hotel rooms and hundreds of gaming tables every week, on both a customer and employee level, but the lessons learned here are not unique to the gaming industry. Customer relationship management is important to almost every industry and the lessons learned in the gaming industry should be heeded by all.