#algorithm flopped successfully

[loverboydotcom]

also waking up realising I posted an excerpt that I didn’t really want to post in hindsight but it’s okay bc this sites algorithm is so fucking bad barely anyone saw it 👍

[forcedcompanionsdaycare]

Forced Companions Daycare, 003

On WEDNESDAYS, FCD is staffed by T7-01 and SCORPIO.

SCORPIO, emerging from the supply closet: T7. We have run out of diapers and kolto packs. T7-01: Running out = strange // T7-01 = bought some last week SCORPIO, shrugging: I have no doubt that Khem Val's violence on Monday and Tuesday depleted our supplies. T7-01: SCORPIO = probably right // T7-01 = talk to Khem about that // now T7-01 = go get more supplies T7-01 hurries out. SCORPIO: That has worked for twelve weeks in a row. His learning algorithms are...inadequate. Now, children. I will award a cookie to the one who most successfully asserts dominance. Proceed. BABY ELARA: Miss SCORPIO, isn't this unethical? Forcing us into senseless violence and brutal competition for nothing but your own amusement? SCORPIO: Not my amusement. For science. BABY ELARA: Science is mean and probably ought to have more regulations. SCORPIO: Your attempt to assert ethical standards is simply another behavior I expected to observe in this experiment. I predict you will fail to achieve your goals with it. BABY SKADGE tackles BABY ELARA from behind and starts punching her. SCORPIO: Like that. BABY CORSO, sailing in out of nowhere: You leave her alone! BABY CORSO and BABY ELARA wrestle with BABY SKADGE for a minute or two. BABY SKADGE: Grr. I'm bored. Bye now. Meanwhile, from the sidelines... BABY VECTOR: This is not harmonious. BABY QUINN: I agree. We should try to stop hostilities at once, for the common good. Why don't you convince everyone you can to go play quietly with their toys over there. BABY QUINN observes the main melee. He sometimes leans in to quietly manipulate the other children's flailing limbs, ensuring that BABIES KALIYO, JORGAN, XALEK, KIRA, and PIERCE get a roughly equal amount of punishment. He monitors BABIES TEMPLE, JAESA, and TALOS to make sure they're targets of aggression, too. When BABY TEMPLE is close to extricating herself from the violence, BABY QUINN directs a frustrated BABY SKADGE her way. BABY VECTOR assembles BABIES ELARA, CORSO, GUSS, and ASHARA by the toy bin. They discuss ways of ensuring a viable long-term peace for all. Except BABY GUSS, who mostly cowers. The melee continues: BABY JORGAN: Forex chant, everybody! BABY CORSO: We don't want to have to fight - BABY JORGAN: But by jingo, if we do - BABY CORSO: We've got the ships - BABY JORGAN: I've got the claws - BABY KIRA, recovering from a bad hit and toddling back into the fray: We've got the Jedi, too! BABY PIERCE: Psht. Imperial chant, everybody! BABIES PIERCE, TEMPLE, and XALEK: Submit or be crushed! BABY KIRA: That's less catchy. BABY PIERCE: And yet surprisingly effective. BABY QUINN places a couple of kicks to slow down BABY KALIYO and BABY XALEK, who weren't as bruised as the others yet. He watches and waits for a while. BABY XALEK, flopping down in defeat: Jerkfaces. BABY QUINN: That's nearly enough. Miss SCORPIO, I find myself standing between those too cowardly to fight and those too injured to keep fighting for long. Name an appropriate expression of dominance and it would seem I am in a position to execute it. BABY PIERCE: Execute this! *throws a terrified BABY TALOS at him* BABY TALOS and BABY QUINN collapse in a heap of fear and indignance. SCORPIO: How interesting. It seems not everyone was too injured to keep fighting. BABY QUINN, flat on his back: Yes. I could probably have planned this better. SCORPIO: Do not become discouraged, little one. You will eventually learn to plan appropriately. Or you will die. BABY ELARA: There has got to be some kind of rule against child care providers like you. SCORPIO: None that anyone has successfully enforced. Now, Pierce. I believe you have earned a cookie.

[byunbaekby]

chapter 3 is not showing up in tags and i’m cry

[dominoqq03-blog]

Just how to Win Money Using a Genuine Poker Online Strategy

One of the most lucrative approach of poker online approach is to play making use of the knowledge of the video game to get a benefit or edge against your challengers. Experienced and also specialist gamers employ this technique to raise their bankroll and win more frequently. Picking which style of play you want to integrate right into your game to hone your poker online method as well as skills might be the distinction between being a winning player as well as ending up being a pokersite deposit junkie. This article will certainly examine an approach of poker online method to assist enhance your video game.

Initially, you should recognize what it is you are up against when you play online. Your main challenger is the software itself, given that usually, online-poker uses a lot of poker algorithms, software program randomizers, as well as other techniques that are NOT in use in a real-time game. As a result of the software that can in fact produce draw-heavy boards as well as action causing hands, you need to choose your areas as well as readjust your poker online strategy even more thoroughly than you would in a in online game.

The various other opponent that you are up against is the multitude of inexperienced and brand-new gamers that do not understand the data, the odds, as well as the possibility of the game. Consequently, your game needs to have a strong technique in order to come to be successful. The absence of a good poker online method will unavoidably create you to lose a fair bit of cash and also obviously put you on tilt! When creating a poker online method to boost your game, you want to try and also take as several advantages as feasible. True chances of the video game are rather skewed by the pokersites software application and also randomization.

In the instance of pocket Aces losing to KJ offsuit will take place about 12% of the time in an online game. Nonetheless, online, this exact same circumstance (and also probabilities) will not use. The determination of KJ winning versus the pocket Aces is chosen by a consecutive Dominoqq formula that is part of the software program. Simply put, it makes little distinction as to the strength of your hand pre-flop; rather the choosing element on whether you win or lose is based mostly on those formulas.

That is exceptional for your real-time video game if you have spent several hrs learning the chances and determining your chances of winning with particular hands. It has little result on the outcome in an online video game. It is much better to learn HOW poker algorithms work as well as include that right into your poker online technique in order to successfully win online.

Paul Westin is an expert Poker player and has actually written numerous publications and short articles in trade magazines about poker, including the honor winning Online Poker Code. Find out more about the software program as well as programs that manage internet poker as well as how to obtain an edge. Discover the The PokerStars Code to see just how you can come to be a specialist and profitable poker player online! Boost your expert poker career with your complimentary copy of the eBook, How to Succeed as a Professional Online Poker Player. Gain comprehensive strategies and also techniques for winning online poker. The book includes poker approach as well as understandings from numerous online poker specialists.

[ultra-maha-us]

Just how to Win Income Utilizing a Real Poker Online Strategy

The absolute most lucrative approach to poker on line strategy is always to perform utilising the intelligence of the overall game to get an edge or side against your opponents. Skilled and professional participants employ this approach to boost their bankroll and gain more often.

Selecting which design of perform you need to incorporate into your sport to hone your poker on line strategy and skills can function as the difference between being a successful player and becoming a pokersite deposit junkie. This short article can examine a method of poker on line strategy to greatly help enhance your game.

Your Competitors

First, you have to realize what it's you are against when you perform online. Much of your opponent is the application it self, since usually, online-poker uses a big number of poker calculations, application randomizers, and different techniques that are NOT in used in a stay game. Due to the application that could really produce draw-heavy boards and action causing hands, you have to pick your areas and regulate your poker on line strategy a lot more carefully than you'd in a in stay game.

Another opponent that you're against may be the large number of inexperienced and new participants that do perhaps not realize the statistics, the odds, and the pkv poker probability of the game. Thus, your sport will need to have a solid strategy in order to become successful. The lack of an excellent poker on line strategy can certainly trigger you to lose a lot of income and of course put you on point!

Your Method for Online Poker Strategy

When formulating a poker on line strategy to enhance your sport, you intend to take to and take as many advantages as possible. Keeping in mind that true odds of the overall game are relatively skewed by the pokersites application and randomization.

For instance, in the case of pocket Aces dropping to KJ offsuit can occur about 12% of the time in a stay game. But, on line, this same situation (and odds) won't apply. The dedication of KJ earning contrary to the pocket Aces is decided by a consecutive poker algorithm that is the main software. In other words, it makes small difference as to the strength of your give pre-flop; fairly the choosing component on whether you gain or eliminate is based largely on these algorithms.

If you have spent many hours learning the odds and calculating your probabilities of earning with specific hands, that is exemplary for the stay game. But, it's small influence on the outcome in an on line game. It is better to learn HOW poker calculations function and put that into your poker on line strategy in order to successfully gain online.

Paul Westin is a professional Poker player and has published several books and posts in deal publications about poker, such as the award earning Online Poker Code. Find out more about the application and programs that get a handle on internet poker and how to get an edge. Uncover the The PokerStars Signal to see how you can turn into a profitable and professional poker player on line!

[tossacointoyourarchivist]

I'm curious about this and have been flip-flopping on it for a while now so I think I might as well ask the all-knowing internet but here specifically

Is making a writing instagram worth the trouble?

I'm allergic to instagram and facebook tbh but I really want to spread my name a bit since right now the only people supporting my p*treon are my two partners (whom i love dearly and their support is still meaningful it's just,,, hard to bring much to the table financially when the ten bucks a month i make come from their income)

Right now I use tumblr, wordpress, and twitter for marketing/general interaction with readers (eventually gonna post some writing to wordpress for free reading- all of which will be sfw, but that’s gonna take a bit to get set up).

Twitter hasn't brought me much luck but i think that's more on me since I don't post a whole lot- which honestly might be the case with instagram or facebook should i choose to use them (assuming the algorithms don’t flat out bury my shit when i do post, but that’s a rant for a different day)

Not only that but the content I post to p*treon is pretty explicit, so would i even be able to market to other platforms?

I tried using a search engine to answer this, but i’m beginning to suspect that certain search engines have incentive to push results that insist these platforms are worth the trouble, i just have to be fresh and business-savvy about it? Idk, social media marketing isn’t my strong suit if that isn’t obvious by now

Perhaps I’m aiming too low but honestly, a few more followers who weren’t originally following me from here or Twitter would be a success in my book. Even just one or two, I’d be really grateful that someone liked my stuff enough to follow me

TL;DR - Indie authors of tumblr, have you been able to successfully reach out to a larger audience by making an Instagram or Facebook page? 

[dominobet12-blog]

How to Win Money Using a Genuine Poker Online Strategy

Quite possibly the most lucrative method of poker online strategy is to play using the learning ability of the game to gain an advantage or edge against your personal opponents. Experienced and professional players employ this method to expand their bankroll and win more often. Choosing which sort of play you wish to incorporate into your game to hone your individual poker online strategy and skills could be the difference between becoming winning player and becoming a pokersite deposit junkie. This post will examine a method of poker online strategy to help improve your game. Your Enemies First, you must recognize what it is you are up against as you play online. Your primary opponent is the software itself, seeing that typically, online-poker uses a large number of poker algorithms, software randomizers, and other methods that are NOT in use in a live game. A result of software that can actually create draw-heavy boards and thing inducing hands, you must choose your spots and correct your poker online strategy even more carefully than you would in a very in live game. The other opponent that you are up against would be the multitude of inexperienced and new players that do not be aware of statistics, the odds, and the probability of the game. Therefore , your game must have a solid strategy in order to become successful. The lack of a good on line poker online strategy will inevitably cause you to lose quite a bit of money and definitely put you on tilt! Your Formula for Online Poker Plan When formulating a poker domino bet strategy to improve your game, you should try and take as many advantages as possible. Keeping in mind that a fact odds of the game are somewhat skewed by the pokersites software programs and randomization. For example , in the case of pocket Aces losing towards KJ offsuit will occur about 12% of the time within the live game. However , online, this same scenario (and odds) will not apply. The determination of KJ winning against the very pocket Aces is decided by a sequential poker algorithm which may be part of the software. In other words, it makes little difference as to the robustness of your hand pre-flop; rather the deciding factor with whether you win or lose is based largely for those algorithms. If you have spent many hours learning the odds and even calculating your probabilities of winning with certain possession, that is excellent for your live game. However , it has minimal effect on the outcome in an online game. It is better to learn HOW texas hold'em algorithms work and add that into your poker online strategy so that they can successfully win online.

[agencmc52]

How to Win Money Using a Genuine Poker Online Strategy

Quite possibly the most lucrative method of poker online strategy is to play using the learning ability of the game to gain an advantage or edge against your personal opponents. Experienced and professional players employ this method to expand their bankroll and win more often. Choosing which sort of play you wish to incorporate into your game to hone your individual poker online strategy and skills could be the difference between becoming winning player and becoming a pokersite deposit junkie. This post will examine a method of poker online strategy to help improve your game. Your Enemies First, you must recognize what it is you are up against as you play online. Your primary opponent is the software itself, seeing that typically, online-poker uses a large number of poker algorithms, software randomizers, and other methods that are NOT in use in a live game. A result of software that can actually create draw-heavy boards and thing inducing hands, you must choose your spots and correct your poker online strategy even more carefully than you would in a very in live game. The other opponent that you are up against would be the multitude of inexperienced and new players that do not be aware of statistics, the odds, and the probability of the game. Therefore , your game must have a solid strategy in order to become successful. The lack of a good on line poker online strategy will inevitably cause you to lose quite a bit of money and definitely put you on tilt!  Your Formula for Online Poker Plan When formulating a poker online strategy to improve your game, you should try and take as many advantages as possible. Keeping in mind that a fact odds of the game are somewhat skewed by the pokersites software programs and randomization. For example , in the case of pocket Aces losing towards KJ offsuit will occur about 12% of the time within the live game. However , online, this same scenario (and odds) will not apply. The determination of KJ winning against the very pocket Aces is decided by a sequential poker algorithm which may be part of the software. In other words, it makes little difference as to the robustness of your hand pre-flop; rather the deciding factor with whether you win or lose is based largely for those algorithms. If you have spent many hours learning the odds and even calculating your probabilities of winning with certain possession, that is excellent for your live game. However , it has minimal effect on the outcome in an online game. It is better to learn HOW texas hold'em algorithms work and add that into your poker online strategy so that they can successfully win online. poker online Paul Westin is a professional Poker audio device and has written several books and articles in swap magazines about poker, including the award winning Online Poker Code. Study more about the software and programs that control internet poker as well as how to gain an edge. Discover the The PokerStars Code to see the very best become a profitable and professional poker player online!

[williamexchange]

Seven technology and marketing predictions from the 2010s that aged badly

We’re fast approaching the end of 2019, which aside from being the end of a year (with all of the traditional reflection and future-gazing that that entails) is also the end of a decade – which of course makes it a perfect time to look back on the last ten years and take stock of where we’re at.

A lot can happen in ten years, and the early 2010s were a pretty different time. The internet landscape was very different, social media was different, technology was in a different place, and marketing techniques and best practices in 2010 definitely looked different to what you would see today.

To put it into perspective, 2010 was the year that Apple released the iPad and just three years after the release of the iPhone. Twitter had been around for four years, Facebook for six, and Instagram launched in October of that year. We were still a year away from the launch of Snapchat, four years away from the launch of the Amazon Echo, and six years away from the adoption of the EU’s General Data Protection Regulation. A lot of the things that would shape the technology and marketing landscape as we know it today had yet to even come into existence.

As a result, many of the predictions about what the future would look like in the 2010s have turned out, in hindsight, to be hilariously off the mark. I should qualify this by saying that there are also a lot of predictions (of the many I read when researching this) that turned out to be surprisingly accurate, or that emerged in a slightly different form but were broadly correct even if some of the details varied.

But it’s also pretty funny to look back at some of the trends we thought would completely dominate the decade and realise, Wow, we were way off. It’s also interesting to look at why that was, and how things played out instead. So, here are seven marketing and technology-related predictions from the 2010s that have aged, in hindsight, pretty badly.

1. “QR codes will be the future of mobile marketing”

I had to start off with the big one – probably the most memorable and most-ridiculed fad of the early 2010s, and the one that will go down in marketing history as a spectacular flop: QR codes, those blocky, black-and-white (or sometimes creatively-patterned) squares of code that when scanned with your phone would take you to a webpage.

QR codes were first invented in 1994 by Japanese company Denso Wave, and they had a couple of different moments in the limelight, but Peak Hype for QR codes (at least in the west) was probably 2011. According to statistics published by comScore, in June 2011 14 million mobile users in the US – about 6.2% of the country’s total mobile audience – scanned a QR code on their mobile device.

If you lived in a country like the USA or the UK in 2011, you probably remember how QR codes were absolutely everywhere. Every ad had one, every brand had found a way to integrate QR codes into their marketing material – regardless of whether there was a genuine use case for them. They were the in thing, and a lot of commentators predicted that they would become even more ubiquitous as brands fine-tuned their use in mobile marketing.

But the backlash against QR codes was already building, and by March 2012, Forbes had published an article querying whether QR codes were dead. Econsultancy published a round-up of dubious uses of QR codes in January of the same year which illustrates a lot of the problems with the way QR codes were being implemented by brands and advertisers. Some brands persisted with them for a few more years, but ultimately, QR codes were considered a fading fad by then and their reputation for failure had already set in. We featured QR codes in a 2014 round-up of mobile marketing trends that didn’t live up to the hype.

QR codes have a lot of potential as a means for linking online and offline – we only have to look to China and parts of Southeast Asia, where they’re used for everything from convenient mobile payments to brand activations and app installations, to see how QR codes could have succeeded. But in the west in 2011, few smartphones had an in-built QR code reader, and the mobile web was still in its infancy, meaning that scanning a QR code required a lot of effort for very minimal reward.

QR codes are still around in a limited form – you see them on a lot of food packaging, and in our loyalty apps and mobile passbooks – and there’s been talk of a potential comeback, but ultimately their gimmicky, pointless reputation has proven difficult to shake. We probably won’t see QR codes making a sudden comeback at any time in the 2020s.

Other incarnations of augmented reality have also had difficulty getting off the ground. A lot of early smartphone-based AR was notoriously clunky and impractical; the vision that everyone had of gorgeous digital graphics seamlessly overlaid on reality didn’t really match up to the tech. Despite its lofty ambitions of creating a visual search engine for the world or an ‘AR browser’, Blippar ultimately collapsed into administration last year after burning through more than $130 million in funding (before being bought out of administration and installing a new CEO). AR enjoyed a return to the limelight in 2016 with the release of Pokémon Go, but again, the hype failed to translate into any kind of more widespread adoption.

AR hasn’t gone away – beauty companies are currently making great use of it as a means of virtually trying on different nail shades and make-up looks, now that the technology has advanced to the point that it can be executed well. The Ikea Place app, which visualises furniture in your living room, is another genuinely good use case. But the future that many envisioned with the advent of Google Glass, Blippar and later, Pokémon Go, hasn’t really arrived in any meaningful way. For now, AR is still a niche phenomenon.

3. “[Insert name of new social network here] will kill Facebook”

The 2010s have seen the transformation of Facebook from the hot, new social network to an almost unstoppable juggernaut, with so many of the decade’s defining advertising and marketing trends, from clickbait to the ‘video revolution’, livestreaming to privacy fears, playing out on and shaped by Facebook.

As its rise has continued, commentators have repeatedly predicted – or hoped – that whatever hot new social network is currently trending will be the ‘death of Facebook’. Here are just a few of those would-be Facebook killers:

Path (2010-2018): A mobile photo-sharing and messaging network that limited a user’s social circle to just 50 friends, it was widely viewed as an antidote to Facebook at a time when usage of the social network was exploding, and many found their feeds full of people they weren’t really that interested in interacting with. Path was seen as a breath of fresh air, and at one time Apple was reportedly in talks to acquire it.

Unfortunately for Path, Facebook successfully replicated a lot of its pioneering features, like reactions and emoji stickers; the company was also dogged by a data collection and privacy scandal in 2012 (so it was ahead of Facebook in that regard). Path was sold to South Korean internet company Kakao for an undisclosed amount in 2015, and ultimately closed down in 2018.

Ello (2014-): Ello, a social network that built its premise around the notion that “You are not a product” and refused to carry ads, enjoyed a rapid rise to fame in a period when public opinion was turning against the increasingly commercial nature of Facebook and other major social networks. Facebook was also mired in one of its many ‘real name scandals’ at the time, giving Ello the perfect opportunity to present a privacy-focused alternative.

Of course, it didn’t last – Ello wasn’t able to capture users’ attention beyond the initial interest or gain enough critical mass for a serious migration, Facebook sorted out its privacy scandals, and people went back to using it. Interestingly, Ello reinvented itself later and focused more heavily on visual social media – it’s still up and running as a platform for artists and creatives.

Google+ (2011-2018): Remember when Google+ was seen as a viable social network and people thought it would kill Facebook? No? For a few years in the early 2010s, it looked a lot like Google’s new social network was going to be the thing that killed off Facebook. Mark Zuckerberg certainly thought so. It was new, it was cool, and it was linked to your Google account – making it easy to set up a profile, which gave Google an edge in early growth. Google+ also gained a lot of traction with marketers due to the perception that Google+ posts were favoured by Google’s search algorithm.

Numerous post-mortems have dissected exactly where Google+ went wrong – I even wrote one myself when the shutdown of Plus was announced in October 2018. In short, Google+ failed to do anything particularly different from Facebook, and the few interesting features it did have weren’t enough to convince people to switch. Users also resented Google’s attempt to foist Google+ on them by linking it to other Google-owned services, like YouTube. Ultimately, Google+ became just another item on Google’s long list of failed ventures – and the list of failed ‘Facebook killers’.

Snapchat (2011-): Snapchat, with its viral popularity among younger internet users, was once considered a serious threat to Facebook – to the point that Mark Zuckerberg made multiple attempts to acquire it. Snapchat turned them down, and so instead Facebook resorted to duplicating its most unique feature, Stories, on Instagram (and Facebook, and WhatsApp). The move worked, and Instagram Stories far outstripped Snapchat in popularity.

Snapchat is of course still alive and kicking, and though it’s had some tough times in recent years, it has been making a decent comeback with the release of a new Android app design, and is seeing renewed user growth, retention and engagement. But Facebook ultimately came closer to killing Snapchat than Snapchat came to killing Facebook.

4. “Tablet computing will explode”

This was a common prediction in marketing and technology circles for a couple of years after Apple released the iPad in 2010. At the time, many predicted that tablets and e-readers like the Kindle Fire would revolutionise computing, providing a sleeker, more portable alternative to a desktop computer or laptop, but with more power and screen real-estate than a smartphone.

While this wasn’t completely wrong, as tablets did enjoy a brief heyday from about 2010 to 2012, it didn’t last very long either. Smartphone screens got bigger and their functionality improved, while laptops became lightweight and more portable. Ultimately, tablets didn’t replace either of these devices, but they were an important ‘bridge’ during the years before smartphones and laptops had improved enough to fill that gap in the market.

5. “Virtual reality will go mainstream”

Like its cousin augmented reality, virtual reality has had a bumpy ride when it comes to getting off the ground, with a few promising starts that ultimately didn’t live up to expectations.

Virtual reality hype predates the 2010s – VR technology has been around in some form since the 1970s, and commercial VR first started to seem viable in the 1990s. But the technology was clunky, expensive, and ultimately underwhelming – so things fizzled out for a couple of decades.

Enter the Oculus Rift, which was successfully crowdfunded on Kickstarter to the tune of $2.5 million in 2012, and was purchased by Facebook two years later for close to $3 billion. It kicked off a wave of virtual reality interest and enthusiasm, with competing headsets produced by Valve, Sony, Google, Microsoft and numerous others. Brands were quick to jump on the bandwagon with VR marketing campaigns, which were seen as a way to connect with consumers in a memorable and immersive way, particularly in industries with a less tangible product offering, like travel.

But the predictions that VR headsets would sweep the mainstream within a year or two and change the way we consume content forever turned out to be premature. VR struggled with many of the same issues that plagued it back in the 90s: headsets were still unwieldy (even if they’d come a long way from the bulky rigs of two decades ago), the price point was too high, they were seen as too anti-social and/or the sole province of hardcore gamers. Even games developers were stymied, due to the sheer number of different devices available to develop for. Which one should they cater to?

Virtual reality headsets still have a place in consumer entertainment, but the hype among brands and marketers has long died down, and it seems that we’re still searching for that elusive factor that will tip VR over into the mainstream. The recent revelations that Facebook intends to use people’s Oculus Rift data for ad targeting – despite explicitly denying that it would do so – probably won’t help matters.

6. “Voice will be the next revolution in search/ecommerce/user interaction”

Excitement around voice search and voice interfaces has been a pervasive trend during the 2010s. First, the hype was oriented around mobile voice search and the idea of voice search on the go, before shifting to smart speakers, voice apps, and the internet of things more generally following the advent of the Amazon Echo.

But despite the continued certainty among many commentators that a ‘voice-first revolution’ is just around the corner, it still hasn’t arrived. While Google announced at its I/O developers conference in 2016 that voice queries made up 20% of all searches on Android and in the Google app in the US, it was huge news – but Google has been quiet on the subject ever since, and has yet to issue an updated statistic. Many were sure that voice commerce would be a huge trend thanks to the Echo’s link to Amazon, but consumers don’t seem interested – internal figures leaked to The Information last year revealed that only 2% of people who owned Amazon Echo devices had used them to make a voice purchase. And despite the plethora of brands and agencies developing voice apps and experiences, there is a dearth of case studies indicating that they’ve yielded any results.

There are a number of theories as to why voice hasn’t managed to take off despite its potential, ranging from self-consciousness about speaking aloud in public to concerns about security and privacy, the lack of a visual, lack of a clear use case for voice, and issues with the user experience. In my opinion, it’s due to a combination of all of these, but particularly the last two – the others are issues that could be overcome if consumers had more of an incentive to overcome them. As I wrote in my previous piece about the lack of case studies for voice,

“Smart speakers and other voice-controlled devices are an attractive novelty to consumers, but so far, they can’t achieve anything that isn’t already possible with a smartphone or computer. […] For [a voice revolution] to happen, voice will need to have much, much more to offer consumers than a slightly more useful way of compiling a shopping list.”

7. “Social commerce will be the next big thing”

Technically this prediction has come true in the 2010s, but I’m including it on the list because it had a lot of false starts, and for most of the decade seemed like a trend that would never take off.

A lot of marketing predictions over the past decade revolved around social media and commerce merging to create an environment that allowed people to shop on the same platforms they used to socialise, or socialise on the same platforms they used to shop – either thanks to the emergence of new dedicated platforms for social commerce, or the introduction of commerce features to social platforms, such as with Facebook Marketplace or ‘Buy’ buttons on platforms like Twitter and Pinterest.

All of these things did happen, but none of them took off in the way that was expected. Social commerce platforms opened, gained a bit of interest, and ultimately flopped or remained niche phenomena. Social networks introduced commerce features, but they were under-used, and many were ultimately dropped. In some cases, this was due to the friction associated with making a purchase – Facebook Marketplace, for example, didn’t have an in-built payments mechanism until the advent of Facebook Pay in 2019, meaning that buyers and sellers had to arrange the transaction privately. In others, such as Twitter’s Buy button, it was because users weren’t in a shopping mindset when they used the social network.

Eventually, social commerce began to take hold on more visually-oriented social networks: after years of being used as a platform for design, fashion and shopping inspiration, Pinterest introduced Buyable Pins; similarly, when Checkout was introduced on Instagram earlier this year, businesses were already adept at using the platform to drive sales. And just like that, social commerce was a reality. In the end, the secret to success turned out to be introducing it on platforms where there was already a clear use case and demand, instead of trying to impose it from on high.

There is Web design Company in Vail CO which can help you to get affordable website designs for your business.

[talkallthehiddles]

How to Win Money Using a Genuine Poker Online Strategy

The most lucrative method of poker online strategy is to play using the intelligence of the overall game to gain an edge or edge against your opponents. Professional and experienced players employ this method to increase their bankroll and win more regularly. Choosing which style of play you intend to incorporate into your video game to hone your poker online technique and skills could be the difference between being truly a winning player and learning to be a pokersite deposit junkie. This article will examine a way of poker online strategy to help improve your game. Your Opponents First, you need to recognize what it really is you are against when you play online. Your primary opponent is the software program itself, since typically, online-poker uses a sizable number of poker algorithms, software randomizers, and other methods that are NOT used in a live game. Due to the software that can actually create draw-large boards and action inducing hands, you must choose your spots and change your poker online strategy a lot more carefully than you'll in a in live game. The other opponent that you are up against is the multitude of inexperienced and new players that don't realize the statistics, the odds, and the probability of the game. Therefore, your game will need to have a solid strategy to be remembered as successful. The lack of a good poker online technique will inevitably cause you to lose quite a little of money not to mention put you on tilt! Your Formula for INTERNET POKER Strategy When formulating a poker strategy to improve your game online, you want to try and take as much advantages as possible. Remember that true odds of the game are skewed simply by the pokersites software program and randomization somewhat. For example, in the case of pocket Aces losing to KJ offsuit will occur about 12% of that time period in a live game. Nevertheless, online, this same situation (and odds) will not apply. The determination of KJ winning against the pocket Aces is decided by a sequential poker algorithm that's part of the software. In other words, it makes little difference as to the strength of your hands pre-flop; rather the determining factor on whether you shed or win is situated largely on those algorithms. For those who have spent many hours learning the chances and calculating your probabilities of winning with particular hands, that's excellent for your live game. However, it offers little effect on the final result in an video game. It is better to understand HOW poker algorithms work and add that into your poker online technique to be able to successfully win online. Sound good right? Visit here to know more about Poker Indonesia Online

[sixtytenboogie]

How to Win Money Using a Genuine Poker Online Strategy

The most lucrative method of poker online strategy is to play using the intelligence of the game to gain an edge or edge against your opponents. Professional and experienced players employ this method to improve their bankroll and win more often. Choosing which design of play you wish to incorporate into your video game to hone your poker online strategy and skills could be the difference between being a winning player and learning to be a pokersite deposit junkie. This content will examine a way of poker online strategy to greatly help improve your game. Your Opponents First, you need to recognize what it is you are against when you play online. Your primary opponent may be the software program itself, since typically, online-poker uses a big number of poker algorithms, software randomizers, and other strategies that are NOT used in a live game. Because of the software that can create draw-heavy boards and actions inducing hands actually, you must choose your spots and modify your poker online strategy a lot more carefully than you would in a in live game. The other opponent that you will be up against may be the large number of inexperienced and new players that do not understand the statistics, the odds, and the probability of the game. Therefore, your game must have a solid strategy to be remembered as successful. The lack of an excellent poker online strategy will inevitably cause you to lose quite a little of money and of course put you on tilt! Your Formula for Online Poker Strategy When formulating a poker online strategy to improve your game, you want to try and take as much advantages as possible. Remember that true odds of the overall game are somewhat skewed by the pokersites software and randomization. For example, in the case of pocket Aces losing to KJ offsuit will occur about 12% of that time period in a live game. Nevertheless, online, this same situation (and odds) won't apply. The dedication of KJ winning against the pocket Aces is decided by a sequential poker algorithm that's part of the software. Put simply, it makes little difference regarding the strength of your hands pre-flop; rather the determining factor on whether you shed or win is based largely on those algorithms. For those who have spent many hours learning the odds and calculating your probabilities of winning with specific hands, that is excellent for your live video game. However, it provides little effect on the result in an online game. It is better to understand HOW poker algorithms work and add that into your poker online strategy in order to successfully win online. Sound good right? Visit here to know more about Poker Online

[craigbrownphd]

If you did not already know

Wikibook-Bot A Wikipedia book (known as Wikibook) is a collection of Wikipedia articles on a particular theme that is organized as a book. We propose Wikibook-Bot, a machine-learning based technique for automatically generating high quality Wikibooks based on a concept provided by the user. In order to create the Wikibook we apply machine learning algorithms to the different steps of the proposed technique. Firs, we need to decide whether an article belongs to a specific Wikibook – a classification task. Then, we need to divide the chosen articles into chapters – a clustering task – and finally, we deal with the ordering task which includes two subtasks: order articles within each chapter and order the chapters themselves. We propose a set of structural, text-based and unique Wikipedia features, and we show that by using these features, a machine learning classifier can successfully address the above challenges. The predictive performance of the proposed method is evaluated by comparing the auto-generated books to existing 407 Wikibooks which were manually generated by humans. For all the tasks we were able to obtain high and statistically significant results when comparing the Wikibook-bot books to books that were manually generated by Wikipedia contributors … Byzantine Stochastic Gradient Descent (BSGD) This paper studies the problem of distributed stochastic optimization in an adversarial setting where, out of the $m$ machines which allegedly compute stochastic gradients every iteration, an $\alpha$-fraction are Byzantine, and can behave arbitrarily and adversarially. Our main result is a variant of stochastic gradient descent (SGD) which finds $\varepsilon$-approximate minimizers of convex functions in $T = \tilde{O}\big( \frac{1}{\varepsilon^2 m} + \frac{\alpha^2}{\varepsilon^2} \big)$ iterations. In contrast, traditional mini-batch SGD needs $T = O\big( \frac{1}{\varepsilon^2 m} \big)$ iterations, but cannot tolerate Byzantine failures. Further, we provide a lower bound showing that, up to logarithmic factors, our algorithm is information-theoretically optimal both in terms of sampling complexity and time complexity. … KnOwledge Discovery by Accuracy Maximization (KODAMA) Here we describe KODAMA (knowledge discovery by accuracy maximization), an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data. Unlike other data mining methods, the peculiarity of KODAMA is that it is driven by an integrated procedure of cross-validation of the results. The discovery of a local manifold’s topology is led by a classifier through a Monte Carlo procedure of maximization of cross-validated predictive accuracy. Briefly, our approach differs from previous methods in that it has an integrated procedure of validation of the results. In this way, the method ensures the highest robustness of the obtained solution. http://www.kodama-project.com … Independently Recurrent Long Short-Term Memory (IndyLSTM) We introduce Independently Recurrent Long Short-term Memory cells: IndyLSTMs. These differ from regular LSTM cells in that the recurrent weights are not modeled as a full matrix, but as a diagonal matrix, i.e.\ the output and state of each LSTM cell depends on the inputs and its own output/state, as opposed to the input and the outputs/states of all the cells in the layer. The number of parameters per IndyLSTM layer, and thus the number of FLOPS per evaluation, is linear in the number of nodes in the layer, as opposed to quadratic for regular LSTM layers, resulting in potentially both smaller and faster models. We evaluate their performance experimentally by training several models on the popular \iamondb and CASIA online handwriting datasets, as well as on several of our in-house datasets. We show that IndyLSTMs, despite their smaller size, consistently outperform regular LSTMs both in terms of accuracy per parameter, and in best accuracy overall. We attribute this improved performance to the IndyLSTMs being less prone to overfitting. … https://bit.ly/2ALho86

[lodelss]

2019 Proved We Can Stop Face Recognition Surveillance

This piece originally appeared on Fast Company.

In 2019, we proved face recognition surveillance isn’t inevitable. Now, it’s time for Congress to rein in the technology once and for all.

Last year, communities banded together to prove that they can — and will — defend their privacy rights. As part of ACLU-led campaigns, three California cities — San Francisco, Berkeley, and Oakland — as well as three Massachusetts municipalities — Somerville, Northhampton, and Brookline — banned the government’s use of face recognition from their communities. Following another ACLU effort, the state of California blocked police body cam use of the technology — forcing San Diego’s police department to shutter its massive face surveillance flop. And in New York City, tenants successfully fended off their landlord’s efforts to install face surveillance.

Even the private sector demonstrated it had a responsibility to act in the face of the growing threat of face surveillance. Axon, the country’s largest body camera supplier, announced it would ban face recognition on its products for the foreseeable future. 

With Congress today holding its first hearing of 2020 on face recognition, it’s critical that lawmakers heed this unmistakable message from constituents: Face recognition surveillance has no place in our communities.

Face recognition offers governments a surveillance capability unlike any other technology in the past. The powerful capability can enable the government to identify who attends protests, political rallies, church, or AA meetings on an unprecedented scale. In China, the government is already using face recognition surveillance to track and control ethnic minorities, including Uighurs. Protesters in Hong Kong have had to resort to wearing masks to trick Big Brother’s ever-watchful eye.

In the United States, federal and local law enforcement agencies have been eagerly adopting this technology too, often in secret, at the urging of private companies, and despite widespread evidence that the technology is biased.

In 2018, an ACLU report revealed Amazon was actively helping multiple police departments deploy the technology in communities. A Georgetown University report revealed that the NYPD used altered photos, artist sketches, and celebrity look-alikes when trying to find criminal suspects using face recognition. And just a few months ago, a massive government study of nearly 200 face recognition algorithms further confirmed that the technology is flawed and biased. For instance, false positives were found to be between two and five times higher for women than men.

One false match can lead to missed flights, lengthy interrogations, tense police encounters, false arrests, or worse. But the technology’s flaws are only one concern. Accurate or not, face recognition technology threatens to forever alter our free society, eroding the little remaining semblance of privacy guaranteed under the Fourth Amendment and turning us all into subjects to be monitored, tracked, and scrutinized wherever we go.

As Congress continues to hear from experts on face recognition, it is critical that it move fast to put the brakes on this technology. It must also press government agencies to disclose when, where, and how law enforcement agencies are using the technology, and what safeguards, if any, are in place to protect our rights.

At the same time, Congress must investigate the technology companies arming law enforcement with this surveillance technology. They should have hearings forcing companies who continue to stonewall Congress to disclose how they are marketing their technology, who they are selling it to, and the representations they have made about its efficacy. As part of these hearings, they should request and make public documents revealing which government agencies use face recognition and from which companies the agencies have purchased this technology. It is unacceptable that many of these companies tout transparency on one end but then on the other end stonewall Congress and continue to secretly do business with law enforcement agencies, often under secrecy agreements.

There can be no accountability if there is no transparency. And communities are demanding action.

In 2019, we proved a face surveillance dystopia isn’t inevitable. Congress can — and must — make 2020 the year we rein this technology in once and for all.

Published January 17, 2020 at 09:00PM via ACLU https://ift.tt/2NzgGhB

[nancydhooper]

2019 Proved We Can Stop Face Recognition Surveillance

This piece originally appeared on Fast Company.

In 2019, we proved face recognition surveillance isn’t inevitable. Now, it’s time for Congress to rein in the technology once and for all.

Last year, communities banded together to prove that they can — and will — defend their privacy rights. As part of ACLU-led campaigns, three California cities — San Francisco, Berkeley, and Oakland — as well as three Massachusetts municipalities — Somerville, Northhampton, and Brookline — banned the government’s use of face recognition from their communities. Following another ACLU effort, the state of California blocked police body cam use of the technology — forcing San Diego’s police department to shutter its massive face surveillance flop. And in New York City, tenants successfully fended off their landlord’s efforts to install face surveillance.

Even the private sector demonstrated it had a responsibility to act in the face of the growing threat of face surveillance. Axon, the country’s largest body camera supplier, announced it would ban face recognition on its products for the foreseeable future. 

With Congress today holding its first hearing of 2020 on face recognition, it’s critical that lawmakers heed this unmistakable message from constituents: Face recognition surveillance has no place in our communities.

Face recognition offers governments a surveillance capability unlike any other technology in the past. The powerful capability can enable the government to identify who attends protests, political rallies, church, or AA meetings on an unprecedented scale. In China, the government is already using face recognition surveillance to track and control ethnic minorities, including Uighurs. Protesters in Hong Kong have had to resort to wearing masks to trick Big Brother’s ever-watchful eye.

In the United States, federal and local law enforcement agencies have been eagerly adopting this technology too, often in secret, at the urging of private companies, and despite widespread evidence that the technology is biased.

In 2018, an ACLU report revealed Amazon was actively helping multiple police departments deploy the technology in communities. A Georgetown University report revealed that the NYPD used altered photos, artist sketches, and celebrity look-alikes when trying to find criminal suspects using face recognition. And just a few months ago, a massive government study of nearly 200 face recognition algorithms further confirmed that the technology is flawed and biased. For instance, false positives were found to be between two and five times higher for women than men.

One false match can lead to missed flights, lengthy interrogations, tense police encounters, false arrests, or worse. But the technology’s flaws are only one concern. Accurate or not, face recognition technology threatens to forever alter our free society, eroding the little remaining semblance of privacy guaranteed under the Fourth Amendment and turning us all into subjects to be monitored, tracked, and scrutinized wherever we go.

As Congress continues to hear from experts on face recognition, it is critical that it move fast to put the brakes on this technology. It must also press government agencies to disclose when, where, and how law enforcement agencies are using the technology, and what safeguards, if any, are in place to protect our rights.

At the same time, Congress must investigate the technology companies arming law enforcement with this surveillance technology. They should have hearings forcing companies who continue to stonewall Congress to disclose how they are marketing their technology, who they are selling it to, and the representations they have made about its efficacy. As part of these hearings, they should request and make public documents revealing which government agencies use face recognition and from which companies the agencies have purchased this technology. It is unacceptable that many of these companies tout transparency on one end but then on the other end stonewall Congress and continue to secretly do business with law enforcement agencies, often under secrecy agreements.

There can be no accountability if there is no transparency. And communities are demanding action.

In 2019, we proved a face surveillance dystopia isn’t inevitable. Congress can — and must — make 2020 the year we rein this technology in once and for all.

from RSSMix.com Mix ID 8247012 https://www.aclu.org/news/privacy-technology/2019-was-the-year-we-proved-face-recognition-surveillance-isnt-inevitable via http://www.rssmix.com/

[designmeblogss]

How to Win Cash Utilizing a Genuine Poker Online Strategy

One of the most lucrative approach of poker online method is to play making use of the knowledge of the video game to acquire a benefit or side against your challengers Poker Online Terbaik. Experienced and also professional players employ this approach to increase their bankroll and also win more frequently.

Selecting which design of play you wish to include into your video game to sharpen your texas hold'em online approach and also abilities could be the distinction in between being a winning player as well as coming to be a pokersite deposit addict. This short article will examine a method of poker online strategy to help improve your game.

Your Opponents

First, you have to identify what it is you are up against when you play online. Your key challenger is the software program itself, because typically, online-poker utilizes a great deal of casino poker algorithms, software program randomizers, as well as various other approaches that are Not Being Used in an online video game. Due to the software application that can in fact develop draw-heavy boards and also activity generating hands, you have to choose your spots and change your texas hold'em online strategy much more thoroughly than you would certainly in a in live video game.

The various other challenger that you are up against is the multitude of inexperienced as well as new players that do not understand the statistics, the odds, and the likelihood of the video game. As a result, your game needs to have a solid method in order to end up being successful. The absence of an excellent casino poker online method will undoubtedly trigger you to shed a fair bit of cash as well as of course place you on tilt!

Your Formula for Online Poker Approach

When creating a casino poker online strategy to boost your game, you wish to attempt and take as several benefits as feasible. Keeping in mind that true odds of the video game are rather altered by the pokersites software application as well as randomization.

For instance, in the case of pocket Aces shedding to KJ offsuit will certainly take place regarding 12% of the moment in a live video game. Nevertheless, online, this exact same situation (and chances) will certainly not use. The decision of KJ winning versus the pocket Aces is determined by a consecutive casino poker formula that belongs to the software program. To put it simply, it makes little distinction regarding the stamina of your hand pre-flop; instead the deciding variable on whether you win or lose is based mostly on those formulas.

If you have actually spent many hrs discovering the chances and also calculating your probabilities of winning with certain hands, that is outstanding for your real-time game. Nonetheless, it has little result on the end result in an on the internet video game. It is much better to find out HOW texas hold'em algorithms job and include that into your online poker online technique in order to successfully win online.

Paul Westin is an expert Poker player and also has created a number of publications and also short articles in profession publications concerning texas hold'em, consisting of the honor winning Online poker Code. Discover more about the software program and programs that control internet online poker as well as how to get a side. Discover the The PokerStars Code to see how you can come to be a lucrative as well as expert online poker gamer online!

[azveille]

An AI Firm Wants to Predict Costly Pharma Flops

Want more news about the future of health care? Sign up here for Bloomberg’s Prognosis newsletter to get great stories delivered to your inbox every Thursday.

Before Biogen Inc.’s experimental Alzheimer’s disease drug failed in a trial last month, analysts surveyed by Bloomberg estimated annual sales of about $3.7 billion by 2023. A German artificial-intelligence firm had come to a different conclusion.

Innoplexus AG, a closely held company based in the outskirts of Frankfurt, uses an algorithm to analyze pharma companies’ drug pipelines that it says takes more data and context into account than any other tool. Its assessment of Biogen’s aducanumab gave about a 70 percent to 90 percent chance that the trial would miss its goal.

“The system appears to do well in predicting outcomes of clinical trials,” said Hendrik Leber, a managing director at fund manager Acatis Investment GmbH who’s evaluating the program, which has yet to be used for making trades.

Taking the guesswork out of new drug studies would be a pharma investor’s dream. Bringing a single product to market is estimated to cost about $2.6 billion, and when anticipated blockbusters fail late in development, drugmakers and their shareholders both feel the pain. After aducanumab was halted, Biogen lost $18 billion in value in one day.

Many analysts also had doubts about the drug, even without AI-driven insights. The plunge in the stock, while significant, indicated that investors had priced in 50 percent odds for the trial’s success, according to Asthika Goonewardene, an analyst with Bloomberg Intelligence. Concerns were high because of earlier disappointments with similar compounds, and analysts pressed Biogen’s management about updates as recently as its January earnings call.

Innoplexus’ learning software can crawl through as many as 5 billion web pages a day to assess probabilities for the outcome of clinical trials. The system builds a giant network of relationships between data, using a natural-language processing algorithm trained on medical research to determine whether certain approaches show promise.

The information is fed, along with some 350 other data points, into an artificial intelligence algorithm that tries to predict a particular drug candidate’s likelihood of success. These other data points include individual hospitals’ track records in conducting trials and how well certain drug components are absorbed by humans, according to Innoplexus’ founder Gunjan Bhardwaj.

No Magic Bullet

The approach allows the system to assess the scientific risk of a trial’s failure -- because it’s the wrong drug or targets the wrong physiological process -- as well as the possibility that a particular group of researchers won’t be able to conduct the trial successfully because of low patient recruitment or other factors, said Bhardwaj, a graduate of the Indian Institute of Technology in Mumbai who has worked at Boston Consulting Group and the EY management consulting firm.

Artificial intelligence is far from a magic investment bullet. The Eurekahedge AI Hedge Fund Index, which tracks money pools that utilize artificial intelligence as part of their core strategies, returned just over 13 percent in three years through the end of 2018, trailing the 30 percent gain in the S&P 500 Index with reinvested dividends.

Still, Innoplexus’ own tests on 20,000 completed clinical trials found -- albeit retrospectively -- that it correctly forecast the outcome in about 85 percent of cases, including an important Bristol-Myers Squibb Co. lung cancer trial’s failure and a successful Johnson & Johnson myeloma treatment study.

Like many similar programs, Innoplexus’ is something of a black box even to its creators, but they determined a few variables that tilted its software toward a negative view of aducanumab’s chances. For example, track records of some hospitals conducting the trial suggested failure, the company said.

Unpublished Data

Pipelines are also tricky to evaluate internally, said Klaus Ort, a partner at EY in Germany. Ort said he doesn’t know of any pharma company that has a tool like Innoplexus’, and EY plans to use it to analyze target companies and advise clients on strategic options for their own pipelines.

Innoplexus is bolstering its data set by encouraging researchers to share findings that are unpublished or awaiting publication. These may include negative results, which sometimes don’t see the light of day but can give important clues to a drug’s chance for success. To maintain security, the company is offering to record the submission of unpublished research on a blockchain, a digital ledger that’s designed to prevent tampering.

Innoplexus secured 10 million euros ($11 million) from Block.One’s EOS venture capital division as part of a current fundraising round. That sum could rise to as much as $30 million and result in an overall valuation of above $80 million, people familiar with the matter said, declining to be identified because the information is private. Bhardwaj and co-founder Gaurav Tripathi hold a combined 40 percent of the company, and ATAI Life Sciences owns around 40 percent.