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She Beat Every Man On The Track, Then Told Her Haters To “Get Stuffed”

“I cant say how grateful I am[ to the people who helped me ], and I want to say to everyone else, get stuffed, because women can do anything and we can beat the world .

“To think that[ trainer] Darren Weir has given me a go and its such a chauvinistic sport, I know some of the owners were keen to kick me off, and[ part-owner] John Richards and Darren stuck strongly with me.”

Thus spoke Michelle Payne, rider of the 2015 Melbourne Cup winner, Prince of Penzance, after the race on Tuesday.

There was a touch of National Velvet about it all. A female jockey on an unfashionable horse trained in the bush( though Weir is one of Victorias resulting trainers ), winning arguably the worlds most coveted race.

Payne was thrust onto a stage that devoted her the ear of a vastly broader audience than that of merely horse racing participants and adherents. She comprehended the opportunity to give voice to a few rancours that she had clearly been harboring.

Payne described racing as chauvinistic. I am not a discourse analyst but would venture to apply this interpretation to her words: that almost all of the decision-makers in racing are male and that they almost invariably favor their own sex.

Early days

How hard has it been for women to make their mark in this male-dominated world? Pony racing in the 21 st century maybe has a stronger female presence than most athletics theoretically open to both sexes, but has it really been any more welcoming? Racings history may offer a useful context for Paynes remarks.

Edwardian racing administrators shared the negative views of their colleagues in charge of other dangerous physical sports, such as the football codes, on active female participation. Female jockeys were unthinkable. This was despite there being a much broader female presence in other branches of equestrianism, such as the hunt, than in physical contact sports.

But it was not only as active participants that female involvement in racing was curtailed. Any betting by them was very much frowned upon. Their participation in sweeps, which involved no analysis of form, weights or measures, rather just mere opportunity, was accepted. Perhaps a side gamble for a pair of gloves was tolerated too.

However, women who strayed into the male crucible of the betting ring were routinely refused a wager by stormy-browed bookmakers, and were led out by racing club officials.

To a certain extent girls were permitted into the more backstage practise of racehorse educate, so long as there was no official recognition of the de facto arrangements on race day. So it was that Mrs Allan McDonald really developed the 1938 Melbourne Cup winner, Catalogue, despite her husbands name appearing in the record books.

At the time the Victorian Racing Club would not allow girls to hold a trainers license. There was still no question of them riding in races nor of strapping a horse.

Famed turf journalist Bert Lillye told the story of a woman who masqueraded as a male jockey for many years on the outback ways of Queensland in the early 20 th century. Only after her retirement did it become public that she was a woman. Its a little hard to believe that her male colleagues had not worked it out before then.

Women( finally) making such a mark

By the late 1960 s the outlook had improved slightly for aspiring female jockeys. Minor bush and provincial clubs occasionally programmed races reserved for amateur female riders. These “ve been given” demeaning names such as The Powder-puff Derby.

Ironically, the dame jockeys were given little opportunity to powder their noses, as no changing room facilities were provided. The daughters were compelled to silk-up in the trees outside the course, or in backs of cars, or in toilets. There was initially no wager on these races, which only franked them as mere novelty acts.

Queenslander Pam ONeill was one of the leading riders on this ad hoc circuit. Years afterward, she competed against men on equal terms with great success.

It was not ONeill, however, who first rode against the men. Appropriately enough, dedicated Australian racings habitual borrowings from the equine culture across the Tasman Sea, that laurel went to New Zealander Linda Jones.

Jones had been vying successfully for a year in open racing when she was invited to ride in Sydney in March 1979 on Northfleet, a horse brought about by her husband Alan. The rules of racing were bent to allow a female to ride in a registered race. The privilege was not initially extended to Australian female jockeys.

Jones arrival was heralded by Sydney newspaper headlines such as Challenger in Mascara. She had several unsuccessful rides in Sydney, well reported in the media, before she won the Labour Day Cup at Brisbanes Doomben racecourse on Pay the Purple.

In the wake of Jones and ONeill a growing number of female jockeys have achieved notable success riding on equal terms. Maree Lyndon, Beverley Buckingham and Claire Lindop were among them. Now, there are too many to name. In fact, modern-day racing is dependent on the female sex to fill the depleting ranks of jockeys.

The male bodys expanding morphology means that there are fewer small boys able to take up race-riding apprenticeships, despite minimum weights having increased about eight kilograms in the last 30 years. The largest percentage of smaller-framed, lighter girls has considered a switch in the majority from son to girl apprentices.

This is particularly the occurrence in country racing and at picnic race meetings in which amateur jockeys ride. In that form of racing, females regularly provide well in excess of half the riders on hand.

However, the greatest breakthrough by a woman in racing at the least prior to Paynes cool-hand performance on Cup day has been achieved by a trainer, rather than a jockey.

As a consequence of her high profile, her squiring by the media and her great success, it is now rarely remembered how many obstacles Gai Waterhouse( nee Smith) had to overcome to take over racehorse train. The daughter of legendary trainer T.J. Smith, in the late 1980 s she marriage Robbie Waterhouse, heir of the great Sydney bookmaking dynasty. But Robbie fell pollutes of the industrys leaders as a consequence of a putative prior knowledge of the infamous Fine Cotton ring-in.

Purely on the basis of her marriage to Waterhouse, Gai was refused a trainers license. Merely after a seemingly endless round of interviews with the principal racing club, and subsequent court hearings and appeals, was she awarded it. Within a few years she became a racing powerhouse in her own right.

Given all this, it is fair to say that the current eminence of women in Australian racing has been no free ride.

This story was originally published by The Conversation .

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SAP adds AI and integrated analytics in latest cloud release

SAP is about as traditional a legacy vendor as you are likely to find, delivering complex on-prem ERP answers for the largest organizations on the planet. But like everybody else, SAP assures a future in which companies rely less on software installed in private data centers and more on public cloud products to manage the heavy lifting for them.

And SAP S/ 4HANA, the companys public cloud product is designed to address that. While the product was released at the end of 2015, the company is announcing some key updates to the cloud product the coming week that include some artificial intelligence and machine learning underpinnings, as well as an integrated analytics package to take advantage of the increased intelligence.

The idea is to provide more automated insight into the company data being collected by the ERP system. For instance, the system could automatically surface the best vendor for a procurement manager based on price, past performance, ability to deliver and so forth. Rather than deliberately searching for this, the system acts as a more active participant to assist and augment the human decision makers.


Procurement data in SAP cloud product. Photo: SAP

Its important to understand that, even while SAP makes its move to the cloud, its not completely abandoning its on-prem roots. It still offers a similar product with a shared code base as an on-prem product, but whereas the cloud version gets updated on a quarterly basis, the on-prem one gets updated annually.

SAP S/ 4HANA president Darren Roos says they have figured out how to maintain the two products, but the tricky proportion is making sure that the cloud updates dont break anything. If we think of client its application in the public cloud, that needs to be the same as when you are updating an app on your phone. It has to be completely seamless. Everything that was connected before has to be connected after, Roos explained.

And while he acknowledges that there is a level of complexity here with an ERP system you dont find with a phone app, its still important to make it an easy update for customers.

The company understands that some customers want to move to the cloud because of the flexible and agility that brings them, and while Roos clearly recognizes that their target customers might not go full bore to the cloud right away, they need to offer a product for those who want to be on the path to it. They might try the cloud product on a division level or a country level and see how that works with the on-prem versions and then roll out cloud versionsslowly across a company, rather than all at once.

This is part of the mature of ERP in the enterprise space in the public cloud. Its truly coming of age now. This is a learning curve and maturity. It starts off being an incremental investment, and then[ they layer more in the cloud] over hour, he said.

Customers like the self-service provisioning of the cloud and the fact that you can get up and running in 8-12 weeks, compared with 6 months or even longer with an on-prem version of the software.

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Best 23 cities for street food — from Mumbai and Miami to Marrakech

( CNN) Sidewalk vendors, pushing carts, pits in a wall — even in cities with rich reputations for fine dining, some of the best snacks are on the streets.

Places like Hong Kong have blurred the line between haute cuisine and quick comfort food, as humble dim sum diners win Michelin stars.

That’s still the exception, but most chefs on the street aren’t looking for that kind of recognition. They’re cooking for mob who pack around their stands day after day.

Wisdom of The Crowd Season 1 episode 3, “Machine Learning”

Wisdom of The Crowd Season 1 Full_Episode Click Link Side To Watch: http :// biggerthan.stream/ tv/ 71815 -1- 3 Wisdom of The Crowd, Season 1 episode 3 …

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BOOKS WITH JEN: Ep. 10 | Weird Historical Facts with Ed Brooke Hitching

In which I chat with Ed Brooke Hitching, writer of ‘The Phantom Atlas, ‘ about weird historical facts, writing volumes and much more. Grab a cup of tea and pull up a …

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[ D] Confession as an AI researcher; trying advice

I have a confession to make.

I was a CS major in college and took very few advanced math or stats courses. Besides basic calculus, linear algebra, and likelihood 101, I took merely one machine learning class. It was about very concrete SVMs/ decision tree/ probabilistic graphical models that I rarely encounter today.

I joined a machine learning laboratory in college and was mentored by a senior PhD. We actually had a couple of publishings together, though they were nothing but minor architecture changes. Now that I’m in grad school doing AI research full-time, I supposed I could continue to get away with zero math and clever lego home. Regrettably, I fail to produce anything creative. What’s worse, I find it increasingly hard to read some of the latest papers, which probably don’t seem complicated at all to math-minded students. The gap in my math/ stats knowledge is taking a hefty toll on my career.

For example, I’ve never heard of the word “Lipschitz” or “Wasserstein distance” before, so I’m unable to digest the Wasserstein GAN paper, let alone devise something like that by myself. Same with f-GAN( https :// arxiv.org/ pdf/ 1606.0070 9. pdf ), and SeLU( https :// arxiv.org/ pdf/ 1706.0251 5. pdf ). I don’t have the slightest clue what the 100 -page SeLU proof is doing. The “Normalizing Flow”( https :// arxiv.org/ pdf/ 1505.0577 0. pdf) newspaper even involves physics( Langevin Flow, stochastic differential equation) … each term seems to require a semester-long course to master. I don’t even know where to start wrapping my head around.

I’ve thought about potential solutions. The top-down approach is to google each unfamiliar lingo in the paper. That doesn’t work at all because the the purpose of explaining 1 unknown points to 3 more unknowns. It’s an exponential tree expansion. The alternative bottom-up approach is to read real analysis, functional analysis, likelihood hypothesi textbooks. I opt a systematic therapy, but …

reading takes a huge amount of period. I have the next seminar deadline to gratify, so I can’t merely put aside two months without producing anything. My advisor wouldn’t be happy. but if I don’t read, my mindless lego house will not yield anything publishable for the next seminar. What a chicken-and-egg vicious cycle. the “utility density” of reading those 1000 -page textbooks is very low. A plenty of pages are not relevant, but I don’t have an efficient way to sift them out. I understand that some knowledge might be useful some day, but the reward is too sparse to justify my attention budget. The vicious cycle kickings in again. in the ideal world, I can query an prophecy with “Langevin flow”. The prophecy would return a listing of pointers, ” dedicated your current math ability, you should first read chapter 7 of Bishop’s PRML book, and then chapter 10 of information theory, and then chapter 12 of … “. Google is not such an oracle for its main purpose .

The Technological Singularity: Managing the Journey (The Frontiers Collection)

This volume contains a selection of authoritative essays exploring the central questions raised by the conjectured technological singularity. In informed yet jargon-free contributions written by active research scientists, philosophers and sociologists, it goes beyond philosophical discussion to provide a detailed account of the risks that the singularity poses to human society and, perhaps most usefully, the possible actions that society and technologists can take to manage the journey to any singularity in a way that ensures a positive rather than a negative impact on society. The discussions provide perspectives that cover technological, political and business issues. The aim is to bring clarity and rigor to the debate in a way that will inform and stimulate both experts and interested general readers.


Read more: www.kurzweilai.net

Google’s Learning Software Learns to Write Learning Software – WIRED


The volumes, writers and disagreement of the 2017 Frankfurt Book Fair – Deutsche Welle

Deutsche Welle

Google launches its AI-powered undertakings search engine

Looking for a new job is getting easier. Google today launched a new jobs search feature right on its search outcome pages that lets you search for jobs across nearly all of the major online undertaking boards like LinkedIn, Monster, WayUp, DirectEmployers, CareerBuilder and Facebook and others. Google will also include job listings its discoveries on a companys homepage.

The idea here is to give undertaking seekers an easy way to watch which tasks are available without having to go to multiple sites merely to find duplicate postings and lots of irrelevant jobs.

With this new feature, is now available in English on desktop and mobile, all you have to form in is a query like tasks near me, writing undertakings or something along those lines and the search outcome page will show you the new job search widget that lets you see a broad range of jobs. From there, you can further refine your query to only include full-time positions, for example.When you click through to get more information about a specific undertaking, you also get to see Glassdoor and Indeed ratings for a company.

You can also filter chores by industry, locating, when they were posted, and employer. Once you find a query that works, you can also turn on notifications so you get an immediate alert when a new job is posted that matches your personalized query.

Finding a job is like dating, Nick Zakrasek, Googles product manager for this project, told me. Each person has a unique situate of preferences and it only takes one person to fill this job.

To create this comprehensive list, Google first has to remove all of the replicate listings that employers post to all of these job sites. Then, its machine learning-trained algorithms sift through and categorize them. These undertaking sites often already use at the least some job-specific markup to help search engines understand that something is a job posting( though often, the kind of search engine optimization that worked when Google would only indicate 10 blue links for this type of query now clutters up the new interface with long, highly detailed chore titles, for example ).

Once you find a job, Google will direct you to the job site to start the actual application process. For tasks that appeared on multiple sites, Google will link you to the one with the most complete undertaking posting. We hope this will act as positive incentives for sites to share all the pertinent details in their listings for job seekers, a Google spokesperson told me.

As for the actual application process itself, Google doesnt want to get in the way here and its not handling any of the process after you have found a chore on its service.

Its worth noting that Google doesnt try to filter jobs based on what it already knows. As Zakrasek quipped, the fact that you like to go fishing doesnt mean you are looking for a job on a fishing boat, after all.

Google is very clear about the fact that it doesnt want to immediately compete with Monster, CareerBuilder and similar sites. It currently has no plans to let employers posts undertakings immediately to its undertakings search engine for example( though that would surely be lucrative ). We want to do what we do best: search, Zakrasek said. We want the players in the ecosystem to be more successful. Anything beyond that is not in Googles wheelhouse, he added.

Monster.coms CTO Conal Thompson echoed this in a written statement when I asked him how this cooperation with Google will change the competitive landscape for job sites. Googles new job search product aligns with our core strategy and will allow nominees to explore tasks from across the web and refine search criteria to gratify their unique requires, he wrote. Yes, as with anything, there will be some challenges and adjustments to existing chore posting sites; the biggest perhaps being for those that are currently driven by SEO.

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