West London teams can defy the odds this season

first_imgAll four clubs have had a challenging summer, but it could yet be a good season for the west London sides.Chelsea have lost Eden Hazard and are under a transfer ban, Fulham have been dealing without the fall-out from relegation, Brentford have lost key players and QPR have completely revamped their squad.A look at a list of new sportsbooks in the UK tells you that Chelsea are expected to again be behind Liverpool and champions Manchester City this season.The likes of Kiwislots see Liverpool and City as the Premier League’s stand-out teams, which isn’t surprising given how outstanding they were last season. But Chelsea could be dark horses.Lampard giving youth a chanceNew boss Frank Lampard will look to give youth a chance, partly because of the transfer ban but also because the Chelsea legend is keen for the club to develop players.That will mean chances for the likes of Kurt Zouma, Tammy Abraham, Ruben Loftus-Cheek and Callum Hudson-Odoi to establish themselves as first-team players. If they can do so, and if Christian Pulisic can soften the blow of Hazard’s departure, it could be a season to remember.Fulham look to bounce backMitrovic chose to stay at FulhamIt was a disappointing start to the season for Fulham, who lost 1-0 at Barnsley. That was a reminder of how brutal life back in the Championship could be for the Whites. But their transfer business has been so shrewd, and Aleksandar Mitrovic staying is such a huge boost, they will surely prove to be one of the division’s heavyweights. Automatic promotion is the aim.Bees still buzzingBrentford have also bought well – again – and that should offset the loss of star striker Neal Maupay, who has joined Brighton. Romaine Sawyers leaving for West Brom is also a shame for the Bees, but they still have enough quality to challenge for promotion.Resurgent RangersHugill is off the mark at QPROf all the west London sides, QPR seemed to be facing the bleakest season. But they started the campaign with a brilliant 2-1 win at Stoke, with on-loan West Ham striker Jordan Hugill getting off the mark and Ebere Eze scoring a cracker. New manager Mark Warburton appears to have made a real impact and the early signs suggest his new-look team could defy the odds and fare far better than expected. The loss of Luke Freeman is a blow, but on-loan youngsters Matt Smith and Luke Amos look like real prospects capable of making a major impact during their time at Loftus Road. Follow West London Sport on TwitterFind us on Facebookby Taboolaby TaboolaSponsored LinksSponsored LinksPromoted LinksPromoted LinksRecommended for youAspireAbove.comRemember Pauley Perrette? Try Not To Smile When You See Her NowAspireAbove.comUndoLifestly.com25 Celebs You Didn’t Realize Are Gay – No. 8 Will Surprise WomenLifestly.comUndoUsed Cars | Search AdsUsed Cars in Tuen Mun Might Be Cheaper Than You ThinkUsed Cars | Search AdsUndoTopCars15 Ugliest Cars Ever MadeTopCarsUndoHappyTricks.comHer House Always Smells Amazing – Try her Unique Trick!HappyTricks.comUndoFood World Magazine15 Fruits that Burn Fat Like CrazyFood World MagazineUndoezzin.com20 Breathtaking Places to See Before You Dieezzin.comUndoDrhealth35 Foods That Should Never Be Placed in the RefrigeratorDrhealthUndolast_img read more

Mac App Store Tops 1 Million Downloads in Day One: Here’s What’s Hot

first_imgIn the Mac App Store’s free chart, the newly launched official Twitter application now stands at number one. The app, which notably ditches some of Apple’s recommended design considerations (its close, minimize and zoom buttons, for example, are black not red, yellow and green), has led to a love it or hate it experience among Apple fans. (John Gruber has a good essay on the pros and cons).Clearly, the majority of the end users love it – well, they love it enough to install it and give it a shot, that is. Again, watching the charts over the coming weeks will tell us more about the app’s long-term position.The top 12 free apps, as of this morning, are:TwitterSolitaire Greatest HitsEvernoteSketchBook ExpressCaffeineswackettMindNode for MacSoundCloudTextWranglerStuffit Expander AlfredVirusBarrier Express?We would imagine that many of the downloads from the Mac App Store come from new Mac users who have moved from the Windows world to OS X and are unfamiliar with the offerings available to them in the Mac universe of applications. For those folks, having a curated collections of organized apps will help them get up to speed and be productive on the new platform.Does this Prove the App Store Model for Desktops?Whether or not this same App Store model will work back in the Windows world, is still unknown. Intel launched its AppUp Center, an app store mostly designed with netbook users in mind, but a startup called AllMyApps, wants to more broadly address the app needs of the Windows market.Silicon Valley tech pundit Roberrt Scoble recently admitted that he was not excited about the initiative and “was a jerk” to the founder at the LeWeb conference in December, but AllMyApps CEO Thibauld Favre, stood up for himself and his vision, even thanking Scoble for being challenged. Favre countered Scoble’s claim that Windows users don’t “load new apps” by saying the reason for that is “not because they are Windows users but because without a real application store, they just cannot do it.”An app store, he said, “provides…a great integrated user experience, which makes discovering and managing apps fun,” and for developers, “makes distribution more effective.” That may be true, but Apple users are an entirely different beast than Windows users. Will they want or need a collection of browsable apps? Or will they think, hmm, I need some apps – I’ll just search the Web…?Disclosure: Intel AppUp is a ReadWriteWeb sponsor, on ReadWriteHack. Related Posts Why Tech Companies Need Simpler Terms of Servic… sarah perez In case there was any doubt whether or not the iTunes model for application sales could work on the desktop, today’s news from Apple should dispel those concerns. The company has announced this morning that the number of downloads from its newly launched Mac App Store surpassed 1 million within the first 24 hours.The store, which launched yesterday morning to bring a centralized repository of OS X compatible applications to Mac users, now includes over 1,000 free and paid software programs. And as with iTunes, the apps are organized by category, are ranked by top paid, free and top grossing, and are rated and reviewed by customers.According to Apple CEO Steve Jobs, the company is “amazed at the incredible response” the store is getting. Given that there are 50 million Mac users in use worldwide, it’s not really all that surprising to us, however. But it’s a great start, nonetheless.Top Paid AppsAs of this morning, the top paid charts featured a collection of Apple software programs like iPhoto, iMovie and Pages as well as games, including the ever-ubiquitious Angry Birds, which soared in to the number one spot. It’s unclear if Angry Birds’ rise was at all affected by the recent reports of Mac App Store piracy.To catch you up: apparently, Rovio, the creators of Angry Birds, in addition to many other Mac App Store developers, neglected to follow Apple’s guidelines on validating App Store receipts for purchases. A Web Developer’s New Best Friend is the AI Wai…center_img What this means is that, for some applications, you could copy the receipt from any other Mac App Store download (even free apps) into a copy of the paid app you want to use and it will run.The procedure for doing so is a bit more hacker-y than some news reports have implied, though. You have to delve into the Package Contents of the app’s dmg file, navigate to a particular folder and delete specific files. You then copy and paste those same files from the free app’s folder to the paid one. In other words, you would need to know these specific instructions before doing this – it’s not a matter of simply copying-and-pasting a receipt number, like you would have on some brick-and-mortar retail store’s receipt, into a field or pop-up notification within the paid app.For average to fairly technical users, the hack is a piece of cake. But for the millions who chose Mac because “it just works” and who were stymied by the complexities of Windows systems, even a simple hack like this is likely over their heads.That being said, it will be interesting to watch the ratings to see if anything changes with regards to Angry Birds’ standings after Rovio closes – as they surely will – this security hole.The full top 12, as of this morning, is as follows:Angry Birds Chopper 2 iPhoto (Apple)iRingtones AperturePinball HDFlight Control HD iMovie (Apple)iHomeworkThe IncidentPixelmatorPagesFree Apps Top Reasons to Go With Managed WordPress Hosting Tags:#Apple#news#NYT#web 8 Best WordPress Hosting Solutions on the Marketlast_img read more

AI Does Not End With Datasets

first_imgChina and America want the AI Prize Title: Who … Zhenya Mirkin AI: How it’s Impacting Surveillance Data Storage I remember my undergraduate professor in AI saying, “AI is what they call machine intelligence they don’t yet fully understand. Once they understand it, it is no longer considered AI. Once robotics was well understood, it was no longer AI and became its own branch. Once computer vision was understood, it became independent. Speech recognition and natural language processing followed that route too.” Perhaps, the only field that is well understood and yet is so central to AI that separating would render AI meaningless, is machine learning, the science of using complex math-heavy algorithms to interpolate latent functions. It is because of this special status that we end up with slogans such as “AI and Machine Learning” sometimes, which is a bit like saying “Math and Calculus”.Machine learning (that includes the more famous branch called “deep learning”) is certainly crucial. ML algorithms are common to many AI areas and they are that very esoteric crux which helps the machine to guess desired outcomes off some obscure inputs. Load up a data set into an model and voila – you get predictions. ML makes that happen. Media gets the message. If you read most popular articles these days, you may just believe that AI will magically solve everything and everywhere. The overarching recipe is banal to a fault – collect a data set, find the ML algorithm that can interpolate the problem’s complexity, train a model, and collect cash. Simple.And yet as any real AI practitioner knows, ML, while vital, is not heart of the matter. A seminal NIPS paper by Google ML researchers explained in depth that machine learning is only a miniscule part of what makes an AI application. The bulk of work is around optimizing pipelines, collecting clean data and extracting features that are palatable to the ML model and are maintainable in a dynamic environment. This is particularly pronounced in natural-language understanding, where in order to extract features palatable to the classifier model, one needs to address misspellings, stemming, stopwords, disambiguate entity references, possibly, look at context, understand that people often use made-up words, be ready for a slowly changing vocabulary and topic distribution, and a myriad of other things.One might ask, why not skip that altogether and load the task into an powerful deep learning box? Surely, we can trade complexity of modeling the data for spending more time during the training stage? Well, good luck. Have you tried predicting weather off tree rings? They are correlated… Your machine should be able to find the path from one to the other. Problem is, you may be long resting peacefully underground by the time that happens. Some of the most powerful supercomputers used to predict weather off far more impactful signals still make inaccurate predictions. There is a reason – exponential complexity in computation is no joke. Many of the input feature have different degree of impact on the end result and most are not even independent of one another – an attribute that is diametrically opposite the prevalent assumption in the design of ML algorithms.This is where domain expertise becomes invaluable. Simply put, a human expert can prune a lot of unnecessary computation by offering shortcuts to the machine. This is done by modeling inference paths using the knowledge human experts accumulated in a particular domain over many years. Continuing with NLU, a good example is enriching the data with information from linguistics such as parts of speech, sentence structure (i.e. parse trees), orthography, etc. To understand the benefit, consider how a complex project can be managed effectively. The first thing you do is break it up and establish intermediate milestones. These are smaller in scope, easier to define, and, therefore, easier to reach. Achieving the bigger whole is then reduced to reaching each intermediate milestone, which is easier to define and track. Same with NLU – establishing intermediate steps helps re-define the problem in terms of tying the intermediates together.But there is more to modeling than taking shortcuts. Proponents of training off data sets overlook the plethora of domains where it is very hard to even define how to compile a data set for training. That means one will have a hard time explaining to an annotator (the one who labels the data set with expected results) the logic of how to come up with an expected result for each data sample. Sometimes, it is the ambiguity of labels that complicates things. Other times, it is the complexity of analyzing the input data – it may be outright impossible to provide the required sensory data to the human. In the physical world, certain measurements may be dangerous to the annotator (e.g. if your inputs are gasses). Each of these circumstances instantly renders the whole process of collecting data unviable from the start. Your choice of ML model will not matter if you cannot produce the input data!It may be worth re-examining all those fields that “branched off” from AI. A common theme among them is the incredible amount of domain modeling and knowledge. For instance, robotics relies on the physics of motion, mechanics, materials, electrical engineering, optics, and other more rudimentary sciences. While the end result may be feeding images into a CV unit, the bulk of “magic” actually happens before then. In other words, it is not ML at all that makes for a “magical” AI application, but a concoction of axioms, theorems, measurements, tuning, and the like that describe the domain about which the system is making predictions. ML is just icing on the cake. Instead of relying on the machine to correlate inputs with outputs, applications in these fields put domain knowledge first, building out their technology bottom-up – from basic rules to complex systems, possibly bridging some steps with ML. Their overall composition is always driven by the domain logic.The benefits of doing so are aplenty. First, you no longer have to rely heavily on manual data collection, which, as we discussed, is rife with constraints and errors. This allows for a more comprehensive coverage of your domain. Just think of what you’d rather have, a rule for multiplication of 2 numbers or an infinite table listing products of different pairs of reachable numbers? Second, you are able to explain the inference to the end user.Instead of highlighting how your back-propagation went on the 7th hidden layer, you can explain that it was a certain domain feature with a real English name that affected results the most. Thirdly, it allows for a cleaner assembly of the product and the ability to replace components with more optimal implementations. Try doing that with an ML pipeline! (this is where it’s worth reading the aforementioned NIPS paper again)So what, you may ask? By now you may agree that domain modeling is crucial for effective implementation. You decide to hire domain experts and carry on. Is there more to it? Yes! Because domain modeling is so central to AI applications, it can also serve as a compass to finding novel untapped applications of AI! To put it in different words, to find new opportunities, seek a out a field where data is hard to collect while the general domain environment is well understood and merely lacks automation. It is in those spaces where one can close small gaps between two clusters of domain knowledge with a simple ML bridge and suddenly get to a far more impressive result. And, unlike the “we’ll correlate everything with everything crowd”, you will have the advantage of the complete domain coverage, far better descriptive power, and, ultimately, a more robust product. Related Posts center_img A Web Developer’s New Best Friend is the AI Wai… AI Will Empower Leaders, Not Replace Them Zhenya Mirkin is an Inventor of Entropy AI and partner at Caura & Co.. In the 2000s, he led the development of predictive text input software (called “iTAP”) that shipped on all Motorola phones worldwide. last_img read more

Inquirer 7 top UAAP 80 women’s volleyball players: Week 2

first_imgDon’t miss out on the latest news and information. John Lloyd Cruz a dashing guest at Vhong Navarro’s wedding It’s been just two weeks but it doesn’t mean drama hasn’t already shaped on the surface of the UAAP Season 80 women’s volleyball tournament.National University and defending champion De La Salle are unblemished after five match days, Ateneo managed to escape a winless week, and University of Santo Tomas has stumbled into a rough path due to injuries to Rica Rivera and Milena Alessandrini. FEATURED STORIESSPORTSWATCH: Drones light up sky in final leg of SEA Games torch runSPORTSLillard, Anthony lead Blazers over ThunderSPORTSMalditas save PH from shutoutEnough introductions, here are the seven best players of Week 2.READ: Week 1 Read Next Every week, INQUIRER Sports will be ranking the seven best performers in the UAAP Season 80 women’s volleyball tournament. The author will base the rankings on the players’ team standings, statistics, and the intangibles that don’t appear on the stat sheets.ADVERTISEMENT Trending Articles PLAY LIST 00:50Trending Articles01:00Chief Justice Peralta on upcoming UAAP game: UP has no match against UST00:50Trending Articles01:29Police teams find crossbows, bows in HK university01:35Panelo suggests discounted SEA Games tickets for students02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City From offense, let’s switch things to defense. Dawn Macandili is undoubtedly the best libero in the UAAP right now.Her mere presence alone changes offensive schemes opposing teams have planned for against La Salle, and Macandili’s uncanny intimidation was on display when the Lady Spikers took on the Lady Maroons.UP almost made a conscious effort to target everybody except Macandili during its serves.It was Desiree Cheng who registered the most excellent receptions for La Salle with seven and Macandili’s name didn’t even pop up in the reception box. What the Lady Maroons didn’t escape though was Macandili’s constant movement as La Salle’s defensive dynamo tallied 17 excellent digs.Macandili’s motor was in overdrive against UP that she even ducked underneath the net, crossing over to UP’s side of the floor just to keep the ball in play.Jasmine Nabor. Photo by Tristan Tamayo/INQUIRER.net6. Jasmine Nabor (National University, setter)Last week: N/AWeeks on list: 1 And Ravena has slowly proven that she can become Ateneo’s backbone on the defensive end.Ateneo won its first game this season, 1-2 so far in the tournament, and it was thanks to no small part to Ravena’s play.Ravena registered 13 excellent digs and 10 receptions in the Lady Eagles’ victory over UST. NEXT BLOCK ASIA 2.0 introduces GURUS AWARDS to recognize and reward industry influencers Jasmine Nabor is the Robin to Santiago’s Batman.Santiago, for all her prowess, still needs someone to toss her the ball and that’s what Nabor has done with the greatest of ease so far in this tournament.It’s almost an automatic point for NU whenever the two stars connect and Nabor, for this week, averaged 34.5 excellent sets helping the Lady Bulldogs go undefeated in their two games in Week 2.Nabor is also no pushover when it comes to crossing the ball to the other side of the floor as the playmaker averages seven points a game.Dani Ravena. Photo by Tristan Tamayo/INQUIRER.net Cherry Rondina. Photo by Tristan Tamayo/INQUIRER.net4. Cherry Rondina (University of Santo Tomas, outside hitter)Last week: No. 7Weeks on list: 2Cherry Rondina just became the “What if?” player of this week.UST split its two games this week and is now at 1-2 overall, but what if the Golden Tigresses won both games? The answer, Rondina could’ve been the No.1 player.Rondina is utterly unstoppable this season and she has scored the most points this season, 70, and the most points in a single game, 28 in UST’s season-opener in Week 1.The Cherry Bomb does not have the same efficiency as Santiago, Rondina is at 42 percent in her spiking conversion, but UST’s skipper knows how to put points on the board.5. Dawn Macandili (De La Salle University, libero)Last week: No.6Weeks on list: 2 7. Dani Ravena (Ateneo de Manila University, libero)Last week: N/AWeeks on list: 1Before the start of the season, Ateneo was yet to see who among its four liberos will be the starter or main defensive anchor.First it was Jenelle Lo, who got the nod in the season opener, but for the past two games the role was passed to Dani Ravena. 2 ‘newbie’ drug pushers fall in Lucena sting Jaja Santiago. Photo by Tristan Tamayo/INQUIRER.net1. Jaja Santiago (National University, middle blocker)Last week: No. 3Weeks on list: 2 It’s hard to argue with perfection, and NU has been nothing but perfect heading into the season.In the middle, literally, of the Lady Bulldogs’ 3-0 start is their towering captain Jaja Santiago.ADVERTISEMENT Typhoon Kammuri accelerates, gains strength en route to PH AFP official booed out of forum Brace for potentially devastating typhoon approaching PH – NDRRMC Cobb, in one game, etched her own chapter in La Salle history when she scored three straight service aces to bury the Lady Maroons in as many sets, 25-21, 25-22, 26-24. La Salle improved to 2-0, and in the lone game the Lady Spikers played this week Cobb had 10 points, seven service aces, and 32 excellent sets.Jema Galanza. Photo by Tristan Tamayo/INQUIRER.net3. Jema Galanza (Adamson University, outside hitter)Last week: N/AWeeks on list: 1 Jema Galanza was subpar in Adamson University’s season-opener in a25-15, 25-23, 16-25, 25-13 loss to NU.The charming Galanza, who played her first game after her right ankle injury in the offseason, scored just six points that barely inspired her teammates to battle back against the Lady Bulldogs.Adamson’s skipper dutifully made up for it in an upset win over Far Eastern University, 25-23, 19-25, 25-22, 21-25, 15-12, that saw her erupt for 26 points.To put things in perspective, Galanza’s 26 points is the second-highest scoring output, tied with Santiago against Ateneo, so far this season. Adamson, now at 1-1, is now on pace to exceed its record from last year as the Lady Falcons didn’t get their first victory in Season 79 up until the final game of the eliminations.  Slow and steady hope for near-extinct Bangladesh tortoises LATEST STORIES MOST READ And in the two NU wins this week, Santiago has been nothing short of spectacular averaging 24.5 points a game and becoming the second leading scorer in the league in terms of total output.Not only is Santiago scoring at a high rate, she’s doing it at an efficient way converting 53 percent of her spikes.And if Santiago was a mere “what if?” in last week’s rankings after producing just 16 points, she proved that it’s just a flick of the switch to turn her passivity to offensive volatility.Michelle Cobb. Photo by Tristan Tamayo/INQUIRER.net2. Michelle Cobb (De La Salle University, setter)Last week: N/AWeeks on list: 1A player with a narrative attached to her name is always a terrific story angle, and Michelle Cobb is just that.The 18-year-old Cobb became the unsuspecting heir to one of La Salle’s greatest players ever.From the moment Cobb was named the starting setter for the defending champions, she immediately drew comparisons to Kim Fajardo. And in the Lady Spikers’ shutout win over University of the Philippines, Cobb wanted everyone to know she will make her own legacy through her own style and through, as fate would have it, heroism. Go for Gold halts two-game skid, turns back Perpetual Help Globe Business launches leading cloud-enabled and hardware-agnostic conferencing platform in PH View commentslast_img read more