first_imgSeveral members of the Donegal Mountain Rescue team last night took part in the rescue of two young men who became stuck on Ben Bulben in Sligo.The men became caught on the north face of the mountain but were located safe and well after 11pm.The men, in their late tens and early 20s, had no major injury issues but were very wet and cold.Several members of the DMRT assisted their colleagues in Sligo on the mission.The Rescue 118 helicopter from Strandhill provided illumination of the site to help expedite the mission.Well done to all.DONEGAL MOUNTAIN RESCUE TEAM TAKE PART IS SUCCESSFUL SLIGO MISSION was last modified: June 28th, 2015 by StephenShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window) Tags:Ben BulbenDMRTsligolast_img read more

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November 27, 2019

SPORT-LD SELECTION 2

first_imgThe most surprising aspect of the selection was Aravind The most surprising aspect of the selection was Aravind getting a look-in as he has exactly not set the stage on fire after he was once selected for a ODI home series against England back in 2011. He was dropped after that series without even being played in a single match. During this years IPL, 31-year-old Aravind picked eight wickets in five matches for Royal Challengers Bangalore. In fact in the Karnataka Premier League, he went wicketless in four matches before getting three wickets for India A in the first one-day against Bangladesh. One aspect of Aravind is that he can also bowl left-arm spinners if the conditions dont suit his slow medium stuff. Asked about the selection of bowlers including Aravind, Patil said,”Looking ahead at the World T20, we wanted variation. We wanted to give opportunities to those who have done well in the domestic circuit, tri-series and A series. We wanted to give chance to those bowlers who have done well as we plan to pick the best for the World Cup.” On pacer Mohammed Shamis injury status, the chairman stated that the Bengal speedster is undergoing rehabilitation. “Shami is still undergoing rehab and he will join the camp tomorrow and then we will take a call. Roger Binny (selector) will be there at the camp. The selection committee is in touch with physio Patrick Farhart and we hope he recovers fast as we want him back in the team,” said Patil. Gurkeerats call up was a deserving one as the Punjab youngster recently scored an unbeaten 87 to win a tri-series final against Australia A. He followed that up with a half-century and a five wicket haul against Bangladesh A in the first of the three-match series. Gurkeerat has been a member of the Kings XI Punjab squad for past few years and his average of 47.55 in 39 List A matches in which he has scored 1379 runs is an impressive. His bowling has developed of late as 7 of his 10 List A scalps have come playing for India A. “The moment we looked at Gurkeerat, we looked at his all-round ability. We certainly want not one but more. Looking at the need of the hour and the current playing norms, we need to have more all-rounders. Gurkeerat has been performing for last two years. He has also played for India A and we have seen him performing. We are happy that he has made the cut into the Indian team,” said the hard-hitting batsman of yesteryears. More PTI BDN KHS MRM FK KHSadvertisementlast_img read more

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first_imgFacebook wants to be more than just a social media platform. The company has been dabbling in virtual reality, software development, open-source software, Internet access, and more recently artificial intelligence.“Many people think of Facebook as just the big blue app, or even as the website, but in recent years we’ve been building a family of apps and services that provide a wide range of ways for people to connect and share,” wrote Facebook CTO Mike Schroepfer in a blog post. “From text to photos, through video and soon VR, the amount of information being generated in the world is only increasing. The best way I can think of to keep pace with this growth is to build intelligent systems that will help us sort through the deluge of content.”Through Facebook AI Research, the company has been looking into image recognition and natural-language understanding, and it said it reached major milestones in its quest to make machines see and understand.(Related: Researchers train AI by letting it play games)“Our researchers have been working to train systems to recognize patterns in the pixels so they can be as good as or better than humans at distinguishing objects in a photo from one another—known in the field as ‘segmentation’—and then identifying each object,” Schroepfer wrote. The company plans to present its latest object detection system next month, but he said users can expect it to work 30% faster than other systems, using 10x less training data.When it comes to natural language understanding, the company has developed a new technology, Memory Networks (a.k.a. MemNets) that help deep-learning systems understand language more like humans. With the combination of Facebook’s computer vision and natural language understanding, Schroepfer believed the company will be able to help the visually impaired understand what is in an image. “This is still very early in its development, but the promise of this technology is clear,” he wrote.In addition, the company has been experimenting with prediction and planning, and with trying to understand how systems can potentially learn through observation and make predictions based on its observations. “This is something you and I do naturally—for example, none of us had to go to a university to learn that a pen will fall to the ground if you push it off your desk—and it’s how humans do most of their learning,” said Schroepfer. “But computers still can’t do this; our advances in computer vision and natural language understanding are still being driven by supervised learning.”So far, the company has developed a system that watches visual tests and predicts the outcome. According to Schroepfer, the system’s predictions are correct 90% of the time.The company is also beginning to look into how to teach its systems to plan by using games to train machines. Together, all of these technologies the company is working on will go into their new AI assistant, called M.“Our AI research, along with our work to explore radical new approaches to connectivity and to enable immersive new shared experiences with Oculus VR, is a long-term endeavor,” Schroepfer wrote. “It will take a lot of years of hard work to see all this through, but if we can get these new technologies right, we will be that much closer to connecting the world.”last_img read more

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