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Secrets to successful social business campaigns with Navy Federal Credit Union’s Michael Toner

first_img 54SHARESShareShareSharePrintMailGooglePinterestDiggRedditStumbleuponDeliciousBufferTumblr In the finicky world of social media, selling is a big “no-no.” If you try to sell anything on Facebook, Twitter, YouTube, and the like, your followers will leave you faster than moviegoers emptying the seats after the first five minutes of Meatballs 2. That was a bad movie.But the folks at Navy Federal Credit Union have become immune to this social selling repugnancy. In fact, they’ve become pretty darn good at generating revenue in the social media realm. If you recall, we had Navy Fed’s Jennifer Sadler on the show (episode #233) last year sharing how the credit union generated over $200 million in loans from its Facebook page. continue reading »last_img read more

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Sound Beach Man Charged With Fatal Hit-and-run

first_imgSign up for our COVID-19 newsletter to stay up-to-date on the latest coronavirus news throughout New York A suspected hit-and-run driver has been arrested for allegedly killing a 40-year-old woman while the victim was walking in her hometown of Miller Place last year, Suffolk County police said.Christopher Campbell, 35, of Sound Beach, was charged Tuesday with leaving the scene of an incident without reporting involving a fatality.Vehicular Crimes Unit detectives said that the suspect was driving a box truck eastbound on North Country Road when he struck Tracy Mangino while she was walking along the road shortly after 11 p.m. Saturday, Oct. 18, 2014.The victim died at John T. Mather Hospital Memorial Hospital in Port Jefferson.Campbell will be arraigned Tuesday at First District Court in Central Islip.last_img read more

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Batesville School Sports Important Events

first_imgBatesville School Sports Important Upcoming Events.April 1st    2014-2015 All-Sport Tickets go on sale.  Student-athletes presently in grades 9ñ11 will be selling these as our spring fundraiser.  Tickets will also be available at the Batesville High School and Middle School athletic offices.April 9th     Attention Grades 8, 9, 10, and 11:IHSAA Sports Physicals for the 2014-2015 school year, sponsored by MMCH, will be Wednesday, April 9 at the Hansen Center for only $20.  Only cash and/or checks accepted.  Time: 5:00 ñ 7:00 p.m.  Please have pages 1 and 4 of the physical completed.  This will be for students presently in grades 8 through 11.  MMCH donates the money back to our athletic department to sponsor our Athletic Trainer so we encourage everyone to take advantage of this win/win event.  The I.H.S.A.A. now requires physicals to be on file BEFORE summer conditioning / open facility / camp participation.  THIS IS A MUST!  If you have a conflict on this date, try to attend on Wednesday, April 23rd.April 23rd    Attention Grades 5, 6, and 7:IHSAA Sports Physicals for the 2014-2015 school year, sponsored by MMCH, will be Wednesday, April 23 at the Hansen Center for only $20.  Only cash and/or checks accepted.  Time: 5:00 ñ 7:00 p.m.  Please have pages 1 and 4 of the physical completed.This will be for students presently in grades 5 through 7.  MMCH donates the money back to our athletic department to sponsor our Athletic Trainer so we encourage everyone to take advantage of this win/win event.  The I.H.S.A.A. now requires physicals to be on file BEFORE summer conditioning / open facility / camp participation.  THIS IS A MUST!  If you have to miss this date, you may attend on Wednesday, April 9th.April 16th    All-Sport Ticketsí student-athlete sale ends.  All-Sport tickets will remain available for purchase at the high school and middle school athletic offices through the 2014-2015 Winter season.June 30th ñ July 6th        IHSAA Moratorium Week ñ NO student-athlete / coach contact.July 28th ñ August 2nd    Conditioning only.  NO open facility.  Exception is Girls Golf.August 1st             High School Girls Golf practice begins.August 4th            First practice for high school:  Boys & Girls Cross Country,Football, Boys & Girls Soccer, Boys Tennis, and Volleyball.Note – A completed physical and an IDOE Concussion Acknowledgement form with all signatures and insurance information must be on file before an individual may participate in summer conditioning, open facilities and/or summer camps.  An individual must have ten (10) separate days of practice before being eligible to participate in a game.  Therefore it is imperative that paperwork is completed as soon as possible, and that is possible by attending the MMCH sponsored physicals on dates provided.Submitted by Batesville AD Mark Ferguson.last_img read more

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Chelsea into Club World Cup final

first_imgChelsea FC will face SC Corinthians Paulista for the FIFA Club World Cup on Sunday after seeing off CF Monterrey 3-1 in Yokohama with Juan Mata and Fernando Torres on target.Chelsea FC will face SC Corinthians Paulista for the FIFA Club World Cup on Sunday after seeing off Mexico’s CF Monterrey 3-1 in Yokohama.The first London side ever to compete for the global title after their UEFA Champions League triumph last season, Chelsea went ahead before the interval through Juan Mata. In the opening three minutes of the second half a deflected Fernando Torres effort and a Dárvin Chávez own goal ensured their place in the decider.Monterrey, who won their second straight CONCACAF Champions League last season, reached the semi-finals in Japan by beating Asian representatives Ulsan FC of South Korea 3-1, but were on the defensive from the start against a Chelsea team deploying David Luiz in midfield. Mata, who also scored on his Premier League, FA Cup and UEFA Champions League debuts for Chelsea, broke the deadlock on 17 minutes after being set up by Oscar and Ashley Cole.It remained 1-0 at half-time but the lead was soon trebled. Less than 20 seconds had elapsed from the restart when Eden Hazard cut back to Torres, whose effort ricocheted into the net. Two minutes later Torres sent Mata through down the right and his cross was turned in by the luckless Chávez. Aldo de Nigris pulled one back in added time.Mata said “I am so glad today. The win, the way that we won, this is a very important tournament for us. We want to win the trophy and be world champions on Sunday.” Manager Rafael Benítez will now aim to win the tournament for the second time in three years having led FC Internazionale Milano to victory in 2010, five years after a loss to São Paulo FC with Liverpool FC. Copa Libertadores holders Corinthians await his side, having overcome African champions al-Ahly SC 1-0 on Wednesday with a goal from former FC Bayern München and Hamburger SV striker José Paolo Guerrero.last_img read more

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Qantas profit plunges downward but stays in black

first_imgQantas said it remained cautious today after reporting a $58 million profit after tax in the first financial half of the year, a fraction of the $210 million achieved a year earlier and has opted not to pay out a dividend this year.This result comes after sales dropped 14% down to $6.9 billion for the July to December period.Speaking to reporters this morning, Qantas chief executive Alan Joyce said the carrier’s performance was good given the state of the economy.He said domestic leisure demand remained strong but admitted that the global downturn significantly affected international premium traffic.“While international yields are improving, they are expected to continue to lag behind the recovery of the domestic market in the short to medium term” Joyce attributed the slower recovery in the international market to a lagging U.S. and U.K. market and increased competition on the Pacific route from V Australia and Delta, which have hiked capacity up by 30 percent.The carrier’s profits continued to be boosted by its low cost subsidiary Jetstar and its Frequent Flyer loyalty program which formed an alliance with Woolworths Group last year.Qantas said it would not pay a dividend due to the unprecedented and challenging operating environment.Aircraft to cut down on premium seating Qantas also announced it would invest $400 million to upgrade seats and in-flight entertainment on 9 Boeing 747-400 aircraft and reconfigure its A380 fleet.The Boeing aircraft will feature the carrier’s fully flat Skybed sleeper seats and state-of-the-art on-demand Panasonic inflight entertainment in all classes. They will also be stripped of all first class cabins and replaced by business seats.Joyce said the reconfiguration would see Qantas’s A380s pare down on first and business class seating and provide more premium economy and economy seats to meet slower demand.However, he stressed that the decrease in first class seats did not mean Qantas was pulling back from its premium business.Rather it was to align the A380 offering with forecast demand which is expected to be down by 40 percent, Joyce told reporters.Upgrades and reconfigurations to the aircraft will start from the end of 2011, with completion scheduled in 2013. Source = e-Travel Blackboard: J.L <a href=”https://sp2.img.hsyaolu.com.cn/wp-shlf1314/2031/IMG8505.jpg” alt=”last_img” /> read more

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Scientists make a mazerunning artificial intelligence program that learns to take shortcuts

Self-navigating AI learns to take shortcuts: study Explore further Interview with Caswell Barry about grid cells. Credit: DeepMind Among the neurons associated with these “cognitive maps”: place cells, which light up when their owner is in some particular spot in the environment; head-direction cells, which tell their owner what direction they’re facing; and grid cells, which appear to respond to an imaginary hexagonal grid mapped over the surrounding terrain. Every time a person steps on a “node” in this grid, the neuron fires. An AI system learns to take shortcuts. Credit: Nature (2018). DOI: 10.1038/s41586-018-0102-6 ©2018 Los Angeles Times Distributed by Tribune Content Agency, LLC. The emergence of these computational “grid cells,” described in the journal Nature, could help scientists design better navigational software for future robots and even offer a new window through which to probe the mysteries of the mammalian brain.In recent years, AI researchers have developed and fine-tuned deep-learning networks—layered programs that can come up with novel solutions to achieve their assigned goal. For example, a deep-learning network can be told which face to identify in a series of different photos, and through several rounds of training, can tune its algorithms until it spots the right face virtually every time.These networks are inspired by the brain, but they don’t work quite like them, said Francesco Savelli, a neuroscientist at Johns Hopkins University who was not involved in the paper. So far, AI systems don’t come close to emulating the brain’s architecture, the diversity of real neurons, the complexity of individual neurons or even the rules by which they learn.”Most of the learning is thought to occur with the strengthening and weakening of these synapses,” Savelli said in an interview, referring to the connections between neurons. “And that’s true of these AI systems too—but exactly how you do it, and the rules that govern that kind of learning, might be very different in the brain and in these systems.”Regardless, AI has been really useful for a number of functions, from facial recognition to deciphering handwriting and translating languages, Savelli said. But higher-level activities—such as navigating a complex environment—have proved far more challenging.One aspect of navigation that our brains seem to perform without conscious effort is path integration. Mammals use this process to recalculate their position after every step they take by accounting for the distance they’ve traveled and the direction they’re facing. It’s thought to be key to the brain’s ability to produce a map of its surroundings. Interview with Matt Botvinick about neuroscience and AI. Credit: DeepMind Grid cells appear to be so useful for path integration that this faux-rodent came up with a solution eerily similar to a real rodent brain. The researchers then wondered: Could grid cells also be useful in another crucial aspect of mammal navigation?That aspect, called vector-based navigation, is basically the ability to calculate the straight-shot, “as the crow flies” distance to a goal even if you originally took a longer, less-direct route. That’s a useful skill for finding shortcuts to your destination, Savelli pointed out.To test this, researchers challenged the grid-cell-enabled faux-rodent to solve a maze, but blocked off most of the doorways so the program would have to take the long route to its goal. They also modified the program so it was rewarded for actions that brought it closer to the goal. They trained the network on a given maze and then opened shortcuts to see what happened.Sure enough, the simulated rodent with grid cells quickly found and used the shortcuts, even though those pathways were new and unknown. And it performed far better than a faux-rodent whose start point and goal point were tracked only by place cells and head-direction cells. It even beat out a “human expert,” the study authors said.The findings eventually could prove useful for robots making their way through unknown territory, Savelli said. And from a neuroscientific perspective, they could help researchers better understand how these neurons do their job in the mammalian brain.Of course, this program was highly simplified compared to its biological counterpart, Savelli pointed out. In the simulated rodent, the “place cells” didn’t change—even though place cells and grid cells influence each other in complex ways in real brains.”By developing the network such that the place-cell layer can be modulated by grid-like inputs, we could begin to unpack this relationship,” Savelli and Knierim wrote.Developing this AI program further could help scientists start to understand all the complex relationships that come into play in living neural systems, they added.But whether they want to hone the technology or use it to understand biology, scientists will have to get a better handle on their own deep-learning programs, whose solutions to problems are often hard to decipher even if they consistently get results, scientists said.”Making deep-learning systems more intelligible to human reasoning is an exciting challenge for the future,” Savelli and Knierim wrote. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. Citation: Scientists make a maze-running artificial intelligence program that learns to take shortcuts (2018, May 11) retrieved 18 July 2019 from https://phys.org/news/2018-05-scientists-maze-running-artificial-intelligence-shortcuts.html Call it an a-MAZE-ing development: A U.K.-based team of researchers has developed an artificial intelligence program that can learn to take shortcuts through a labyrinth to reach its goal. In the process, the program developed structures akin to those in the human brain. More information: Andrea Banino et al. Vector-based navigation using grid-like representations in artificial agents, Nature (2018). DOI: 10.1038/s41586-018-0102-6 Journal information: Nature “Grid cells are thought to endow the cognitive map with geometric properties that help in planning and following trajectories,” Savelli and fellow Johns Hopkins neuroscientist James Knierim wrote in a commentary on the paper. The discovery of grid cells earned three scientists the 2014 Nobel Prize in physiology or medicine.Humans and other animals seem to have very little trouble moving through space because all of these highly specialized neurons work together to tell us where we are and where we’re going.Scientists at DeepMind, which is owned by Google and University College London, wondered whether they could develop a program that could also perform path integration. So they trained the network with simulations of paths used by rodents looking for food. They also gave it data for a rodent’s movement and speed as well as feedback from simulated place cells and head-direction cells.During this training, the researchers noticed something strange: The simulated rodent appeared to develop patterns of activity that looked remarkably like grid cells—even though grid cells had not been part of their training system.”The emergence of grid-like units is an impressive example of deep learning doing what it does best: inventing an original, often unpredicted internal representation to help solve a task,” Savelli and Knierim wrote. read more