Boeheim, Syracuse seniors reflect on 1st season in ACC, move from Big East

first_imgBUFFALO, N.Y. — More than any other coach leading a team in Buffalo for the opening weekend of the NCAA Tournament, Jim Boeheim gets asked to reminisce.He looked back at some milestone wins on Wednesday, and even recalled his first NCAA Tournament.But after coaching Syracuse during its first season in the Atlantic Coast Conference this year, Boeheim had something new to reminisce about: the Big East and how it compared to his first season in the new league.“The restaurants were pretty good,” the SU head coach joked. “It surprised me. They were really pretty good.”Otherwise, though, Boeheim and seniors C.J. Fair and Baye Moussa Keita said the conferences aren’t so different.AdvertisementThis is placeholder textComing into the league, Fair heard all about how different the styles of the leagues were. The Big East was a physical, grind-it-out conference. The ACC was all about up-and-down, high-speed hoops.Instead, the ACC looked even more like the Big East than the Big East sometimes did. The additions of Syracuse and Pittsburgh, as well as Virginia finding an identity as a slow team, gave the conference a variety of looks and styles.“I think the physicality of the ACC was underestimated, or underrated,” Fair said. “It’s just you get a taste of everything in the ACC, not just one style.”Unanimously, both players said the biggest thing that they missed from the Big East was the postseason play. The ACC Tournament is a highly competitive week of play, but it doesn’t induce the same nostalgia as the tournament in Madison Square Garden.“You have the opportunity to go and see different places. But the one thing I would miss is the Big East tournament, the rivalry between us and different schools,” Keita said. “We were just watching the Georgetown game again, us and them, so it’s just a big rivalry. But now you have to make new rivalries starting this year.”But while the Tournament may have been the same as it has been, the league the Orange left was far different than the one that SU helped found in 1979.That league — the one with Providence, St. John’s, Georgetown, Seton Hall, Connecticut, Boston College, Villanova and Pittsburgh — is the one that Boeheim is nostalgic about. Not the one that had ballooned to feature Rutgers, West Virginia, Miami (Fla.), Virginia Tech, DePaul and Marquette.“You didn’t know who was going to be where,” Boeheim said. “It just wasn’t the same.”His only worry was about how the fans would react, and they turned out in droves and gave Syracuse its best attendance since 1993.The Big East was an old, familiar ship, but old ships begin to sink at some point, and the Orange got off in time to find solid ground.“We got to a league that is going to be stable, as stable as you can be,” Boeheim said. “And given the people that run college basketball or athletics, I think it will be stable.“You never know how things are going to be, but it turned out really good. Really good.” Comments Facebook Twitter Google+ Published on March 19, 2014 at 3:56 pm Contact David: | @DBWilson2last_img read more

PODCAST: Breaking down USC football’s win over Western Michigan

first_imgAssociate managing editor Eric He and sports editors Ollie Jung and Julia Poe break down USC’s win on Saturday over Western Michigan.Intro music: 10K by Joakim

Prepared by FFWPU Angola In compliance with the YS

first_imgPrepared by FFWPU AngolaIn compliance with the YSP global program, inaugurated on September 23, 2017, in Seoul by Dr. Hak Ja Han Moon. In Angola, the official launch was held on 29th September 2018, in the Conference Room of the Parish of St. Paul of the Catholic Church.The guests were welcomed by Brother José Calembe, who then gave the floor to the National Leader Rev. Kinambuta Sambu Pedro – President of the Federation of Families who made the declaration of the purpose and motion of thanks, which followed with the video presentation of the launch of YOUTH & STUDENTS FOR PEACE in other countries.The inaugural speech was made by Manuel Baveca – National President of YOUTH & STUDENTS FOR PEACE – Angola. That was followed by a cultural moment and a message of congratulations.To close the activity there was the closing speech made by Prof. and leader of the blessed families Gilberto Evangelista. That culminated with the family photo and the signing of the resolution of the launch.Click to see more pictureslast_img read more

Artificial intelligence learns teamwork in a deadly game of capture the flag

first_img Initially the bots acted randomly. But when their actions scored points, the connections that led to the behavior were strengthened through a process called reinforcement learning. The training program also culled the bots that tended to lose and replaced them with mutated copies of top performers inspired by the way genetic variation and natural selection help animals evolve.After 450,000 games, the researchers arrived at the best bot, which they named For The Win (FTW). They then tested it in various matches with a mirror FTW, an FTW bot missing a crucial learning element, the game’s in-built bots, and humans. Teams of FTW bots consistently outperformed all other groups, though humans paired with FTW bots were able to beat them 5% of the time, they report today in Science.The FTW bots learned to play seamlessly with humans and machines, and they even developed classic cooperative strategies, says study co-leader Max Jaderberg, an AI researcher at Google-owned DeepMind in London. Those strategies included following teammates in order to outnumber opponents in later firefights and loitering near the enemy base when their teammate has the flag to immediately grab it when it reappears. In one test, the bots invented a completely novel strategy, exploiting a bug that let teammates give each other a speed boost by shooting them in the back.“What was amazing during the development of this project was seeing the emergence of some of these high-level behaviors,” Jaderberg says. “These are things we can relate to as human players.”The approach is still a long way from working in the real world, Jaderberg adds. But the advance is good for more than computer games. If AI can learn to work in teams, it could make everything from self-driving cars that avoid crashes by coordinating with each other to robotic surgical assistants that help out doctors during procedures.Still, Littman warns against extrapolating too much from a relatively simple computer simulation. “It could be that the details of this particular game require only a very narrow slice of what we think of as teamwork,” he says. And that, he says, means there’s no guarantee the same approach would teach AI to work as a team on other tasks. DeepMind Artificial intelligence learns teamwork in a deadly game of capture the flag By Edd GentMay. 30, 2019 , 2:00 PM Sign up for our daily newsletter Get more great content like this delivered right to you! Country In the new study, researchers got AI bots to teach each other to work as a team. Their classroom was a simplified version of 1999 first-person shooter, Quake III Arena. The game involves two teams that navigate around a 3D map to retrieve a flag from their opponent’s base and return it to theirs. The team with the most captures after 5 minutes wins. Players also fire a laser to tag enemies, sending them back to their home base.To train the AI to work as a team, the scientists created 30 different bots and pitted them against each other in a series of matches on randomly generated maps. The bots trained using brain-inspired algorithms called neural networks, which learn from data by altering the strength of connections between artificial neurons. The only data the bots had to learn from was the first-person visual perspective of their character and game points, awarded for things like picking up flags or tagging opponents. 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Click to view the privacy policy. Required fields are indicated by an asterisk (*) Human gamers know just how hard it is to win a new spin on the classic computer game Quake: In a mazelike arena, they must work with other players to capture floating flags—all while dodging deadly gunfire. Now, for the first time, artificial intelligence (AI) has mastered teamwork in a complex first-person video game, coordinating its actions with both human and computer teammates to consistently beat opponents.“The scale of the experiments is remarkable,” says Michael Littman, an AI expert at Brown University. Getting AI agents to work together is incredibly tough, he says.Although AI can drive cars and easily defeat the world’s greatest chess and Go players one on one, researchers have struggled to get it to master teamwork. The practice may seem intuitive to us, but predicting how others will behave—a crucial component of working on a team—adds a whole new level of complexity and uncertainty for AI to deal with.last_img read more